System and method for analyte measurement using dose sufficiency electrodes

Information

  • Patent Grant
  • 7452457
  • Patent Number
    7,452,457
  • Date Filed
    Friday, October 17, 2003
    20 years ago
  • Date Issued
    Tuesday, November 18, 2008
    15 years ago
Abstract
A method of measuring an analyte in a biological fluid comprises applying an excitation signal having a DC component and an AC component. The AC and DC responses are measured; a corrected DC response is determined using the AC response; and a concentration of the analyte is determined based upon the corrected DC response. Other methods and devices are disclosed.
Description
TECHNICAL FIELD OF THE INVENTION

The present invention relates to a measurement method and apparatus for use in measuring concentrations of an analyte in a fluid. The invention relates more particularly, but not exclusively, to a method and apparatus which may be used for measuring the concentration of glucose in blood.


BACKGROUND OF THE INVENTION

Measuring the concentration of substances, particularly in the presence of other, confounding substances, is important in many fields, and especially in medical diagnosis. For example, the measurement of glucose in body fluids, such as blood, is crucial to the effective treatment of diabetes.


Diabetic therapy typically involves two types of insulin treatment: basal, and meal-time. Basal insulin refers to continuous, e.g. time-released insulin, often taken before bed. Meal-time insulin treatment provides additional doses of faster acting insulin to regulate fluctuations in blood glucose caused by a variety of factors, including the metabolization of sugars and carbohydrates. Proper regulation of blood glucose fluctuations requires accurate measurement of the concentration of glucose in the blood. Failure to do so can produce extreme complications, including blindness and loss of circulation in the extremities, which can ultimately deprive the diabetic of use of his or her fingers, hands, feet, etc.


Multiple methods are known for measuring the concentration of analytes in a blood sample, such as, for example, glucose. Such methods typically fall into one of two categories: optical methods and electrochemical methods. Optical methods generally involve reflectance or absorbance spectroscopy to observe the spectrum shift in a reagent. Such shifts are caused by a chemical reaction that produces a color change indicative of the concentration of the analyte. Electrochemical methods generally involve, alternatively, amperometric or coulometric responses indicative of the concentration of the analyte. See, for example, U.S. Pat. No. 4,233,029 to Columbus, U.S. Pat. No. 4,225,410 to Pace, U.S. Pat. No. 4,323,536 to Columbus, U.S. Pat. No. 4,008,448 to Muggli, U.S. Pat. No. 4,654,197 to Lilja et al., U.S. Pat. No. 5,108,564 to Szuminsky et al., U.S. Pat. No. 5,120,420 to Nankai et al., U.S. Pat. No. 5,128,015 to Szuminsky et al., U.S. Pat. No. 5,243,516 to White, U.S. Pat. No. 5,437,999 to Diebold et al., U.S. Pat. No. 5,288,636 to Pollmann et al., U.S. Pat. No. 5,628,890 to Carter et al., U.S. Pat. No. 5,682,884 to Hill et al., U.S. Pat. No. 5,727,548 to Hill et al., U.S. Pat. No. 5,997,817 to Crismore et al., U.S. Pat. No. 6,004,441 to Fujiwara et al., U.S. Pat. No. 4,919,770 to Priedel, et al., and U.S. Pat. No. 6,054,039 to Shieh, which are hereby incorporated in their entireties.


An important limitation of electrochemical methods of measuring the concentration of a chemical in blood is the effect of confounding variables on the diffusion of analyte and the various active ingredients of the reagent. For example, the geometry and state of the blood sample must correspond closely to that upon which the signal-to-concentration mapping function is based.


The geometry of the blood sample is typically controlled by a sample-receiving portion of the testing apparatus. In the case of blood glucose meters, for example, the blood sample is typically placed onto a disposable test strip that plugs into the meter. The test strip may have a sample chamber (capillary fill space) to define the geometry of the sample. Alternatively, the effects of sample geometry may be limited by assuring an effectively infinite sample size. For example, the electrodes used for measuring the analyte may be spaced closely enough so that a drop of blood on the test strip extends substantially beyond the electrodes in all directions. Ensuring adequate coverage of the measurement electrodes by the sample, however, is an important factor in achieving accurate test results. This has proven to be problematic in the past, particularly with the use of capillary fill spaces.


Other examples of limitations to the accuracy of blood glucose measurements include variations in blood composition or state (other than the aspect being measured). For example, variations in hematocrit (concentration of red blood cells), or in the concentration of other chemicals in the blood, can effect the signal generation of a blood sample. Variations in the temperature of blood samples is yet another example of a confounding variable in measuring blood chemistry.


Thus, a system and method are needed that accurately measure blood glucose, even in the presence of confounding variables, including variations in temperature, hematocrit, and the concentrations of other chemicals in the blood. A system and method are also needed to ensure adequate coverage of the measurement electrodes by the sample, particularly in capillary fill devices. A system and method are likewise needed that accurately measure an analyte in a fluid. It is an object of the present invention to provide such a system and method.


SUMMARY OF THE INVENTION

In one form of the invention, a method of determining dose sufficiency in a test strip for performing a measurement on a biological fluid is disclosed, comprising: providing a biological fluid test strip, comprising: a capillary fill chamber extending a length along the test strip from an intake opening to a terminus, a reagent disposed in the capillary fill chamber between the opening and the terminus, the reagent defining a measurement zone, and at least two dose sufficiency electrodes defining a gap therebetween and in operative communication with the capillary fill chamber, the electrodes located between the measurement zone and the terminus; applying the biological fluid to the opening, whereby the fluid flows from the opening toward the terminus, the flow including a flow front selected from one of a concave, a convex and a substantially flat flow front; applying a test signal to a first one of the electrodes; determining the presence or absence of a response above a predetermined threshold at the second one of the electrodes, the response indicating that the fluid has occupied substantially all of the measurement zone regardless of whether the flow front is concave, convex or substantially flat.


In another form of the invention, a method of determining dose sufficiency in a test strip for performing a measurement on a biological fluid is disclosed, comprising: providing a biological fluid test strip, comprising: a fluid flow intake opening, a fluid flow terminus, a reagent disposed on the test strip between the opening and the terminus, the reagent defining a measurement zone, and at least two dose sufficiency electrodes defining a gap therebetween and located between the measurement zone and the terminus; applying the biological fluid to the opening, whereby the fluid flows from the opening toward the terminus, the flow including a flow front selected from one of a concave, a convex and a substantially flat flow front; applying a test signal to a first one of the electrodes; determining the presence or absence of a response above a predetermined threshold at the second one of the electrodes, the response indicating that the fluid has occupied substantially all of the measurement zone regardless of whether the flow front is concave, convex or substantially flat.


In another form of the invention, a method of determining a dose sufficiency in a test strip for performing a measurement on a biological fluid is disclosed, comprising: providing a biological fluid test strip comprising: a capillary fill chamber extending a length along the test strip, at least two measurement electrodes in operative communication with the chamber, and at least two dose sufficiency electrodes in operative communication with the chamber; applying the biological fluid to the test strip; applying a dose sufficiency test signal having an AC component to one of the dose sufficiency electrodes; and measuring a response to the dose sufficiency test signal at the other of the dose sufficiency electrodes.


In another form of the invention, a method of determining a fill sufficiency in test strip for performing a measurement on a biological fluid is disclosed, comprising: providing a biological fluid test strip including a capillary fill chamber extending a length along the test strip from an intake opening to a terminus, a measurement zone in the chamber positioned intermediate the opening and the terminus, and at least two dose sufficiency electrodes in operative communication with the chamber the electrodes positioned intermediate the measurement zone and the terminus; introducing the biological fluid to the opening effective to cause the fluid to flow toward the terminus whereby the chamber is filled; applying a test signal having an AC component to one of the dose sufficiency electrodes; and detecting a response or an absence of the response to the test signal at the other of the dose sufficiency electrodes effective to indicate the fill sufficiency of the biological fluid.


In another form of the invention, a method of determining dosage fill level in a test strip for performing a measurement on a biological fluid is disclosed, comprising: providing a biological fluid test strip including a capillary fill chamber extending a length along the test strip from an opening to a terminus, and at least two dose sufficiency electrodes in operative communication with the chamber the dose sufficiency electrodes positioned to define a gap between one another; dosing the test strip with a biological fluid effective to cause the biological fluid to begin to fill the chamber; applying a signal having an AC component to one of the dose sufficiency electrodes; measuring a response to the signal at the other of the dose sufficiency electrodes; determining the dosage fill level based upon the response.


In another form of the invention, a method of determining a fill level of a biological fluid in a test strip for performing a measurement on the fluid is disclosed, comprising: providing a test strip including a capillary fill chamber extending a length along the test strip from an opening to a terminus, and at least two dose sufficiency electrodes in operative communication with the chamber the dose sufficiency electrodes positioned to define a gap between one another; introducing the biological fluid to the opening effective to cause the fluid to flow toward the terminus whereby the chamber is filled; applying a test signal having an AC component to one of the dose sufficiency electrodes; and measuring a response to the signal at the other of the dose sufficiency electrodes; determining the fill level of the biological fluid based upon the response wherein the response varies in relation to the fill level. In another form of the invention, a method of determining dosage fill rate in a biological fluid test strip is disclosed, comprising: providing a biological fluid test strip including a capillary fill chamber extending a length along the test strip from an opening to a terminus, and at least two dose sufficiency electrodes in operative communication with the chamber the dose sufficiency electrodes positioned to define a gap between one another; dosing the test strip with a biological fluid effective to cause the biological fluid to begin to fill the chamber; applying a signal having an AC component to one of the dose sufficiency electrodes; measuring a first response to the signal at the other of the dose sufficiency electrodes at a first time; measuring a second response to the signal at the other of the dose sufficiency electrodes at a second time; and determining a rate at which the biological fluid fills the chamber based at least in part upon the first response and the second response.


In another form of the invention, a test strip for performing a measurement on a biological fluid is disclosed, comprising: a capillary fill chamber extending a length along the test strip from an opening to a terminus; at least two measurement electrodes in operative communication with the chamber; and at least two dose sufficiency electrodes in operative communication with the chamber; wherein the dose sufficiency electrodes have first edges essentially parallel to the length of the capillary chamber and second edges essentially perpendicular to the length of the capillary fill chamber with the first edges being of greater length than the second edges.


In another form of the invention, a test strip for performing a measurement on a biological fluid is disclosed, comprising: a capillary fill chamber extending a length along the test strip from an opening to a terminus; a measurement zone in the chamber positioned intermediate the opening and the terminus, and at least two dose sufficiency electrodes in operative communication with the chamber the electrodes positioned intermediate the measurement zone and the terminus; wherein the dose sufficiency electrodes have a first axis essentially parallel to the length of the capillary chamber and a second axis essentially perpendicular to the length of the capillary fill chamber with the first axis being of greater length than the second axis.





BRIEF DESCRIPTION OF THE DRAWINGS

The invention will be further described, by way of example only, with reference to the accompanying drawings, in which:



FIG. 1 is a diagram of a first embodiment excitation signal suitable for use in a system and method according to the present invention, having a serially-applied AC component and DC component.



FIG. 2 is a diagram of a second embodiment excitation signal suitable for use in a system and method according to the present invention, having a simultaneously-applied AC component and DC component.



FIGS. 3A-B illustrate a first embodiment test strip of the present invention.



FIG. 4 is a diagram of an excitation signal utilized in the test of Example 1.



FIG. 5 is a plot of the correlation coefficient r2 (glucose vs. DC current) versus Read Time for the test of Example 1 with no incubation time.



FIG. 6 is a plot of the correlation coefficient r2 (glucose vs. DC current) versus Read Time for the test of Example 1 with varying incubation time.



FIG. 7 is a plot of AC admittance versus hematocrit for the test of Example 2.



FIG. 8 is a plot of uncompensated DC current versus glucose for the test of Example 2.



FIG. 9 is a plot of the predicted glucose response versus the actual glucose response for the test of Example 2.



FIG. 10 is a diagram of an excitation signal utilized in the test of Example 3.



FIG. 11 is a plot of the AC phase angle versus reference glucose for the test of Example 3.



FIG. 12 is a plot of the predicted glucose response versus the actual glucose response for the test of Example 3.



FIG. 13 is a diagram of an excitation signal utilized in the test of Example 4.



FIG. 14 is a plot of AC admittance versus hematocrit (parametrically displayed with temperature) for the test of Example 4.



FIG. 15 is a plot of the uncompensated DC response versus actual glucose for the test of Example 4.



FIG. 16 is a plot of the predicted glucose response versus actual glucose response for the test of Example 4.



FIGS. 17A-B illustrate a second embodiment test strip of the present invention.



FIG. 18 is a plot parametrically illustrating the correlation coefficient r2 between the DC current response and glucose level as Read Time varies for three combinations of temperature and hematocrit in the test of Example 5.



FIG. 19 is a diagram of the excitation signal utilized in the test of Example 5.



FIG. 20 is a plot of AC admittance versus hematocrit as temperature is parametrically varied in the test of Example 5.



FIG. 21 is a plot of AC admittance phase angle versus hematocrit as temperature is parametrically varied in the test of Example 5.



FIG. 22 is a plot of the uncompensated DC response versus actual glucose for the test of Example 5.



FIG. 23 is a plot of the predicted glucose response versus actual glucose response for the test of Example 5.



FIG. 24 is a diagram of the excitation signal utilized in the test of Example 6.



FIG. 25 is a plot of the correlation coefficient r2 between hematocrit and DC response current plotted against hematocrit in the test of Example 6.



FIG. 26 is a plot of AC admittance phase angle versus hematocrit for the test of Example 6.



FIG. 27 is a plot of the uncompensated DC response versus actual glucose for the test of Example 6.



FIG. 28 is a plot of the compensated DC response versus actual glucose for a 1.1 second Total Test Time of Example 6.



FIG. 29 is a plot of the compensated DC response versus actual glucose for a 1.5 second Total Test Time of Example 6.



FIG. 30 is a plot of the compensated DC response versus actual glucose for a 1.9 second Total Test Time of Example 6.



FIG. 31 is a table detailing the heights and widths of the capillary fill channels used in the test devices of Example 8, as well as schematic diagrams of convex and concave sample flow fronts in a capillary fill space.



FIGS. 32A-C are schematic plan views of a test strip illustrating the potential for biased measurement results when a concave flow front encounters a prior art dose sufficiency electrode.



FIG. 33 is a schematic plan view of a test strip of the present invention having a pair of perpendicular dose sufficiency electrodes that are independent from the measurement electrodes.



FIGS. 34A-B are schematic plan views of the test strip of FIG. 33 containing samples with convex and concave flow fronts, respectively.



FIGS. 35A-B are schematic plan views of a test strip of the present invention having a pair of parallel dose sufficiency electrodes that are independent from the measurement electrodes.



FIG. 36 is a schematic plan view of the test strip of FIG. 35, schematically illustrating the electric field lines that communicate between the electrode gap when the electrodes are covered with sample.





DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT

For the purposes of promoting an understanding of the principles of the invention, reference will now be made to the embodiment illustrated in the drawings, and specific language will be used to describe that embodiment. It will nevertheless be understood that no limitation of the scope of the invention is intended. Alterations and modifications in the illustrated device, and further applications of the principles of the invention as illustrated therein, as would normally occur to one skilled in the art to which the invention relates are contemplated, are desired to be protected. In particular, although the invention is discussed in terms of a blood glucose meter, it is contemplated that the invention can be used with devices for measuring other analytes and other sample types. Such alternative embodiments require certain adaptations to the embodiments discussed herein that would be obvious to those skilled in the art.


The entire disclosure of U.S. provisional applications titled DEVICES AND METHODS RELATING TO ELECTROCHEMICAL BIOSENSORS (Ser. No. 60/480,243, filed Jun. 20, 2003) and DEVICES AND METHODS RELATING TO ANALYTE SENSOR (Ser. No. 60/480,397, Filed Jun. 20, 2003) are hereby incorporated by reference in their entireties.


A system and method according to the present invention permit the accurate measurement of an analyte in a fluid. In particular, the measurement of the analyte remains accurate despite the presence of interferants, which would otherwise cause error. For example, a blood glucose meter according to the present invention measures the concentration of blood glucose without error that is typically caused by variations in the temperature and the hematocrit level of the sample. The accurate measurement of blood glucose is invaluable to the prevention of blindness, loss of circulation, and other complications of inadequate regulation of blood glucose in diabetics. An additional advantage of a system and method according to the present invention is that measurements can be made much more rapidly and with much smaller sample volumes, making it more convenient for the diabetic person to measure their blood glucose. Likewise, accurate and rapid measurement of other analytes in blood, urine, or other biological fluids provides for improved diagnosis and treatment of a wide range of medical conditions.


It will be appreciated that electrochemical blood glucose meters typically (but not always) measure the electrochemical response of a blood sample in the presence of a reagent. The reagent reacts with the glucose to produce charge carriers that are not otherwise present in blood. Consequently, the electrochemical response of the blood in the presence of a given signal is intended to be primarily dependent upon the concentration of blood glucose. Secondarily, however, the electrochemical response of the blood to a given signal is dependent upon other factors, including hematocrit and temperature. See, for example, U.S. Pat. Nos. 5,243,516; 5,288,636; 5,352,351; 5,385,846; and 5,508,171, which discuss the confounding effects of hematocrit on the measurement of blood glucose, and which are hereby incorporated by reference in their entireties. In addition, certain other chemicals can influence the transfer of charge carriers through a blood sample, including, for example, uric acid, bilirubin, and oxygen, thereby causing error in the measurement of glucose.


A preferred embodiment system and method for measuring blood glucose according to the present invention operates generally by using the signal-dependence of the contribution of various factors to the impedance (from which admittance and phase angle may be derived) of a blood sample. Because the contribution of various factors to the impedance of a blood sample is a function of the applied signal, the effects of confounding factors (that is, those other than the factors sought to be measured) can be substantially reduced by measuring the impedance of the blood sample to multiple signals. In particular, the effects of confounding factors, (primarily temperature and hematocrit, but also including chemical interferants such as oxygen), contribute primarily to the resistivity of the sample, while the glucose-dependent reaction contributes primarily to the capacitance. Thus, the effects of the confounding factors can be eliminated by measuring the impedance of the blood sample to an AC excitation, either alone or in combination with a DC excitation. The impedance (or the impedance derived admittance and phase information) of the AC signal is then used to correct the DC signal or AC derived capacitance for the effects of interferants.


It will be appreciated that measurements at sufficiently high AC frequencies are relatively insensitive to the capacitive component of the sample's impedance, while low frequency (including DC) measurements are increasingly (with decreasing frequency) sensitive to both the resistive and the capacitive components of the sample's impedance. The resistive and capacitive components of the impedance can be better isolated by measuring the impedance at a larger number of frequencies. However, the cost and complexity of the meter increases as the number of measurements increases and the number of frequencies that need to be generated increases. Thus, in the presently preferred embodiment, the impedance may be measured at greater than ten frequencies, but preferably at between two and ten frequencies, and most preferably at between two and five frequencies.


As used herein, the phrase “a signal having an AC component” refers to a signal which has some alternating potential (voltage) portions. For example, the signal may be an “AC signal” having 100% alternating potential (voltage) and no DC portions; the signal may have AC and DC portions separated in time; or the signal may be AC with a DC offset (AC and DC signals superimposed).


Sample Measurement with Successive AC and DC Signals



FIG. 1 illustrates a preferred embodiment excitation signal suitable for use in a system and method according to the present invention, indicated generally at 100, in which DC excitation and four frequencies of AC excitation are used. FIG. 1 also illustrates a typical response to the excitation when the excitation is applied to a sample of whole blood mixed with an appropriate reagent, the response indicated generally at 102. A relatively high frequency signal is applied, starting at time 101. In the preferred embodiment the frequency is between about 10 kHz and about 20 kHz, and has an amplitude between about 12.4 mV and about 56.6 mV. A frequency of 20 kHz is used in the example of FIG. 1. Those skilled in the art will appreciate that these values may be optimised to various parameters such as cell geometry and the particular cell chemistry.


At time 110 a test strip is inserted into the meter and several possible responses to the insertion of the test strip into the glucose meter are shown. It will be appreciated that the test strip may also be inserted before the excitation signal 100 is initiated (i.e. before time 101); however, the test strip itself may advantageously be tested as a control for the suitability of the strip. It is therefore desirable that the excitation signal 100 be initiated prior to test strip insertion. For example, relatively large current leakage, as shown at 112, may occur if the strip is wet, either because the test strip was pre-dosed, or due to environmental moisture. If the test strip has been pre-dosed and permitted to largely or completely dry out, an intermediate current leakage may occur, as shown at 114. Ideally, insertion of the test strip will cause no or negligible leakage current due to an expected absence of charge carriers between the test electrodes, as shown at 116. Measured current leakage above a predetermined threshold level will preferably cause an error message to be displayed and prevent the test from continuing.


Once a suitable test strip has been inserted, the user doses the strip, as shown at time 120. While the blood sample is covering the electrodes the current response will rapidly increase, as the glucose reacts with the reagent and the contact area increases to maximum. The response current will reach a stable state, which indicates the impedance of the sample at this frequency. Once this measurement is made and recorded by the test meter, the excitation frequency is then stepped down to about 10 kHz in the preferred embodiment, as shown at time 130. Another measurement is made and recorded by the test meter, and the frequency is stepped down to about 2 kHz in the preferred embodiment, as shown at 140. A third measurement is made and recorded by the test meter at this frequency. A fourth measurement is made at about 1 kHz in the preferred embodiment, as shown at 150. In the preferred embodiment, measurements are taken at regular intervals (e.g. 10 points per cycle). It will be appreciated that the stable state response may be measured as current or voltage (preferably both magnitude and phase) and the impedance and/or admittance can be calculated therefrom. Although the present specification and claims may refer alternately to the AC response as impedance or admittance (magnitude and/or phase), resistance, conductivity, current or charge, and to the DC response as current, charge, resistance or conductivity, those skilled in the art will recognize that these measures are interchangeable, it only being necessary to adjust the measurement and correction mathematics to account for which measure is being employed. In the preferred embodiment, the test meter applies a voltage to one electrode and measures the current response at the other electrode to obtain both the AC and DC response.


In certain alternative embodiments measurements are made at fewer or more frequencies. Preferably measurements are made at at least two AC frequencies at least an order of magnitude apart. If more than two AC frequencies are used, then it is preferable that the highest and lowest frequencies be at least an order of magnitude apart.


It will be appreciated that various waveforms may be used in an AC signal, including, for example, sinusoidal, trapezoidal, triangle, square and filtered square. In the presently preferred embodiment the AC signal has a filtered square waveform that approximates a sine wave. This waveform can be generated more economically than a true sine wave, using a square wave generator and one or more filters.


Once all four AC measurements are made, the signal is preferably briefly reduced to zero amplitude, as shown at 160. The DC excitation is then begun, as shown at 170. The amplitude of the DC excitation is advantageously selected based on the reagent being used, in order to maximise the resulting response or response robustness. For example, if ferricyanide is being used in a biamperometry system, the DC amplitude is preferably about 300 mV. For another example, if a nitrosoaniline derivative is being used in a biamperometry system, the DC amplitude is preferably about 500-550 mV. In the alternative, if a third reference electrode is used, the DC applitude is preferably 600 mV (versus the silver/silver chloride reference electrode) for ferricyanide, and 40-100 mV (versus the silver/silver chloride reference electrode) for nitrosoaniline derivative. During DC excitation, measurements are preferably made at a rate of 100 pts/sec. The current response will follow a decay curve (known as a Cottrell curve), as the reaction is limited by the diffusion of unreacted glucose next to the working electrode. The resulting stable-state amplitude (measured or projected) is used to determine a glucose estimation of the sample, as is known in the art. A corrected estimation is then determined that corresponds more closely to the concentration of glucose in the blood, by using the impedance of the sample to the AC signal to correct for the effects of interferants, as explained in greater detail hereinbelow.


It will be appreciated that a method according to the present invention may also be used to measure the concentration of other analytes and in other fluids. For example, a method according to the present invention may be used to measure the concentration of a medically significant analyte in urine, saliva, spinal fluid, etc. Likewise, by appropriate selection of reagent a method according to the present invention may be adapted to measure the concentration of, for example, lactic acid, hydroxybutyric acid, etc.


Sample Measurement with Simultaneously Applied AC and DC Signals


It will be appreciated that at least some of the applied DC and AC components can also be applied simultaneously. FIG. 2 illustrates an excitation signal suitable for use in a system and method according to the present invention in which some of the AC and DC components are applied simultaneously, indicated generally at 200, and having corresponding events numbered correspondingly to FIG. 1 (so, for example, the signal 200 is initiated at time 201, and a strip is inserted at time 210, etc.). As with the signal 100, the signal 200 has a frequency of about 10-20 kHz and an amplitude of about 12.4-56.6 mV. However, after the strip has been dosed, as shown at time 220, a DC offset is superimposed, as shown at 270. Typical AC and DC responses are shown in FIG. 2. The AC and DC responses are measured simultaneously and mathematically deconvoluted and used to determine the impedance (admittance magnitude and phase) and the amperometric or coulometric response.


A system for measuring blood glucose according to the present invention advantageously employs a blood glucose meter and test strips generally similar to those used in prior art systems, such as those commercially available from Roche Diagnostics, and such as are described in U.S. Pat. Nos. 6,270,637; and 5,989,917, which are hereby incorporated in their entireties. These test strips provide apparati having a sample cell in which the blood sample is received for testing, and electrodes disposed within the sample cell through which the excitation signal is provided and the measurements are made. Those skilled in the art will appreciate that these test strips and meters may advantageously be used for the measurement of glucose in blood, but that other apparati may be more suitable for the measurement of other analytes or other biological fluids when practising the present invention.


A suitable glucose meter may be adapted from such known meters by the addition of electronic circuitry that generates and measures signals having AC and DC components, such as those described hereinabove, and by being programmed to correct the DC measurement using the AC measurement(s), as described in greater detail hereinbelow. It will be appreciated that the specific geometry and chemistry of the test strips can cause variations in the relationships between the concentration of glucose, hematocrit, and temperature, and the impedance of a sample. Thus, a given combination of test strip geometry and chemistry must be calibrated, and the meter programmed with the corresponding algorithm. The present invention comprehends the application of excitation signals in any order and combination. For example, the present invention comprehends the application of 1) AC only, 2) AC then DC, 3) AC then DC then AC, 4) DC then AC, and 5) AC with a DC offset, just to name a few of the possible permutations.


The use of the complex AC impedance measurement data to correct for the effects of interferants on the DC measurement is advantageously illustrated by the following series of examples. These examples illustrate how the principles of the present invention can facilitate improvements in accuracy and test speed when measuring the concentration of an analyte in a test specimen. Although the following examples deal with correcting for the interfering effects of hematocrit and temperature on blood glucose determinations, those skilled in the art will recognize that the teachings of the present invention are equally useful for correcting for the effects of other interferants in both blood glucose measurements and in the measurement of other analytes. Furthermore, the present specification and claims refer to steps such as “determine the hematocrit value” and “determine the temperature,” etc. To use the hematocrit value as an example, it is intended that such statements include not only determining the actual hematocrit value, but also a hematocrit correction factor vs. some nominal point. In other words, the process may never actually arrive at a number equal to the hematocrit value of the sample, but instead determine that the sample's hematocrit differs from a nominal value by a certain amount. Both concepts are intended to be covered by statements such as “determine the hematocrit value.”


EXAMPLE 1
DC-Only Measurement Dose Response Study

The measurements made in Example 1 were achieved using the test strip illustrated in FIGS. 3A-B and indicated generally at 300. The test strip 300 includes a capillary fill space containing a relatively thick film reagent and working and counter electrodes, as described in U.S. Pat. No. 5,997,817, which is hereby incorporated by reference. The test strip 300 is commercially available from Roche Diagnostics Corporation (Indianapolis, Ind.) under the brand name Comfort Curve®. The ferricyanide reagent used had the composition described in Tables I and II.









TABLE I





Reagent Mass Composition - Prior to Dispense and Drying





















Mass for



Component
% w/w
1 kg





solid
Polyethylene oxide (300 kDa)
0.8400%
 8.4000 g


solid
Natrosol 250M
0.0450%
 0.4500 g


solid
Avicel RC-591 F
0.5600%
 5.6000 g


solid
Monobasic potassium
1.2078%
12.0776 g



phosphate (annhydrous)


solid
Dibasic potassium phosphate
2.1333%
21.3327 g



(annhydrous)


solid
Sodium Succinate hexahydrate
0.6210%
 6.2097 g


solid
Quinoprotein glucose dehydrogenase
0.1756%
 1.7562 g



(EnzC#: 1.1.99.17)


solid
PQQ
0.0013%
 0.0125 g


solid
Trehalose
2.0000%
20.0000 g


solid
Potassium Ferricyanide
5.9080%
59.0800 g


solid
Triton X-100
0.0350%
 0.3500 g


solvent
Water
86.4731%
864.7313 g 













% Solids
0.1352687



Target pH
6.8



Specific Enzyme Activity Used (U/mg)
689 DCIP



Dispense Volume per Sensor
 4.6 mg

















TABLE II







Reagent Layer Composition - After Drying













Mass per



Component
% w/w
Sensor














solid
Polyethylene oxide (300 kDa)
6.2099%
38.6400 ug


solid
Natrosol 250M
0.3327%
 2.0700 ug


solid
Avicel RC-591 F
4.1399%
25.7600 ug


solid
Monobasic potassium
8.9286%
55.5568 ug



phosphate (annhydrous)


solid
Dibasic potassium phosphate
15.7706%
98.1304 ug



(annhydrous)


solid
Sodium Succinate hexahydrate
4.5906%
28.5646 ug


solid
Quinoprotein glucose dehydrogenase
1.2983%
 8.0784 ug



(EnzC#: 1.1.99.17)


solid
PQQ
0.0093%
 0.0576 ug


solid
Trehalose
14.7854%
92.0000 ug


solid
Potassium Ferricyanide
43.6760%
271.7680 ug 


solid
Triton X-100
0.2587%
 1.6100 ug









In the measurements, blood samples were applied to test strip 300 and the excitation potentials illustrated in FIG. 4 were applied to the electrodes. The excitation comprised a 2 kHz 40 mVrms (56.56 mV peak) AC signal applied between 0 seconds and approximately 4.5 seconds after sample application, followed by a 300 mV DC signal applied thereafter. For the calculations of this example, however, only the DC measurement data was analyzed.


In order to determine the minimum needed DC excitation time, a “dose response” study was performed, in which glycollyzed (glucose depleted) blood was divided into discrete aliquots and controlled levels of glucose were added to obtain five different known levels of glucose in the blood samples. The resulting DC current profile was then examined as two parameters were varied. The first parameter was the Incubation Time, or the time between the detection of the blood sample being applied to the test strip 300 and the application of the DC potential to the test strip 300. The second parameter to be varied was the Read Time, or the time period after application of the DC potential and the measurement of the resulting current. The length of time between detection of the blood sample being applied to the test strip to the taking of the last measurement used in the concentration determination calculations is the Total Test Time. In this study, therefore, the sum of the Incubation Time and the Read Time is the Total Test Time. The results of this study are illustrated in FIGS. 5 and 6.


In FIG. 5, the DC response was measured with no incubation time (Read Time=Total Test Time). FIG. 5 plots the correlation coefficient r2 versus Read Time. As can be seen, the correlation exceeds 0.95 within 1.0 second. In FIG. 6, the DC response was measured with varying Incubation Time. When an Incubation Time is provided (even an Incubation Time as short as two (2) seconds), the r2 value rose to over 0.99 in 0.5 seconds or less after application of the DC potential.


The barrier to implementation of such fast test times in a consumer glucose test device, however, is the variation from blood sample to blood sample of the level of interference from the presence of blood cells in the sample. The hematocrit (the percentage of the volume of a blood sample which is comprised of cells versus plasma) varies from individual to individual. The interference effect of hematocrit on such measurements is fairly complex. In the tests of Example 1, however, all samples contained the same level of hematocrit. With no variable hematocrit influence at the different glucose levels, the hematocrit term cancels out in the correlation figures.


EXAMPLE 2
Combined AC and DC Measurement of Capillary Blood Samples

The measurements made in Example 2 were also achieved using the test strip illustrated in FIGS. 3A-B and indicated generally at 300. As described above, the test strip 300 includes a capillary fill space containing a relatively thick film reagent and working and counter electrodes, as described in U.S. Pat. No. 5,997,817, which is hereby incorporated herein by reference.


In the measurements, capillary blood samples from various fingerstick donors were applied to test strip 300 and the excitation potentials illustrated in FIG. 4 were applied to the electrodes. The excitation comprised a 2 kHz 40 mVrms AC signal applied between 0 seconds and approximately 4.5 seconds after sample application, followed by a 300 mV DC signal applied thereafter.


In this Example 2, the AC response of the sample was derived as admittance (the inverse of impedance). The admittance response is proportionate to the hematocrit level of the sample in a temperature dependent manner. The relationship between admittance, hematocrit and testing temperature is illustrated in FIG. 7. The data used for the admittance charted in FIG. 7 is the last admittance measurement made for each sample during the AC portion of the excitation illustrated in FIG. 4.


Regression analysis of this data allows admittance, hematocrit and temperature to be related according to the following formula:

Hest=c0+c1Y2kHz+c2dT  (Equation 1)

Using this relationship to predict the blood hematocrit is accomplished using test temperature data reported by the temperature sensor in the meter and the measured admittance. In Equation 1, c0, c1 and c2 are constants, dT is the deviation in temperature from a center defined as “nominal” (24° C. for example), and Hest is the estimated deviation in hematocrit from a similar “nominal” value. For the present purposes, the actual hematocrit value is not necessary, and it is generally preferred to produce a response which is proportionate but centers around a nominal hematocrit. Thus, for a 70% hematocrit, the deviation from a nominal value of 42% would be 28%, while conversely for a 20% hematocrit the deviation from that same nominal value would be −22%.


By using the AC admittance measurement to estimate the hematocrit level using Equation 1, the accuracy of the DC glucose response can be greatly improved by combining the estimated hematocrit, temperature and DC response to correct for the hematocrit interference in the DC response as follows:

PRED=(a0+hct1Hest+hct2Hest2+tau1dT+tau2dT2)+(a1DC)(1+hct3Hest+hct4Hest2)(1+tau3dT+tau4dT2)  (Equation 2)

where DC is the measured glucose current response to the applied DC signal and PRED is the compensated (predicted) glucose response corrected for the effects of hematocrit and temperature. The constants (a0, hct1, hct2, tau1, tau2, a1, hct3, hct4, tau3 and tau4) in Equation 2 can be determined using regression analysis, as is known in the art.



FIG. 8 illustrates the uncompensated 5.5 second DC glucose response of all of the capillary blood samples as temperature varies (ignoring the AC measurement data). As will be appreciated, there is a wide variation in the DC current response as temperature and hematocrit vary. FIG. 9 illustrates the correlation between the actual blood glucose level of the sample versus the predicted response using Equation 2. As can be seen, when the DC response is compensated for hematocrit levels using the AC response data, r2 values of 0.9404 to 0.9605 are achieved with a Total Test Time of 5.5 seconds.


EXAMPLE 3
Use of AC Phase Angle to Estimate Blood Glucose Levels and Hematocrit

The measurements made in Example 3 were also achieved using the test strip illustrated in FIGS. 3A-B and indicated generally at 300. As described above, the test strip 300 includes a capillary fill space containing a relatively thick film reagent and working and counter electrodes, as described in U.S. Pat. No. 5,997,817, which is hereby incorporated by reference. Because hematocrit levels from capillary blood samples typically vary only between 30%-50%, spiked venous blood samples having a hematocrit range from 20%-70% were used for this Example 3. Five levels of glucose, temperature (14, 21, 27, 36 and 42° C.) and hematocrit (20, 30, 45, 60 and 70%) were independently varied, producing a covariance study with 125 samples.


In the measurements, blood samples were applied to test strip 300 and the excitation potentials illustrated in FIG. 10 were applied to the electrodes. The excitation comprised a 2 kHz AC signal for approximately 4.1 seconds, a 1 kHz AC signal for approximately 0.1 seconds, and a 200 Hz signal for approximately 0.1 seconds. All three AC signals had an amplitude of 56.56 mV peak. No DC excitation was used in this example. The Total Test Time was 4.3 seconds from sample application time.


It was found that another component of the AC response, the phase angle (particularly at lower frequencies, such as 200 Hz in this Example 3), is also a function of the sample glucose level in the case of this test strip and reagent. This relationship is demonstrated in FIG. 11, where the AC phase angle for each of the three test frequencies is plotted versus the reference glucose level. Regression analysis for each of the three frequencies produces AC phase angle-to-reference glucose level r2 correlation values of 0.9114 at 2 kHz, 0.9354 at 1 kHz, and 0.9635 at 200 Hz. The present invention therefore comprehends the use of the AC phase angle to measure glucose levels. The AC excitation frequency producing the measured phase angle is preferably 2 kHz or below, more preferably 1 kHz or below, and most preferably 200 Hz or below, but not including DC excitation.


The linearized relationship between the 200 Hz phase angle response and the blood glucose level is as follows:

Peff=(Φ200 Hz/Γ)−γ  (Equation 3)

where Peff is the effective phase, which is proportional to glucose, the terms Γ and γ are constants, and Φ is the measured AC phase angle.


Using the same approach to compensate for temperature and hematocrit as used in Example 1 above (see Equations 1 and 2) produced a predictive algorithm as follows:

PRED=(a0+hct1Hest+hct2Hest2+tau1dT+tau2dT2)+(a1Peff)(1+hct3Hest+hct4Hest2)(1+tau3dT+tau4dT2)  (Equation 4)

The resulting compensated (predicted) response PRED versus glucose for the 125 blood samples (each tested with eight test strips) is shown in FIG. 12. The r2 correlation of the PRED response vs. known glucose level, where all temperatures and all hematocrits are combined, is 0.9870. This Example 3 demonstrates again the value of AC measurements for compensating for interferants that reduce the accuracy of blood glucose measurements. Using an existing commercially available sensor, the present invention yields a 4.3 second Total Test Time with an overall r2 of 0.9870.


It was also determined that AC phase angle measurements can produce hematocrit level measurements that are almost immune to the effects of temperature variation. In another covariant study of 125 samples (five glucose concentrations, five hematocrit concentrations and five temperatures), each of the samples was tested using an excitation profile of 20 kHz, 10 kHz, 2 kHz, 1 kHz and DC. The AC phase angle at various frequencies was related to glucose, hematocrit and temperature using linear regression to determine the coefficients of the following formula at each of the four AC frequencies:

Phase=c0+c1Glu+c2HCT+c3Temp  (Equation 5)

where Glu is the known glucose concentration, HCT is the known hematocrit concentration and Temp is the known temperature.


The determined coefficients revealed that the temperature coefficient (c3) was essentially zero at 20 kHz and 10 kHz, cancelling temperature from the equation at these frequencies. Furthermore, the glucose coefficient (c1) is essentially zero at all of the AC frequencies because, as explained hereinabove, the higher frequency AC impedance measurements are largely unaffected by glucose levels and are therefore useful for measuring the levels of interfering substances. It was therefore found that the hematocrit level could be determined independent of temperature and glucose level using only the AC phase angle measurements. In a preferred embodiment, the hematocrit may be measured using the phase angle data from all four measured frequencies:

Hest=c0+c1Φ20 kHz+c2Φ10kHz+c3Φ2kHz+c4Φ1kHz  (Equation 6)

Those skilled in the art will recognise that that the coefficients can be empirically determined for any particular test strip architecture and reagent chemistry. The present invention therefore may be used to estimate hematocrit using only AC phase angle measurements preferably made at at least one AC frequency, more preferably made at at least two AC frequencies, and most preferably made at at least four AC frequencies.


EXAMPLE 4
Combined AC and DC Measurement Using Nitrosoaniline Reagent

The measurements made in Example 4 were also achieved using the test strip illustrated in FIGS. 3A-B and indicated generally at 300. As described above, the test strip 300 includes a capillary fill space containing a relatively thick film reagent and working and counter electrodes, as described in U.S. Pat. No. 5,997,817, which is hereby incorporated by reference. The test strip was modified from that described in U.S. Pat. No. 5,997,817, however, by the use of a different reagent. The nitrosoaniline reagent used had the composition described in Tables III and IV.









TABLE III





Reagent Mass Composition - Prior to Dispense and Drying





















Mass for



Component
% w/w
1 kg





solid
Polyethylene oxide (300 kDa)
0.8054%
 8.0539 g


solid
Natrosol 250M
0.0470%
 0.4698 g


solid
Avicel RC-591 F
0.5410%
 5.4104 g


solid
Monobasic potassium
1.1437%
11.4371 g



phosphate (annhydrous)


solid
Dibasic potassium phosphate
1.5437%
15.4367 g



(annhydrous)


solid
Disodium Succinate hexahydrate
0.5876%
 5.8761 g


solid
Potassium Hydroxide
0.3358%
 3.3579 g


solid
Quinoprotein glucose dehydrogenase
0.1646%
 1.6464 g



(EnzC#: 1.1.99.17)


solid
PQQ
0.0042%
 0.0423 g


solid
Trehalose
1.8875%
18.8746 g


solid
Mediator 31.1144
0.6636%
 6.6363 g


solid
Triton X-100
0.0327%
 0.3274 g


solvent
Water
92.2389%
922.3888 g 













% Solids
0.1352687



Target pH
6.8



Specific Enzyme Activity Used (U/mg)
689 DCIP



Dispense Volume per Sensor
 4.6 mg

















TABLE IV







Reagent Layer Composition - After Drying













Mass per



Component
% w/w
Sensor














solid
Polyethylene oxide (300 kDa)
10.3829%
37.0480 ug


solid
Natrosol 250M
0.6057%
 2.1611 ug


solid
Avicel RC-591 F
6.9749%
24.8877 ug


solid
Monobasic potassium
14.7445%
52.6107 ug



phosphate (annhydrous)


solid
Dibasic potassium phosphate
19.9006%
71.0087 ug



(annhydrous)


solid
Disodium Succinate hexahydrate
7.5753%
27.0299 ug


solid
Potassium Hydroxide
4.3289%
15.4462 ug


solid
Quinoprotein glucose dehydrogenase
2.1225%
 7.5734 ug



(EnzC#: 1.1.99.17)


solid
PQQ
0.0546%
 0.1947 ug


solid
Trehalose
24.3328%
86.8243 ug


solid
Mediator BM 31.1144
8.5553%
30.5268 ug


solid
Triton X-100
0.4220%
 1.5059 ug









The method for the manufacture of the glucose biosensor for this Example 4 is the same in all respects as disclosed in U.S. Pat. No. 5,997,817 except for the manufacture of the reagent. A protocol for the preparation of the preferred embodiment nitrosoaniline reagent is as follows:

  • Step 1: Prepare a buffer solution by adding 1.54 g of dibasic potassium phosphate (anhydrous) to 43.5 g of deionized water. Mix until the potassium phosphate is dissolved.
  • Step 2: To the solution from step 1, add 1.14 g of monobasic potassium phosphate and mix until dissolved.
  • Step 3: To the solution from step 2, add 0.59 g of disodium succinate (hexahydrate) and mix until dissolved.
  • Step 4: Verify that the pH of the solution from step 3 is 6.7+/−0.1. Adjustment should not be necessary.
  • Step 5: Prepare a 5 g aliquot of the solution from step 4, and to this add 113 kilounits (by DCIP assay) of the apoenzyme of quinoprotein glucose dehydrogenase (EC#: 1.1.99.17). This is approximately 0.1646 g. Mix, slowly, until the protein is dissolved.
  • Step 6: To the solution from step 5, add 4.2 milligrams of PQQ and mix for no less than 2 hours to allow the PQQ and the apoenzyme to reassociate in order to provide functional enzyme.
  • Step 7: To the solution from step 4, add 0.66 g of the mediator precursor, N,N-bis(hydroxyethyl)-3-methoxy-4-nitrosoaniline (hydrochloride) (BM 31.1144). Mix until dissolved (this solution will have a greenish black coloration).
  • Step 8: Measure the pH of the solution from step 7 and adjust the pH to a target of 7.0+/−0.1. Normally this is accomplished with 1.197 g of 5N potassium hydroxide. Because the specific amount of potassium hydroxide may vary as needed to reach the desired pH, generally deviations in mass from the 1.197 g are made up from an aliquot of 3.309 g deionized water which is also added at this step.
  • Step 9: Prepare a solution of Natrosol 250M (available from Aqualon), by slowly sprinkling 0.047 g over 44.57 g of deionized water which is mixed (using a rotary mixer and blade impeller) at a rate of approximately 600 rpm in a vessel of sufficient depth such that the rotor blades are not exposed nor the solution running over. Mix until the Natrosol is completely dissolved.
  • Step 10: Prepare a suspension of Avicel RC-591F (available from FMS), by slowly sprinkling 0.54 g onto the surface of the solution from step 9, mixing at a rate of approximately 600 rpm for not less than 60 minutes before proceeding.
  • Step 11: To the suspension from step 10, gradually add 0.81 g of Polyethylene oxide of 300 kDa mean molecular weight while mixing and continue to mix for not less than 60 minutes before proceeding.
  • Step 12: Gradually add the solution from step 8 to the suspension from step 11 while mixing. Reduce the mixing rate to 400 rpm.
  • Step 13: To the reagent from step 12, add 1.89 g of Trehalose and continue mixing for not less than 15 minutes.
  • Step 14: To the reagent from step 13, add 32.7 mg of Triton X-100 (available from Roche Diagnostics) and continue mixing.
  • Step 15: To the reagent from step 14, add the enzyme solution from step 6. Mix for no less than 30 minutes. At this point the reagent is complete. At room teperature the wet reagent mass is considered acceptable for use for 24 hours.


Spiked venous blood samples were used. Five levels of glucose, four temperatures (19, 23, 32 and 38° C.) and five levels of hematocrit (20, 30, 45, 60 and 70%) were independently varied, producing a covariance study with 100 samples. 16 test strips 300 were tested for each unique combination of glucose, temperature and hematocrit. The blood samples were applied to test strip 300 and the excitation potentials illustrated in FIG. 13 were applied to the electrodes. The excitation comprised a 3.2 kHz AC signal for approximately 4.0 seconds, a 2.13 kHz AC signal for approximately 0.1 seconds, a 1.07 kHz AC signal for approximately 0.1 seconds, a 200 Hz AC signal for approximately 0.1 seconds, a 25 Hz AC signal for approximately 0.1 seconds, followed by a DC signal of 550 mV for approximately 1.0 second. All four AC signals had an amplitude of 56.56 mV peak. The Total Test Time was 5.5 seconds from sample application time.


In this Example 4, the AC response of the sample was derived as admittance (the inverse of impedance). The admittance response is proportionate to the hematocrit level of the sample in a temperature dependent manner. The relationship between admittance, hematocrit and testing temperature is illustrated in FIG. 14. As compared to the test strip architecture of Example 2, the orthogonality of the temperature and hematocrit influence on glucose was not as strong in this Example 4, therefore a cross product term (T×HCT) was added to the admittance regression formula used in FIG. 14. The data used for the admittance charted in FIG. 14 is the last admittance measurement made for each sample during the 3.2 kHz AC portion of the excitation illustrated in FIG. 13.


Regression analysis of this data allows admittance, hematocrit and temperature to be related according to the following formula:

Hest=(Y3.2kHz+c0+c1dT)/(c2dT+c3)  (Equation 7)

It was determined that the admittance measurement made at 3.2 kHz was best correlated with hematocrit for this test system. Using this relationship to predict the blood hematocrit is accomplished using test temperature data reported by the temperature sensor in the meter and the measured admittance. In Equation 7, c0, c1, c2 and c3 are constants, dT is the deviation in temperature from a center defined as “nominal” (24° C. for example), and Hest is the estimated deviation in hematocrit from a similar “nominal” value. For the present purposes, the actual hematocrit value is not necessary, and it is generally preferred to produce a response which is proportionate but centers around a nominal hematocrit. Thus, for a 70% hematocrit, the deviation from a nominal value of 42% would be 28%, while conversely for a 20% hematocrit the deviation from the same nominal value would be −22%.


By using the AC admittance measurement to estimate the hematocrit level using Equation 7, the accuracy of the DC glucose response can be greatly improved by combining the estimated hematocrit, temperature and DC response to correct for the hematocrit interference in the DC response as follows (same as Equation 2 above):

PRED=(a0+hct1Hest+hct2Hest2+tau1dT+tau2dT2)+(a1DC)(1+hct3Hest+hct4Hest2)(1+tau3dT+tau4dT2)  (Equation 8)

The constants in Equation 8 can be determined using regression analysis, as is known in the art.



FIG. 15 illustrates the uncompensated 5.5 second DC glucose response of all of the blood samples as hematocrit and temperature vary (ignoring the AC measurement data). As will be appreciated, there is a wide variation in the DC current response as temperature and hematocrit vary. FIG. 16 illustrates the correlation between the actual blood glucose level of the sample versus the predicted response using Equation 8. As can be seen, when the DC response is compensated for hematocrit levels using the AC response data, an overall r2 value of 0.9818 is achieved with a Total Test Time of 5.5 seconds. This demonstrates the applicability of the present invention in achieving high accuracy and fast test times with a different reagent class than was used in Examples 1-3.


EXAMPLE 5
Combined AC and DC Measurement Using a 0.397 μl Sample

The measurement methods of the present invention have been found to be useful with other test strip designs as well. Example 5 was conducted using the test strip design illustrated in FIGS. 17A-B, and indicated generally at 1700. Referring to FIG. 17A, the test strip 1700 comprises a bottom foil layer 1702 formed from an opaque piece of 350 μm thick polyester (in the preferred embodiment this is Melinex 329 available from DuPont) coated with a 50 nm conductive (gold) layer (by sputtering or vapor deposition, for example). Electrodes and connecting traces are then patterned in the conductive layer by a laser ablation process to form working, counter, and dose sufficiency electrodes (described in greater detail hereinbelow) as shown. The laser ablation process is performed by means of an excimer laser which passes through a chrome-on-quartz mask. The mask pattern causes parts of the laser field to be reflected while allowing other parts of the field to pass through, creating a pattern on the gold which is ejected from the surface where contacted by the laser light.


Examples of the use of laser ablation techniques in preparing electrodes for biosensors are described in U.S. patent application Ser. No. 09/866,030, “Biosensors with Laser Ablation Electrodes with a Continuous Coverlay Channel” filed May 25, 2001, and in U.S. patent application Ser. No. 09/411,940, entitled “Laser Defined Features for Patterned Laminates and Electrode,” filed Oct. 4, 1999, both disclosures incorporated herein by reference.


The bottom foil layer 1702 is then coated in the area extending over the electrodes with a reagent layer 1704 in the form of an extremely thin reagent film. This procedure places a stripe of approximately 7.2 millimeters width across the bottom foil 1702 in the region labelled “Reagent Layer” on FIG. 17. In the present Example, this region is coated at a wet-coat weight of 50 grams per square meter of coated surface area leaving a dried reagent less than 20 μm thick. The reagent stripe is dried conventionally with an in-line drying system where the nominal air temperature is at 110° C. The rate of processing is nominally 30-38 meters per minute and depends upon the rheology of the reagent.


The materials are processed in continuous reels such that the electrode pattern is orthogonal to the length of the reel, in the case of the bottom foil 1702. Once the bottom foil 1702 has been coated with reagent, the spacer is slit and placed in a reel-to-reel process onto the bottom foil 1702. Two spacers 1706 formed from 100 μm polyester (in the preferred embodiment this is Melinex 329 available from DuPont) coated with 25 μm PSA (hydrophobic adhesive) on both the dorsal and ventral surfaces are applied to the bottom foil layer 1702, such that the spacers 1706 are separated by 1.5 mm and the working, counter and dose sufficiency electrodes are centered in this gap. A top foil layer 1708 formed from 100 μm polyester coated with a hydrophilic film on its ventral surface (using the process described in U.S. Pat. No. 5,997,817) is placed over the spacers 1706. In the preferred embodiment, the hydrophilic film is coated with a mixture of Vitel and Rhodapex surfactant at a nominal thickness of 10 microns. The top foil layer 1708 is laminated using a reel-to-reel process. The sensors can then be produced from the resulting reels of material by means of slitting and cutting.


The 1.5 mm gap in the spacers 1706 therefore forms a capillary fill space between the bottom foil layer 1702 and the top foil layer 1708. The hydrophobic adhesive on the spacers 1706 prevents the test sample from flowing into the reagent under the spacers 1706, thereby defining the test chamber volume. Because the test strip 1700 is 5 mm wide and the combined height of the spacer 1706 and conductive layer is 0.15 mm, the sample receiving chamber volume is

5mm×1.5mm×0.15mm=1.125μl  (Equation 9)


As shown in FIG. 17B, the distance from the sample application port 1710 and the dose sufficiency electrodes is 1.765 mm. The volume of sample needed to sufficiently cover the working, counter and dose sufficiency electrodes (i.e. the minimum sample volume necessary for a measurement) is

1.5mm×1.765mm×0.15mm=0.397μl  (Equation 10)


The reagent composition for the test strip 1700 is given in Tables V and VI.









TABLE V







Reagent Mass Composition - Prior to Dispense and Drying













Mass for



Component
% w/w
1 kg





solid
Polyethylene oxide (300 kDa)
1.0086%
10.0855 g 


solid
Natrosol 250M
0.3495%
3.4954 g


solid
Carboxymethylcellulose 7HF
0.3495%
3.4954 g


solid
Monobasic potassium
0.9410%
9.4103 g



phosphate (annhydrous)


solid
Dibasic potassium phosphate
1.6539%
16.5394 g 



(trihydrous)


solid
Disodium Succinate hexahydrate
0.2852%
2.8516 g


solid
Potassium Hydroxide
0.2335%
2.3351 g


solid
Quinoprotein glucose
0.3321%
3.3211 g



dehydrogenase (EnzC#: 1.1.99.17)


solid
PQQ
0.0093%
0.0925 g


solid
Trehalose
0.7721%
7.7210 g


solid
Mediator 31.1144
0.6896%
6.8956 g


solid
Triton X-100
0.0342%
0.3419 g


solvent
Water
93.7329%
937.3293 g 













% Solids
6.6585%



Target pH
 7



Specific Enzyme Activity Used (U/mg)
689 DCIP



Wet Reagent Coat Weight per Sensor (ug/mm2)
50

















TABLE VI







Reagent Layer Composition - After Drying













Mass per



Component
% w/w
Sensor*














solid
Polyethylene oxide (300 kDa)
15.1469%
3.7821 ug


solid
Natrosol 250M
5.2495%
1.3108 ug


solid
Carboxymethylcellulose 7HF
5.2495%
1.3108 ug


solid
Monobasic potassium phosphate
14.1328%
3.5289 ug



(annhydrous)


solid
Dibasic potassium phosphate (trihydrous)
24.8395%
6.2023 ug


solid
Disodium Succinate hexahydrate
4.2827%
1.0694 ug


solid
Potassium Hydroxide
3.5069%
0.8757 ug


solid
Quinoprotein glucose dehydrogenase
4.9878%
1.2454 ug



(EnzC#: 1.1.99.17)


solid
PQQ
0.1390%
0.0347 ug


solid
Trehalose
11.5958%
2.8954 ug


solid
Mediator BM31.1144
10.3562%
2.5859 ug


solid
Triton X-100
0.5135%
0.1282 ug





*“Mass per Sensor” is the amount of the component within the capillary; this does not reflect the reagent that is outside of the capillary.






A protocol for the preparation of the preferred embodiment nitrosoaniline reagent is as follows:

  • Step 1: Prepare a buffer solution by adding 1.654 g of dibasic potassium phosphate (trihydrous) to 31.394 g of deionized water. Mix until the potassium phosphate is dissolved.
  • Step 2: To the solution from step 1, add 0.941 g of monobasic potassium phosphate and mix until dissolved.
  • Step 3: To the solution from step 2, add 0.285 g of disodium succinate (hexahydrate) and mix until dissolved.
  • Step 4: Verify that the pH of the solution from step 3 is 6.8+/−0.1. Adjustment should not be necessary.
  • Step 5: Prepare a 4.68 g aliquot of the solution from step 4, and to this add 229 kilounits (by DCIP assay) of the apoenzyme of quinoprotein glucose dehydrogenase (EC#: 1.1.99.17). This is approximately 0.3321 g. Mix, slowly, until the protein is dissolved.
  • Step 6: To the solution from step 5, add 9.3 milligrams of PQQ and mix for no less than 2 hours to allow the PQQ and the apoenzyme to reassociate in order to provide functional enzyme.
  • Step 7: Prepare a solution by dissolving 0.772 g of Trehalose into 1.218 g of deionized water.
  • Step 8: After enzyme reassociation, add the solution from step 7 to the solution from step 6 and continue mixing for not less than 30 minutes.
  • Step 9: To the solution from step 4, add 0.690 g of the mediator precursor BM 31.1144. Mix until dissolved (this solution will have a greenish black coloration).
  • Step 10: Measure the pH of the solution from step 9 and adjust the pH to a target of 7.0+/−0.1. Normally this is accomplished with 1.006 g of 5N potassium hydroxide. Because the specific amount of potassium hydroxide may vary as needed to reach the desired pH, generally deviations in mass from the 1.006 g are made up from an aliquot of 3.767 g deionized water which is also added at this step.
  • Step 11: Prepare a solution of Natrosol 250M (available from Aqualon), by slowly sprinkling 0.350 g over 56.191 g of deionized water which is mixed (using a rotary mixer and blade impeller) at an initial rate of approximately 600 rpm in a vessel of sufficient depth such that the rotor blades are not exposed nor the solution running over. As the Natrosol dissolves, the mixing rate needs to be increased to a speed of 1.2-1.4 krpm. Mix until the Natrosol is completely dissolved. Note that the resulting matrix will be extremely viscous—this is expected.
  • Step 12: To the solution from step 11, gradually add 0.350 g of Sodium-Carboxymethylcellulose 7HF (available from Aqualon). Mix until the polymer is dissolved.
  • Step 13: To the suspension from step 13, gradually add 1.01 g of Polyethylene oxide of 300 kDa mean molecular weight while mixing and continue to mix for not less than 60 minutes before proceeding.
  • Step 14: Gradually add the solution from step 10 to the suspension from step 13 while mixing.
  • Step 15: To the reagent from step 14, add 34.2 mg of Triton X-100 (available from Roche Diagnostics) and continue mixing.
  • Step 16: To the reagent from step 15, add the enzyme solution from step 8. Mix for no less than 30 minutes. At this point the reagent is complete. At room teperature the wet reagent mass is considered acceptable for use for 24 hours.


The measurement results illustrated in FIG. 18 show the correlation coefficient r2 between the DC current response and the glucose level as the Read Time varies for three combinations of temperature and hematocrit. These results demonstrate that a robust DC response should be anticipated for tests as fast as 1 second. However, those skilled in the art will recognise that there are undesirable variations in the sensor accuracy (correlation) due to the interfering effects of temperature and hematocrit levels, suggesting that the combined AC and DC measurement method of the present invention should produce more closely correlated results.


Based upon the encouraging results obtained in FIG. 18, a further test was designed using the excitation signal of FIG. 19 applied to the test strip 1700. The excitation comprised a 10 kHz AC signal applied for approximately 1.8 seconds, a 20 kHz AC signal applied for approximately 0.2 seconds, a 2 Hz AC signal applied for approximately 0.2 seconds, a 1 Hz AC signal applied for approximately 0.2 seconds, and a DC signal applied for approximately 0.5 seconds. The AC signals had an amplitude of 12.7 mV peak, while the DC signal had an amplitude of 550 mV. The Total Test Time was 3.0 seconds.


A covariance study using spiked venous blood samples representing five glucose levels (40, 120, 200, 400 and 600), five hematocrit levels (20, 30, 45, 60 and 70%) and five temperatures (12, 18, 24, 32 and 44° C.) was designed, resulting in 125 separate combinations. As in the previous examples, the relationship between admittance, temperature and hematocrit was examined and plotted (FIG. 20 shows the admittance at 20 kHz versus hematocrit as temperature varies) and it was confirmed that the admittance was linearly related to hematocrit in a temperature dependent manner. An additional discovery, however, was that the phase angle of the AC response was correlated with hematocrit in a temperature independent manner. The phase angle of the 20 kHz AC response is plotted versus hematocrit in FIG. 21. The results for phase angle measured at 10 kHz are similar. The hematocrit of the blood sample may therefore be reliably estimated using only the phase angle information as follows:

Hest=c0+c110kHz−Φ20kHz)+c22kHz−Φ1kHz)  (Equation 11)


For the test strip used in this Example 5, the correlation between phase angle and hematocrit was better at higher frequencies. Because of this, the c2 constant approaches zero and Hest can reliably be estimated using only the 10 kHz and 20 kHz data. Use of lower frequencies, however, allows for slight improvements in the strip-to-strip variability of the Hest function. The present invention therefore may be used to estimate hematocrit using only AC phase angle measurements preferably made at at least one AC frequency, more preferably made at at least two AC frequencies, and most preferably made at at least four AC frequencies.


Because the hematocrit can be determined using only the AC response data, and we know from FIG. 20 that admittance is linearly related to hematocrit and temperature, we can now determine the temperature of the sample under analysis using only the AC response as follows:

Test=b0+b1(Y10kHZ−Y20kHz)+b2(Y2kHz−Y1kHz)+b3Hest  (Equation 12)

where b0, b1, b2 and b3 are constants. It will be appreciated that the estimation of hematocrit and temperature from the AC response data may be made with more or fewer frequency measurements, and at different frequencies than those chosen for this example. The particular frequencies that produce the most robust results will be determined by test strip geometries and dimensions. The present invention therefore may be used to estimate test sample temperature using only AC response measurements preferably made at at least one AC frequency, more preferably made at at least two AC frequencies, and most preferably made at at least four AC frequencies.


Those skilled in the art will recognise that the direct measurement of the temperature of the sample under test (by means of the AC response) is a great improvement over prior art methods for estimating the temperature of the sample. Typically, a thermistor is placed in the test meter near where the test strip is inserted into the meter. Because the thermistor is measuring a temperature remote from the actual sample, it is at best only a rough approximation of the true sample temperature. Furthermore, if the sample temperature is changing (for example due to evaporation), then the thermal inertia of the test meter and even the thermistor itself will prevent the meter-mounted thermistor from accurately reflecting the true temperature of the sample under test. By contrast, the temperature estimation of the present invention is derived from measurements made within the sample under test (i.e. within the reaction zone in which the sample under test reacts with the reagent), thereby eliminating any error introduced by the sample being remote from the measuring location. Additionally, the temperature estimation of the present invention is made using data that was collected very close in time to the glucose measurement data that will be corrected using the temperature estimation, thereby further improving accuracy. This represents a significant improvement over the prior art methods.


As a demonstration of the effectiveness of the method of this Example 5 for correcting for the effects of interferants on the blood glucose measurement, the uncompensated DC current response versus known glucose concentration is plotted in FIG. 22 for all 125 combinations of glucose, temperature and hematocrit (the AC measurements were ignored when plotting this data). As will be appreciated by those skilled in the art, the data exhibits huge variation with respect to hematocrit and temperature.


As previously discussed, the accuracy of the DC glucose response can be greatly improved by combining the estimated hematocrit, temperature and DC response to correct for the hematocrit and temperature interference in the DC response as follows:

PRED=(a0+hct1Hest+hct2Hest2+tau1Test+tau2Test)+(a1DC)(1+hct3Hest+hct4Hest2)(1+tau3Test+tau4Test)  (Equation 13)

The constants in Equation 13 can be determined using regression analysis, as is known in the art. The present invention therefore allows one to estimate hematocrit by using the AC phase angle response (Equation 11). The estimated hematocrit and the measured AC admittance can be used to determine the estimated temperature (Equation 12). Finally, the estimated hematocrit and estimated temperature can be used with the measured DC response to obtain the predicted glucose concentration (Equation 13).


Applying the above methodology to the test data plotted in FIG. 22, we obtain the predicted glucose versus DC current response illustrated in FIG. 23. This data represents 125 covariant samples having hematocrit levels ranging from 20%-70% and temperatures ranging from 12° C.-44° C. Even with these wide variations in interferant levels, the measurement method of the present invention produced an overall r2 correlation of 0.9874 using a 3.0 second Total Test Time.


EXAMPLE 6
Simultaneous AC and DC Measurement Using a 0.397 μl Sample

Using the same test strip 1700 and reagent described above for Example 5, the excitation profile illustrated in FIG. 24 was utilized in order to decrease the Total Test Time. As described above with respect to Example 5, it was determined that the phase angle at 20 kHz and at 10 kHz were most closely correlated with the hematocrit estimation. It was therefore decided to limit the AC portion of the excitation to these two frequencies in Example 6 in order to decrease the Total Test Time. In order to make further reductions in Total Test Time, the 10 kHz AC excitation was applied simultaneously with the DC signal (i.e. an AC signal with a DC offset), the theory being that this combined mode would allow for the collection of simultaneous results for DC current, AC phase and AC admittance, providing the fastest possible results. Therefore, the 20 kHz signal was applied for 0.9 seconds. Thereafter, the 10 kHz and DC signals were applied simultaneously for 1.0 second after a 0.1 second interval.


For this Example 6, 49 spiked venous blood samples representing seven glucose levels and seven hematocrit levels were tested. The correlation coefficient r2 between the DC current and the blood hematocrit was then examined at three DC measurement times: 1.1 seconds, 1.5 seconds and 1.9 seconds after sample application. These correlations are plotted versus hematocrit level in FIG. 25. All of these results are comparable, although the correlation is generally poorest at 1.1 seconds and generally best at 1.5 seconds. The minimum correlation coefficient, however, exceeds 0.99.



FIG. 26 illustrates the phase angle at 20 kHz plotted against hematocrit levels. The correlation between these two sets of data is very good, therefore it was decided that the 10 kHz data was unnecessary for estimating hematocrit. The hematocrit can therefore be estimated solely from the 20 kHz phase angle data as follows:

Hest=c0+c1Φ20kHz  (Equation 14)



FIG. 27 illustrates the DC current response versus glucose level for all measured hematocrit levels as the read time is varied between 1.1 seconds, 1.5 seconds and 1.9 seconds. Not surprisingly, the DC current at 1.1 seconds is greater than the DC current at 1.5 seconds, which is greater than the DC current at 1.9 seconds. Those skilled in the art will recognise that the hematocrit level has a large effect on the DC current, particularly at high glucose concentrations.


As discussed hereinabove, the accuracy of the DC glucose response can be greatly improved by compensating for the interference caused by hematocrit as follows:

PRED=(a0+hct1Hest+hct2Hest2)+(a1DC)(1+hct3Hest+hct4Hest2)  (Equation 15)

Note that Equation 15 does not include temperature compensation terms since temperature variation was not included in the experiment of this Example 6, it can be reasonably inferred from previous examples that a Test term could be included using the 10 kHz and 20 kHz admittance values in combination with the Hest term. Because the hematocrit can be reliably estimated using only the 20 kHz phase angle measurement data, the hematocrit compensated predicted glucose response can be determined using only this phase angle information and the measured DC response. The compensated DC response versus glucose level for only the DC read at 1.1 seconds (representing a 1.1 second Total Test Time) is illustrated in FIG. 28. The data shows an overall r2 correlation of 0.9947 with a 1.1 second Total Test Time.


The same data for the 1.5 second DC read is illustrated in FIG. 29, showing an overall r2 correlation of 0.9932 for a 1.5 second Total Test Time. The same data for the 1.9 second DC read is illustrated in FIG. 30, showing an overall r2 correlation of 0.9922 for a 1.9 second Total Test Time. Surprisingly, the r2 correlation actually decreased slightly with the longer test times. Notwithstanding this, the correlation coefficients for all three compensated data sets—where all 7 hematocrits ranging from 20% through 60% are combined—were in excess of 0.99, demonstrating the applicability of the present invention to yield a blood glucose test as fast as 1.1 seconds, combined with improved accuracy, where the sensor requires less than 0.4 microliters of blood in order to perform the glucose measurement test.


EXAMPLE 7
Use of AC Phase Angle to Detect an Abused Sensor

In order to provide an extra measure of quality control to the analyte measurement process, particularly when the test system is to be used by a non-professional end user, it is desirable to detect sensors (test strips) that have been mis-dosed (double dosed, etc.), that have been previously used, or that have degraded enzymes (from being stored in too humid an environment, being too old, etc.). These conditions are collectively referred to as “abused sensors.” It is desired to devise a test that will abort the analyte measurement process (or at least warn the user that the test results may not be accurate) if an abused sensor is inserted into the test meter.


When performing a blood glucose analysis, the test meter will typically make several successive current measurements as the blood sample continues to react with the reagent chemistry. As is well known in the art, this response current is known as the Cottrell current and it follows a pattern of decay as the reaction progresses. We may define a Cottrell Failsafe Ratio (CFR) as follows:


The Cottrell response of the biosensor in the Confidence system can be given by:










I
cottrell

=



n





F





A


D



Π



C






t
α






(

Equation





16

)









    • where: n=electrons freed per glucose molecule
      • F=Faraday's Constant
      • A=Working electrode surface area
      • t=elapsed time since application of excitation
      • D=diffusion coefficient
      • C=glucose concentration
      • α=a cofactor-dependent constant.


        All of the parameters of this equation will normally be constant for the sensor except the glucose concentration and time. We can therefore define a normalized Cottrell failsafe ratio (NCFR) as:















NCFR
=







k
=
1

m



I
k



m






I
m









=







k
=
1

m





n





F





A


D



Π



C






t
k
α




m



n





F





A


D



Π



C






t
m
α









=







k
=
1

m



t
k
α



m






t
m
α









=


Constant







(

Equation





17

)







As the time terms in this equation are known and constant for a sensor measurement, the ratio always yields a constant for Cottrell curves with identical sample times and intervals. Therefore, the sum of sensor currents divided by the last sensor current should yield a constant independent of glucose concentration. This relationship is used in the preferred embodiment to detect potentially faulty biosensor responses.


A Current Sum Failsafe can be devised that places a check on the Cottrell response of the sensor by summing all of the acquired currents during sensor measurement. When the final current is acquired, it is multiplied by two constants (which may be loaded into the meter at the time of manufacture or, more preferably, supplied to the meter with each lot of sensors, such as by a separate code key or by information coded onto the sensor itself). These constants represent the upper and lower threshold for allowable NCFR values.


The two products of the constants multiplied by the final current are compared to the sum of the biosensor currents. The sum of the currents should fall between the two products, thereby indicating that the ratio above was fulfilled, plus or minus a tolerance.


Therefore, the preferred embodiment performs the following check when there is a single DC block:











(

I
m

)



(

C
l

)







k
=
1

m



I
k





(

I
m

)



(

C
u

)






(

Equation





18

)









    • where Cu=upper constant from the Code Key
      • Cl=lower constant from the Code Key
      • Im=final biosensor current





Because some embodiments may contain two DC blocks in the measurement sequence, a Modified Cottrell Failsafe Ratio (MCFR) can be formulated as:









MCFR
=




w
1



NCFR
1


+


w
2



NCFR
2





w
1

+

w
2







(

Equation





19

)









    • where w1, w2=weighting constants (e.g. from the Code Key)
      • NCFR1, NCFR2=the Normalized Cottrell Failsafe Ratios for DC blocks 1 and 2 respectively.


        Therefore, the preferred embodiment performs the following check when there are two DC blocks:














(


w
1

+

w
2


)



I

m
1




I

m
2




C
L




(



w
1



I

m
2







k
=
1


m
1




I
k



+


w
2



I

m
1







k
=
1


m
2




I
k




)




(


w
1

+

w
2


)



I

m
1




I

m
2




C
u






(

Equation





20

)









    • where Cu=upper constant from the Code Key
      • CL=lower constant from the Code Key
      • Im1, Im2=final biosensor current in DC blocks 1 and 2





The NCFR (and MCFR) is correlated with hematocrit. As demonstrated hereinabove in Example 3, the AC phase angle is also correlated with hematocrit. It follows then, that the AC phase angle and the NCFR are correlated with one another. This relationship holds only if the sensor is unabused. The correlation degrades for an abused sensor.


It is therefore possible to design an equation to analyze the measured phase angle data to produce a failsafe calculation that will indicate if an abused sensor is being used. In the preferred embodiment, it was chosen to use the difference between the phase angles measured at two separate frequencies in order to make the test more robust to errors caused by parasitic resistance, etc. Applying the arctangent function to drive the two populations to different asymptotes yields the following failsafe equation:

FAILSAFE=1000×arc tan [NCFR/(fs0+fs110kHz−Φ20kHz))]  (Equation 21)

where 1000=scaling factor


NCFR=Cottrell Failsafe Ratio

    • fs0=linear regression intercept
    • fs1=linear regression slope
    • Φ10kHz=phase angle at 10 kHz
    • Φ20kHz=phase angle at 20 kHz


Using Equation 21, the intercept term fs0 can be chosen such that a FAILSAFE value below zero indicates an abused sensor, while a FAILSAFE value above zero indicates a non-abused sensor. Those skilled in the art will recognise that the opposite result could be obtained by choosing a different intercept.


Use of Dose Sufficiency Electrodes


As described hereinabove, it has been recognised that accurate sample measurement requires adequate coverage of the measurement electrodes by the sample. Various methods have been used to detect the insufficiency of the sample volume in the prior art. For example, the Accu-Chek® Advantage® glucose test meter sold by Roche Diagnostics Corporation of Indianapolis, Ind. warned the user of the possible inadequacy of the sample volume if non-Cotrellian current decay was detected by the single pair of measurement electrodes. Users were prompted to re-dose the test strip within a specified time allotment.


The possibility of insufficient sample size has been heightened in recent years due to the use of capillary fill devices used in conjunction with blood lancing devices designed to minimize pain through the requirement of only extremely small sample volumes. If an inadequate amount of sample is drawn into the capillary fill space, then there is a possibility that the measurement electrodes will not be adequately covered and the measurement accuracy will be compromised. In order to overcome the problems associated with insufficient samples, various prior art solutions have been proposed, such as placing an additional electrode downstream from the measurement electrodes; or a single counter electrode having a sub-element downstream and major element upstream of a working electrode; or an indicator electrode arranged both upstream and downstream from a measurement electrode (allowing one to follow the flow progression of the sample across the working and counter electrodes or the arrival of the sample at a distance downstream). The problem associated with each of these solutions is that they each incorporate one or the other electrode of the measurement pair in communication with either the upstream or the downstream indicator electrodes to assess the presence of a sufficient volume of sample to avoid biased test results.


Despite these prior art design solutions, failure modes persist wherein the devices remain prone to misinterpretation of sample sufficiency. The present inventors have determined that such erroneous conclusions are related primarily to the distances between a downstream member of a measurement electrode pair (co-planar or opposing geometries) and the dose detection electrode, in combination with the diversity of non-uniform flow fronts. A sample traversing the capillary fill space having an aberrant (uneven) flow front can close the circuit between a measurement electrode and an indicator electrode and erroneously advise the system that sufficient sample is present to avoid a biased measurement result.


Many factors employed in the composition and/or fabrication of the test strip capillary fill spaces influence such irregular flow front behavior. These factors include:

    • disparities between surface energies of different walls forming the capillary fill space.
    • contamination of materials or finished goods in the test strip manufacturing facility.
    • unintentional introduction of a contaminant from a single component making up the walls of the capillary fill space (an example being a release agent (typically silicon) that is common to manufacturing processes wherein release liners are used).
    • hydrophobic properties of adhesives (or contaminated adhesives) used in the lamination processes.
    • disparate surface roughnesses on the walls of the capillary fill space.
    • dimensional aspect ratios.
    • contaminated mesh materials within the capillary fill space.
    • non-homogeneous application of surfactants onto mesh materials within the capillary fill space.


Another problem with prior art dose sufficiency methodologies determined by the present inventors relates to the use of one or the other of the available measurement electrodes in electrical communication with an upstream or downstream dose detection electrode. In such arrangements, the stoichiometry of the measurement zone (the area above or between the measurement electrodes) is perturbed during the dose detect/dose sufficiency test cycle prior to making a measurement of the analyte of interest residing in the measurement zone. As sample matrices vary radically in make-up, the fill properties of these samples also vary, resulting in timing differences between sample types. Such erratic timing routines act as an additional source of imprecision and expanded total system error metrics.


Trying to solve one or more of these obstacles typically can lead to 1) more complex manufacturing processes (additional process steps each bringing an additional propensity for contamination); 2) additional raw material quality control procedures; 3) more costly raw materials such as laminate composites having mixtures of hydrophobic and hydrophyllic resins and negatively impacting manufacturing costs; and 4) labor-intensive surfactant coatings of meshes and or capillary walls.


EXAMPLE 8
Determination of Fluid Flow Front Behavior in a Capillary Fill Space

In order to design an electrode system that will adequately indicate dose sufficiency in a test strip employing a capillary fill space, an experiment was performed to examine the flow front shape at the leading edge of the sample as it progresses through the capillary fill space. Test fixtures comprising two sheets of clear polycarbonate sheets joined together with double-sided adhesive tape were used, where the capillary fill space was formed by cutting a channel in the double-sided tape. Use of the polycarbonate upper and lower sheets allowed the flow fronts of the sample to be videotaped as it flowed through the capillary fill space.


Specifically, the test devices were laminated using laser cut 1 mm thick Lexan® polycarbonate sheets (obtained from Cadillac Plastics Ltd., Westlea, Swindon SN5 7EX, United Kingdom). The top and bottom polycarbonate sheets were coupled together using double-sided adhesive tapes (#200MP High Performance acrylic adhesive obtained from 3M Corporation, St. Paul, Minn.). The capillary channels were defined by laser cutting the required width openings into the double-sided tape. Tape thicknesses of 0.05 μm, 0.125 μm, and 0.225 μm were used to give the required channel heights. The dimensions of the capillary spaces of the test devices are tabulated in FIG. 31.


The top and bottom polycarbonate parts were laminated together with the laser cut adhesive tapes using a custom-built jig to ensure reproducible fabrication. For each test device, a fluid receptor region defineing the entrance to the capillary channel was formed by an opening pre-cut into the upper polycarbonate sheet and adhesive tape components. For each of the three channel heights, channel widths of 0.5 mm, 1.00 mm, 1.5 mm, 2.00 mm, 3.00 mm, and 4.00 mm were fabricated. The capillary channel length for all devices was 50 mm. Twenty-eight (28) of each of the eighteen (18) device types were constructed. The assembled devices were plasma treated by Weidman Plastics Technology of Dortmund, Germany. The following plasma treatment conditions were used:

  • Processor: Microwave plasma processor 400
  • Microwave Power: 600 W
  • Gas: O2
  • Pressure: 0.39 miilibar
  • Gas Flow: 150 ml/min
  • Time: 10 minutes
  • Surface Energy Pre-Treatment: <38 mN/m
  • Surface Energy Post-Treatment: 72 mN/m


    The plasma-treated devices were stored at 2-8° C. when not in use. The devices were allowed to equilibrate to room temperature for one (1) hour minimum before use.


Each of the test devices was dosed with a fixed volume of venous blood having a hematocrit value of 45%. Flow and flow front behavior was captured on videotape for later analysis. It was determined that the relative dimensions of the capillary fill channel determined the flow front behavior. Devices to the left of the dashed line in FIG. 31 (devices A2, A4, B2, B4, B5, C2, C4, and C5) resulted in a convex flow front behavior, while devices to the right of the dashed line (devices A6, A8, A11, B6, B8, B11, C6, C8, and C11) displayed a concave flow front behavior. Both the convex and concave flow front behaviors are schematically illustrated in FIG. 31. This data shows that the aspect ratio between the height and the width of the capillary fill space is a determining factor in whether the sample flow front is convex or concave.


Use of Dose Sufficiency Electrodes Cont'd


The problems associated with a concave flow front in a capillary fill space are illustrated in FIGS. 32A-C. In each of the figures, the test strip includes a working electrode 3200, a reference electrode 3202, and a downstream dose sufficiency electrode 3204 that works in conjunction with one of the measurement electrodes 3200 or 3202. In addition to the measurement zone stoichiometry problems associated with the use of the dose sufficiency electrode 3204 in conjunction with one of the measurement electrodes discussed above, FIGS. 32A-C illustrate that a sample flow front exhibiting a concave shape can also cause biased measurement results. In each drawing, the direction of sample travel is shown by the arrow. In FIG. 32A, the portions of the sample adjacent to the capillary walls have reached the dose sufficiency electrode 3204, thereby electrically completing the DC circuit between this electrode and one of the measurement electrode pair that is being monitored by the test meter in order to make the dose sufficiency determination. Although the test meter will conclude that there is sufficient sample to make a measurement at this time, the sample clearly has barely reached the reference electrode 3202 and any measurement results obtained at this time will be highly biased.


Similarly, FIG. 32B illustrates the situation where the dose sufficiency electrode 3204 has been contacted (indicating that the measurement should be started), but the reference electrode 3202 is only partially covered by the sample. Although the sample has reached the reference electrode 3202 at this time, the reference electrode 3202 is not completely covered by sample, therefore any measurement results obtained at this time will be partially biased. Both of the situations illustrated in FIGS. 32A-B will therefore indicate a false positive for dose sufficiency, thereby biasing the measurement test results. Only in the situation illustrated in FIG. 32C, where the reference electrode 3202 is completely covered by the sample, will the measurement results be unbiased due to the extent of capillary fill in the measurement zone.


The present invention solves the stoichiometric problems associated with the prior art designs pairing the dose sufficiency electrode with one of the measurement electrodes when making the dose sufficiency determination. As shown in FIG. 33, the present invention comprehends a test strip having an independent pair of dose sufficiency electrodes positioned downstream from the measurement electrodes. The test strip is indicated generally as 3300, and includes a measurement electrode pair consisting of a counter electrode 3302 and a working electrode 3304. The electrodes may be formed upon any suitable substrate in a multilayer test strip configuration as is known in the art and described hereinabove. The multilayer configuration of the test strip provides for the formation of a capillary fill space 3306, also as known in the art. Within the capillary fill space 3306, and downstream (relative to the direction of sample flow) from the measurement electrodes 3302 and 3304 are formed a dose sufficiency working electrode 3308 and a dose sufficiency counter electrode 3310, together forming a dose sufficiency electrode pair.


When the test strip 3300 is inserted into the test meter, the test meter will continuously check for a conduction path between the dose sufficiency electrodes 3308 and 3310 in order to determine when the sample has migrated to this region of the capillary fill space. Once the sample has reached this level, the test meter may be programmed to conclude that the measurement electrodes are covered with sample and the sample measurement sequence may be begun. It will be appreciated that, unlike as required with prior art designs, no voltage or current need be applied to either of the measurement electrodes 3302 and 3304 during the dose sufficiency test using the test strip design of FIG. 33. Thus the stoichiometry of the measurement zone is not perturbed during the dose sufficiency test cycle prior to making a measurement of the analyte of interest residing in the measurement zone. This represents a significant improvement over the dose sufficiency test methodologies of the prior art.


The test strip 3300 is also desirable for judging dose sufficiency when the capillary fill space is designed to produce samples that exhibit a convex flow front while filling the capillary fill space 3306, as illustrated in FIG. 34A. As can be seen, the measurement zone above the measurement electrodes 3302 and 3304 is covered with sample when the convex flow front reaches the dose sufficiency electrode pair 3308,3310. The test strip design 3300 may not, however, produce ideal results if the capillary fill space 3306 allows the sample to exhibit a concave flow front while filling, as shown in FIG. 34B. As can be seen, the peripheral edges of the concave flow front reach the dose sufficiency electrodes 3308,3310 before the measurement zone has been completely covered with sample. With DC or low frequency excitation (discussed in greater detail hereinbelow), the dose sufficiency electrodes 3308,3310 will indicate sample sufficiency as soon as they are both touched by the edges of the flow front. Therefore, the dose sufficiency electrode design shown in the test strip of FIG. 33 works best when the sample filling the capillary space 3306 exhibits a convex flow front. Furthermore, multiple pairs of dose sufficiency electrodes may be provided, each at a different distance from the measurement zone, such that the capability to assess the extent of capillary space 3306 filling may be provided by examining which of the multiple pairs of dose sufficiency electrodes has been bridged by the sample.


It will be appreciated that the dose sufficiency electrodes 3308,3310 have their longest axis within the capillary fill space 3306 oriented perpendicular to the longitudinal axis of the capillary fill space 3306. Such electrodes are referred to herein as “perpendicular dose sufficiency electrodes.” An alternative dose sufficiency electrode arrangement is illustrated in FIGS. 35A-B. As shown in FIG. 35A, the present invention also comprehends a test strip having an independent pair of dose sufficiency electrodes positioned downstream from the measurement electrodes, where the dose sufficiency electrodes have their longest axis within the capillary fill space oriented parallel to the longitudinal axis of the capillary fill space. Such electrodes are referred to herein as “parallel dose sufficiency electrodes.” The test strip in FIG. 35 is indicated generally as 3500, and includes a measurement electrode pair consisting of a counter electrode 3502 and a working electrode 3504. The electrodes may be formed upon any suitable substrate in a multilayer test strip configuration as is known in the art and described hereinabove. The multilayer configuration of the test strip provides for the formation of a capillary fill space 3506, also as known in the art. Within the capillary fill space 3506, and downstream (relative to the direction of sample flow) from the measurement electrodes 3502 and 3504 are formed a dose sufficiency working electrode 3508 and a dose sufficiency counter electrode 3510, together forming a parallel dose sufficiency electrode pair.


When the test strip 3500 is inserted into the test meter, the test meter will continuously check for a conduction path between the dose sufficiency electrodes 3508 and 3510 in order to determine when the sample has migrated to this region of the capillary fill space. Once the sample has reached this level, the test meter may be programmed to conclude that the measurement electrodes are covered with sample and the sample measurement sequence may be begun. It will be appreciated that, as with the test strip 3300 (and unlike as required with prior art designs), no voltage or current need be applied to either of the measurement electrodes 3502 and 3504 during the dose sufficiency test using the test strip design of FIG. 35. Thus the stoichiometry of the measurement zone is not perturbed during the dose sufficiency test cycle prior to making a measurement of the analyte of interest residing in the measurement zone. This represents a significant improvement over the dose sufficiency test methodologies of the prior art.


A further improved operation is realized with the parallel dose sufficiency electrodes of the test strip 3500 when the dose sufficiency electrodes are energized with a relatively high frequency AC excitation signal. When a relatively high frequency AC signal is used as the dose sufficiency excitation signal, the dose sufficiency electrodes 3508,3510 display significant edge effects, wherein the excitation signal traverses the gap between the electrodes only when the electrode edges along the gap are covered with the sample fluid. The test strip 3500 is illustrated in enlarged size in FIG. 36 (with only the electrode portions lying within the capillary fill space 3506 and the strip-to-meter electrode contact pads visible). When one of the pair of dose sufficiency electrodes 3508,3510 is excited with an AC signal, the majority of the signal travels from one electrode edge to the edge of the other electrode (when the edges are covered with sample), rather than from the upper flat surface of one electrode to the upper flat surface of the other electrode. These paths of edge-to-edge electrical communication are illustrated schematically as the electric field lines 3602 in FIG. 36.


Higher AC frequencies produce the best edge-only sensitivity from the dose sufficiency electrodes. In the preferred embodiment, a 9 mVrms (+/−12.7 mV peak-to-peak) excitation signal of 10 kHz is used to excite one of the dose sufficiency electrodes. The gap width GW between the edges of the dose sufficiency electrodes 3508,3510 is preferably 100-300 μm, more preferably 150-260 μm, and most preferably 255 μm. A smaller gap width GW increases the amount of signal transmitted between dose sufficiency electrodes whose edges are at least partially covered by sample; however, the capacitance of the signal transmission path increases with decreasing gap width GW.


An advantage of the parallel dose sufficiency electrode design of FIGS. 35 and 36, when used with AC excitation, is that there is substantially no electrical communication between the electrodes until the sample covers at least a portion of the edges along the electrode gap. Therefore, a sample exhibiting the concave flow front of FIG. 35A, where the illustrated sample is touching both of the dose sufficiency electrodes 3508,3510 but is not touching the electrode edges along the gap, will not produce any significant electrical communication between the dose sufficiency electrodes. The test meter will therefore not form a conclusion of dose sufficiency until the sample has actually bridged the dose sufficiency electrodes between the electrode edges along the gap. This will happen only after the rear-most portion of the concave flow front has reached the dose sufficiency electrodes 3508,3510, at which point the sample has completely covered the measurement zone over the measurement electrodes. As can be seen in FIG. 35B, convex sample flow fronts will activate the dose sufficiency electrodes 3508,3510 as soon as the flow front reaches the dose sufficiency electrodes (at which point the sample has completely covered the measurement zone over the measurement electrodes).


Another advantage to the parallel dose sufficiency electrodes illustrated in FIGS. 35 and 36 is that the amount of signal transmitted between the electrodes is proportional to the amount of the gap edges that is covered by the sample. By employing an appropriate threshold value in the test meter, a conclusion of dose sufficiency can therefore be withheld until the sample has covered a predetermined portion of the dose sufficiency electrode gap edge. Furthermore, an analysis of the dose sufficiency signal will allow the test meter to record the percentage of fill of the capillary fill space for each measurement made by the test meter, if desired.


While the electrode geometry itself demonstrates an advantage over previous embodiments in terms of detecting an adequate sample, particularly in the case of a convex flow front, it was found that further improvement is achieved in the use of AC responses over DC responses for sample detection. DC responses have the problems of being sensitive to variations in, for example, temperature, hematocrit and the analyte (glucose for example). AC responses at sufficiently high frequency can be made robust to the variation in the analyte concentration. Further, the AC response generated at sufficiently high frequencies in such capillary fill devices is primarily limited by the amount of the parallel gap between the electrode edges which is filled by the sample. Thus, for a convex flow front, little or no AC response (in this case admittance) is perceived until the trough of the flow front actually intrudes within the parallel edges of the sample sufficiency electrodes. Further, by means of threshold calibration, the sensor can be made more or less sensitive as is deemed advantageous, with a higher threshold for admittance requiring more of the parallel gap to be filled before test initiation.


A further limitation of existing devices is the inability of the electrode geometry to discern the amount of time needed to fill the capillary space of the sensor. This limitation is caused by having interdependence of the dose sufficiency electrode and the measurement electrodes. This is a further advantage of independent dose sufficiency electrodes. In the preferred embodiment a signal is first applied across the measurement electrodes prior to dosing. When a response is observed, the potential is immediately switched off and a second signal is applied across the dose sufficiency electrodes during which time the system both looks for a response to the signal (indicating electrode coverage) and marks the duration between the first event (when a response is observed at the measurement electrodes) and the second event (when a response is observed at the dose sufficiency electrodes). In cases where very long intervals may lead to erroneous results, it is possible to establish a threshold within which acceptable results may be obtained and outside of which a failsafe is triggered, preventing a response or at a minimum warning the user of potential inaccuracy. The amount of time lag between dosing and detection of a sufficient sample that is considered allowable is dependent upon the particular sensor design and chemistry. Alternatively, an independent pair of dose detection electrodes (not shown) may be added upstream from the measurement electrodes in order to detect when the sample is first applied to the sensor.


While a DC signal could be used for detection in either or both of the above events, the preferred embodiment uses an AC signal at sufficiently high frequency to avoid unnecessarily perturbing the electrochemical response at the measurement electrodes and to provide robust detection with respect to flow front irregularities.


All publications, prior applications, and other documents cited herein are hereby incorporated by reference in their entirety as if each had been individually incorporated by reference and fully set forth.


While the invention has been illustrated and described in detail in the drawings and foregoing description, the description is to be considered as illustrative and not restrictive in character. Only the preferred embodiment, and certain other embodiments deemed helpful in further explaining how to make or use the preferred embodiment, have been shown. All changes and modifications that come within the spirit of the invention are desired to be protected.

Claims
  • 1. A method of determining dosage fill level in a test strip for performing a measurement on a biological fluid comprising: providing a biological fluid test strip, comprising: a capillary fill chamber extending a length along the test strip from an opening to a terminus, andat least two pairs of dose sufficiency electrodes in operative communication with the chamber, each of the pairs of dose sufficiency electrodes positioned to define a respective gap between one another;dosing the test strip with a biological fluid effective to cause the biological fluid to begin to fill the chamber;applying a test signal to at least one electrode of each of the dose sufficiency electrode pairs;measuring a respective response to the test signal at each of the dose sufficiency electrode pairs;determining the dosage fill level based upon the responses.
  • 2. The method of claim 1, wherein the test signal is an AC signal.
  • 3. The method of claim 1, wherein the response comprises magnitude and phase angle information.
  • 4. The method of claim 1, wherein the response comprises an admittance value.
  • 5. A method of determining a fill level of a biological fluid in a test strip for performing a measurement on the fluid comprising: providing a test strip, comprising: a fluid flow intake opening;a fluid flow terminus;at least two measurement electrodes disposed on the test strip between the opening to the terminus; andat least two pairs of dose sufficiency electrodes positioned between the measurement electrodes and the terminus, each of the pairs of dose sufficiency electrodes defining a respective gap between one another;introducing the biological fluid to the opening effective to cause the fluid to flow toward the terminus;applying a test signal to at least one electrode of each of the dose sufficiency electrode pairs; andmeasuring a respective response to the test signal at each of the dose sufficiency electrode pairs;determining the fill level of the biological fluid based upon the responses.
  • 6. The method of claim 5, wherein the test signal is an AC signal.
  • 7. The method of claim 5, wherein the response comprises magnitude and phase angle information.
  • 8. The method of claim 5, wherein the response comprises an admittance value.
  • 9. A method of determining dosage fill rate in a biological fluid test strip comprising: providing a biological fluid test strip, comprising: a capillary fill chamber extending a length along the test strip from an opening to a terminus,and at least two dose sufficiency electrodes in operative communication with the chamber, the dose sufficiency electrodes positioned to define a gap between one another;dosing the test strip with a biological fluid effective to cause the biological fluid to begin to fill the chamber;applying a test signal having an AC component to at least one of the dose sufficiency electrodes;measuring a first response to the test signal at a first time;measuring a second response to the test signal at a second time; anddetermining a rate at which the biological fluid fills the chamber based at least in part upon the first response and the second response.
  • 10. The method of claim 9, wherein the test signal is an AC signal.
  • 11. The method of claim 9, wherein the first and second responses comprise magnitude and phase angle information.
  • 12. The method of claim 9, wherein the first and second responses comprise an admittance value.
  • 13. The method of claim 9 further comprising recording the first response and the second response.
  • 14. A method of determining dosage fill rate in a biological fluid test strip comprising: providing a biological fluid test strip, comprising: a fluid flow intake opening;a fluid flow terminus;a measurement zone positioned between the opening and the terminus,and at least two dose sufficiency electrodes positioned between the measurement zone and the terminus, the dose sufficiency electrodes positioned to define a gap between one another;dosing the test strip with a biological fluid effective to cause the biological fluid to begin to flow from the opening toward the terminus;applying a test signal having an AC component to at least one of the dose sufficiency electrodes;measuring a first response to the test signal at a first time;measuring a second response to the test signal at a second time; anddetermining a rate at which the biological fluid fills the chamber based at least in part upon the first response and the second response.
  • 15. The method of claim 14, further comprising: a capillary fill chamber extending a length along the test strip from the opening to the terminus.
  • 16. The method of claim 15, wherein the test signal is an AC signal.
  • 17. The method of claim 15, wherein the first and second responses comprise magnitude and phase angle information.
  • 18. The method of claim 15, wherein the first and second responses comprise an admittance value.
  • 19. The method of claim 15 further comprising recording the first response and the second response.
CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the benefit of U.S. Provisional Application No. 60/480,298, filed Jun. 20, 2003. The contents of this application are hereby incorporated by reference herein.

US Referenced Citations (593)
Number Name Date Kind
3526480 Findl et al. Sep 1970 A
3551295 Dyer Dec 1970 A
3621381 Eckfeldt Nov 1971 A
3715192 Wenz et al. Feb 1973 A
3720093 Gill Mar 1973 A
3763422 MacPhee et al. Oct 1973 A
3770607 Williams Nov 1973 A
3776832 Oswin et al. Dec 1973 A
3838033 Mindt et al. Sep 1974 A
3902970 Levin Sep 1975 A
3919627 Allen Nov 1975 A
3925183 Oswin et al. Dec 1975 A
3937615 Clack et al. Feb 1976 A
3980437 Kishimoto et al. Sep 1976 A
4005002 Racine et al. Jan 1977 A
4008448 Muggli Feb 1977 A
4040908 Clark, Jr. Aug 1977 A
4053381 Hamblen et al. Oct 1977 A
4065263 Woodbridge, III Dec 1977 A
4086631 Vick Apr 1978 A
4123701 Josefsen et al. Oct 1978 A
4127448 Schick et al. Nov 1978 A
4184936 Paul et al. Jan 1980 A
4214968 Battaglia et al. Jul 1980 A
4217196 Huch Aug 1980 A
4224125 Nakamura et al. Sep 1980 A
4225410 Pace Sep 1980 A
4230537 Delente et al. Oct 1980 A
4233029 Columbus Nov 1980 A
4260680 Muramatsu et al. Apr 1981 A
4263343 Kim Apr 1981 A
4265250 Parker May 1981 A
4273134 Ricciardelli Jun 1981 A
4273639 Gottermeier Jun 1981 A
4297569 Flies Oct 1981 A
4301412 Hill et al. Nov 1981 A
4303887 Hill et al. Dec 1981 A
4323536 Columbus Apr 1982 A
4329642 Luthi et al. May 1982 A
4366033 Richter et al. Dec 1982 A
4407290 Wilber Oct 1983 A
4407959 Tsuji et al. Oct 1983 A
4413407 Columbus Nov 1983 A
4413628 Tamulis Nov 1983 A
4420564 Tsuji et al. Dec 1983 A
4431004 Bessman et al. Feb 1984 A
4436094 Cerami Mar 1984 A
4440175 Wilkins Apr 1984 A
4476149 Poppe et al. Oct 1984 A
4477314 Richter et al. Oct 1984 A
4477575 Vogel et al. Oct 1984 A
4499423 Matthiessen Feb 1985 A
4510383 Ruppender Apr 1985 A
4517291 Seago May 1985 A
4545382 Higgins et al. Oct 1985 A
4547735 Kiesewetter et al. Oct 1985 A
4552458 Lowne Nov 1985 A
4571292 Liu et al. Feb 1986 A
4578716 van Rijckevorsel et al. Mar 1986 A
4592893 Poppe et al. Jun 1986 A
4628193 Blum Dec 1986 A
4642295 Baker Feb 1987 A
4648665 Davis et al. Mar 1987 A
4652830 Brown Mar 1987 A
4654197 Lilja et al. Mar 1987 A
4671288 Gough Jun 1987 A
4676653 Strohmeier et al. Jun 1987 A
4679562 Luksha Jul 1987 A
4682602 Prohaska Jul 1987 A
4686479 Young et al. Aug 1987 A
4703017 Campbell et al. Oct 1987 A
4703756 Gough et al. Nov 1987 A
4711245 Higgins et al. Dec 1987 A
4713347 Mitchell et al. Dec 1987 A
4714874 Morris et al. Dec 1987 A
4731726 Allen, III Mar 1988 A
4734184 Burleigh et al. Mar 1988 A
4750496 Reinhart et al. Jun 1988 A
4759828 Young et al. Jul 1988 A
4789804 Karube et al. Dec 1988 A
4795542 Ross et al. Jan 1989 A
4797256 Watlington, IV Jan 1989 A
4805624 Yao et al. Feb 1989 A
4806311 Greenquist Feb 1989 A
4806312 Greenquist Feb 1989 A
4810203 Komatsu Mar 1989 A
4816224 Vogel et al. Mar 1989 A
4820399 Senda et al. Apr 1989 A
4820636 Hill et al. Apr 1989 A
4832814 Root May 1989 A
4834234 Sacherer et al. May 1989 A
4849330 Humphries et al. Jul 1989 A
4865873 Cole, Jr. et al. Sep 1989 A
4877580 Aronowitz et al. Oct 1989 A
4897162 Lewandowski et al. Jan 1990 A
4897173 Nankai et al. Jan 1990 A
4919770 Preidel et al. Apr 1990 A
4927516 Yamaguchi et al. May 1990 A
4929426 Bodai et al. May 1990 A
4935105 Churchouse Jun 1990 A
4935106 Liston et al. Jun 1990 A
4935346 Phillips et al. Jun 1990 A
4938860 Wogoman Jul 1990 A
4940945 Littlejohn et al. Jul 1990 A
4954087 Lauks et al. Sep 1990 A
4956275 Zuk et al. Sep 1990 A
4963814 Parks Oct 1990 A
4970145 Bennetto et al. Nov 1990 A
4975647 Downer et al. Dec 1990 A
4976724 Nieto et al. Dec 1990 A
4999582 Parks et al. Mar 1991 A
4999632 Parks Mar 1991 A
5018164 Brewer et al. May 1991 A
5019974 Beckers May 1991 A
5035862 Dietze et al. Jul 1991 A
5039618 Stone Aug 1991 A
5049487 Phillips et al. Sep 1991 A
5053199 Keiser et al. Oct 1991 A
5059394 Phillips et al. Oct 1991 A
5066372 Weetall Nov 1991 A
5075077 Durley, III et al. Dec 1991 A
5096669 Lauks et al. Mar 1992 A
5108564 Szuminsky et al. Apr 1992 A
5112455 Cozzette et al. May 1992 A
5112758 Fellman et al. May 1992 A
5118183 Cargill et al. Jun 1992 A
5120420 Nankai et al. Jun 1992 A
5122244 Hoenes et al. Jun 1992 A
5126952 Kildal-Brandt et al. Jun 1992 A
5128015 Szuminsky et al. Jul 1992 A
5141850 Cole et al. Aug 1992 A
5141868 Shanks et al. Aug 1992 A
5143694 Schafer et al. Sep 1992 A
5179005 Phillips et al. Jan 1993 A
5179288 Miffitt et al. Jan 1993 A
5182707 Cooper et al. Jan 1993 A
5187100 Matzinger et al. Feb 1993 A
5192415 Yoshioka et al. Mar 1993 A
5220920 Gharib Jun 1993 A
5232516 Hed Aug 1993 A
5232667 Hieb et al. Aug 1993 A
5232668 Grant et al. Aug 1993 A
5234813 McGeehan et al. Aug 1993 A
5243516 White Sep 1993 A
5246858 Arbuckle et al. Sep 1993 A
5250439 Musho et al. Oct 1993 A
5261411 Hughes Nov 1993 A
5264103 Yoshioka et al. Nov 1993 A
5266179 Nankai et al. Nov 1993 A
5269891 Colin Dec 1993 A
5279294 Anderson et al. Jan 1994 A
5281395 Markart et al. Jan 1994 A
5284770 Adrian et al. Feb 1994 A
5286362 Hoenes et al. Feb 1994 A
5288636 Pollmann et al. Feb 1994 A
5296192 Carroll et al. Mar 1994 A
5304468 Phillips et al. Apr 1994 A
5306623 Kiser et al. Apr 1994 A
5311426 Donohue et al. May 1994 A
5312762 Guiseppi-Elie May 1994 A
5344754 Zweig Sep 1994 A
5352351 White et al. Oct 1994 A
5353351 Bartoli et al. Oct 1994 A
5366609 White et al. Nov 1994 A
5371687 Holmes, II et al. Dec 1994 A
5376254 Fisher Dec 1994 A
5379214 Arbuckle et al. Jan 1995 A
5385846 Kuhn et al. Jan 1995 A
5389215 Horiuchi et al. Feb 1995 A
5395504 Saurer et al. Mar 1995 A
5405511 Brown et al. Apr 1995 A
5411647 Johnson et al. May 1995 A
5413690 Kost et al. May 1995 A
5413764 Haar May 1995 A
5418142 Kiser et al. May 1995 A
5421189 Dussault Jun 1995 A
5424035 Hones et al. Jun 1995 A
5426032 Phillips et al. Jun 1995 A
5437772 De Castro et al. Aug 1995 A
5437999 Diebold et al. Aug 1995 A
5438271 White et al. Aug 1995 A
5439826 Kontorovich Aug 1995 A
5445967 Deuter Aug 1995 A
5447837 Urnovitz Sep 1995 A
5453360 Yu Sep 1995 A
5469846 Khan Nov 1995 A
5470533 Shindo et al. Nov 1995 A
5477326 Dosmann Dec 1995 A
5489414 Schreiber et al. Feb 1996 A
5494638 Gullick Feb 1996 A
5500350 Baker et al. Mar 1996 A
5504011 Gavin et al. Apr 1996 A
5508171 Walling et al. Apr 1996 A
5508200 Tiffany et al. Apr 1996 A
5508203 Fuller et al. Apr 1996 A
5509410 Hill et al. Apr 1996 A
5515170 Matzinger May 1996 A
5515847 Braig et al. May 1996 A
5526111 Collins et al. Jun 1996 A
5526120 Jina et al. Jun 1996 A
5526808 Kaminsky Jun 1996 A
5532128 Eggers et al. Jul 1996 A
5552116 Yokota et al. Sep 1996 A
5554531 Zweig Sep 1996 A
5556789 Goerlach-Graw et al. Sep 1996 A
5563031 Yu Oct 1996 A
5563042 Phillips et al. Oct 1996 A
5569591 Kell et al. Oct 1996 A
5569608 Sommer Oct 1996 A
5572159 McFarland Nov 1996 A
5575895 Ikeda et al. Nov 1996 A
5576073 Kickelhain Nov 1996 A
5580794 Allen Dec 1996 A
5582697 Ikeda et al. Dec 1996 A
5593390 Castellano et al. Jan 1997 A
5593739 Kickelhain Jan 1997 A
5594906 Holmes, II et al. Jan 1997 A
5597532 Connolly Jan 1997 A
5604110 Baker et al. Feb 1997 A
5605662 Heller et al. Feb 1997 A
5605837 Karimi et al. Feb 1997 A
5611900 Worden et al. Mar 1997 A
5620579 Genshaw et al. Apr 1997 A
5620863 Tomasco et al. Apr 1997 A
5628890 Carter et al. May 1997 A
5630986 Charlton et al. May 1997 A
5635362 Levine et al. Jun 1997 A
5635364 Clark et al. Jun 1997 A
5639671 Bogart et al. Jun 1997 A
5642734 Ruben et al. Jul 1997 A
5645798 Schreiber et al. Jul 1997 A
5650061 Kuhr et al. Jul 1997 A
5650062 Ikeda et al. Jul 1997 A
5653863 Genshaw et al. Aug 1997 A
5654178 Fitzpatrick et al. Aug 1997 A
5656502 MacKay et al. Aug 1997 A
5658443 Yamamoto et al. Aug 1997 A
5658802 Hayes et al. Aug 1997 A
5665215 Bussmann et al. Sep 1997 A
5670031 Hintsche et al. Sep 1997 A
5682884 Hill et al. Nov 1997 A
5686659 Neel et al. Nov 1997 A
5691486 Behringer et al. Nov 1997 A
5691633 Liu et al. Nov 1997 A
5695623 Michel et al. Dec 1997 A
5698083 Glass Dec 1997 A
5700695 Yassinzadeh et al. Dec 1997 A
5708247 McAleer et al. Jan 1998 A
5710622 Neel et al. Jan 1998 A
5719667 Miers Feb 1998 A
5720862 Hamamoto et al. Feb 1998 A
5723284 Ye Mar 1998 A
5727548 Hill et al. Mar 1998 A
5728074 Castellano et al. Mar 1998 A
5745308 Spangenberg Apr 1998 A
5748002 Scott et al. May 1998 A
5757666 Schreiber et al. May 1998 A
5759794 Levine et al. Jun 1998 A
5762770 Pritchard et al. Jun 1998 A
5776710 Levine et al. Jul 1998 A
5780304 Matzinger et al. Jul 1998 A
5786584 Button et al. Jul 1998 A
5788833 Lewis et al. Aug 1998 A
5789255 Yu Aug 1998 A
5792668 Deamer et al. Aug 1998 A
5798031 Charlton et al. Aug 1998 A
5801057 Smart et al. Sep 1998 A
5820551 Hill et al. Oct 1998 A
5820622 Gross et al. Oct 1998 A
5832921 Lennert et al. Nov 1998 A
5834217 Levine et al. Nov 1998 A
5837546 Allen et al. Nov 1998 A
5843691 Douglas et al. Dec 1998 A
5843692 Phillips et al. Dec 1998 A
5846744 Athey et al. Dec 1998 A
5849174 Sanghera et al. Dec 1998 A
5856195 Charlton et al. Jan 1999 A
5873990 Wojciechowski et al. Feb 1999 A
5883378 Irish et al. Mar 1999 A
5885839 Lingane et al. Mar 1999 A
5890489 Elden Apr 1999 A
5904898 Markart May 1999 A
5911872 Lewis et al. Jun 1999 A
5916156 Hildenbrand et al. Jun 1999 A
5921925 Cartmell et al. Jul 1999 A
5922530 Yu Jul 1999 A
5922591 Anderson et al. Jul 1999 A
5925021 Castellano et al. Jul 1999 A
5945341 Howard, III Aug 1999 A
5948289 Noda et al. Sep 1999 A
5951836 McAleer et al. Sep 1999 A
5965380 Heller Oct 1999 A
5968760 Phillips et al. Oct 1999 A
5971923 Finger Oct 1999 A
5989917 McAleer et al. Nov 1999 A
5997817 Crismore et al. Dec 1999 A
6004441 Fujiwara et al. Dec 1999 A
6004442 Choulga et al. Dec 1999 A
6013170 Meade Jan 2000 A
6042714 Lin et al. Mar 2000 A
6044285 Chaiken et al. Mar 2000 A
6045567 Taylor et al. Apr 2000 A
6061128 Zweig et al. May 2000 A
6071391 Gotoh et al. Jun 2000 A
6087182 Jeng et al. Jul 2000 A
6091975 Daddona et al. Jul 2000 A
6102872 Doneen et al. Aug 2000 A
6103033 Say et al. Aug 2000 A
6120676 Heller et al. Sep 2000 A
6121009 Heller et al. Sep 2000 A
6121050 Han Sep 2000 A
6126609 Keith et al. Oct 2000 A
6128519 Say Oct 2000 A
6129823 Hughes et al. Oct 2000 A
6134461 Say et al. Oct 2000 A
6136549 Feistel Oct 2000 A
6136610 Polito et al. Oct 2000 A
6143164 Heller et al. Nov 2000 A
6143247 Sheppard, Jr. et al. Nov 2000 A
6144869 Berner et al. Nov 2000 A
6150124 Riedel Nov 2000 A
6153069 Pottgen et al. Nov 2000 A
RE36991 Yamamoto et al. Dec 2000 E
6156051 Schraga Dec 2000 A
6156173 Gotoh et al. Dec 2000 A
6159745 Roberts et al. Dec 2000 A
6162611 Heller et al. Dec 2000 A
6162639 Douglas Dec 2000 A
6168563 Brown Jan 2001 B1
6168957 Matzinger et al. Jan 2001 B1
6170318 Lewis Jan 2001 B1
6174420 Hodges et al. Jan 2001 B1
6175752 Say et al. Jan 2001 B1
6176988 Kessler Jan 2001 B1
6179979 Hodges et al. Jan 2001 B1
6180062 Naka et al. Jan 2001 B1
6180416 Kurnik et al. Jan 2001 B1
6193873 Ohara et al. Feb 2001 B1
6197040 LeVaughn et al. Mar 2001 B1
6200773 Ouyang et al. Mar 2001 B1
6201607 Roth et al. Mar 2001 B1
6203952 O'Brien et al. Mar 2001 B1
6206282 Hayes, Sr. et al. Mar 2001 B1
6206292 Robertz et al. Mar 2001 B1
6218571 Zheng et al. Apr 2001 B1
6225078 Ikeda et al. May 2001 B1
6226081 Fantone et al. May 2001 B1
6241862 McAleer et al. Jun 2001 B1
6246330 Nielsen Jun 2001 B1
6246966 Perry Jun 2001 B1
6251260 Heller et al. Jun 2001 B1
6258229 Winarta et al. Jul 2001 B1
6258254 Miyamoto et al. Jul 2001 B1
6259937 Schulman et al. Jul 2001 B1
6261519 Harding et al. Jul 2001 B1
6262749 Finger et al. Jul 2001 B1
6268162 Phillips et al. Jul 2001 B1
6270637 Crismore et al. Aug 2001 B1
6271044 Ballerstadt et al. Aug 2001 B1
6272364 Kurnik Aug 2001 B1
6277641 Yager Aug 2001 B1
6281006 Heller et al. Aug 2001 B1
6284125 Hodges et al. Sep 2001 B1
6284550 Carroll et al. Sep 2001 B1
6287451 Winarta et al. Sep 2001 B1
6287595 Loewy et al. Sep 2001 B1
6287875 Geisberg Sep 2001 B1
6294281 Heller Sep 2001 B1
6295506 Heinonen et al. Sep 2001 B1
6299757 Feldman et al. Oct 2001 B1
6300123 Vadgama et al. Oct 2001 B1
6300142 Andrews et al. Oct 2001 B1
6300961 Finger et al. Oct 2001 B1
6309526 Fujiwara et al. Oct 2001 B1
6315951 Markart Nov 2001 B1
6316264 Corey et al. Nov 2001 B1
6325917 Maxwell et al. Dec 2001 B1
6326160 Dunn et al. Dec 2001 B1
6329161 Heller et al. Dec 2001 B1
6330464 Colvin, Jr. et al. Dec 2001 B1
6335203 Patel et al. Jan 2002 B1
6338790 Feldman et al. Jan 2002 B1
6340428 Ikeda et al. Jan 2002 B1
6342364 Watanabe et al. Jan 2002 B1
6349230 Kawanaka Feb 2002 B1
6358752 Durst et al. Mar 2002 B1
6377894 Deweese et al. Apr 2002 B1
6377896 Sato et al. Apr 2002 B1
6379513 Huang et al. Apr 2002 B1
6389891 D'Angelico et al. May 2002 B1
6391558 Henkens et al. May 2002 B1
6391645 Huang et al. May 2002 B1
6394952 Anderson et al. May 2002 B1
6395227 Kiser et al. May 2002 B1
6399258 O'Brien et al. Jun 2002 B2
6401532 Lubbers Jun 2002 B2
6413213 Essenpreis et al. Jul 2002 B1
6413395 Bhullar et al. Jul 2002 B1
6413410 Hodges et al. Jul 2002 B1
6420128 Ouyang et al. Jul 2002 B1
6444115 Hodges et al. Sep 2002 B1
6447657 Bhullar et al. Sep 2002 B1
6454921 Hodges et al. Sep 2002 B1
6461496 Feldman et al. Oct 2002 B1
6475360 Hodges et al. Nov 2002 B1
6475372 Ohara et al. Nov 2002 B1
6484046 Say et al. Nov 2002 B1
6485923 Yani et al. Nov 2002 B1
6488827 Shartle Dec 2002 B1
6489133 Phillips et al. Dec 2002 B2
6491803 Shen et al. Dec 2002 B1
6491870 Patel et al. Dec 2002 B2
6501976 Sohrab Dec 2002 B1
6503381 Gotoh et al. Jan 2003 B1
6512986 Harmon Jan 2003 B1
6514718 Heller et al. Feb 2003 B2
6514769 Lee Feb 2003 B2
6521110 Hodges et al. Feb 2003 B1
6521182 Shartle et al. Feb 2003 B1
6525330 Paolini et al. Feb 2003 B2
6525549 Pollmann Feb 2003 B1
6526298 Khalil et al. Feb 2003 B1
6531239 Heller Mar 2003 B2
6531322 Jurik et al. Mar 2003 B1
6538735 Duebendorfer et al. Mar 2003 B1
6540890 Bhullar et al. Apr 2003 B1
6540891 Stewart et al. Apr 2003 B1
6541266 Modzelewski et al. Apr 2003 B2
6544474 Douglas Apr 2003 B2
6549796 Sohrab Apr 2003 B2
6551494 Heller et al. Apr 2003 B1
6555061 Leong et al. Apr 2003 B1
6557427 Weigl et al. May 2003 B2
6558528 Matzinger May 2003 B1
6560471 Heller et al. May 2003 B1
6562625 Modzelewski et al. May 2003 B2
6565509 Say et al. May 2003 B1
6565738 Henning et al. May 2003 B1
6570390 Hirayama et al. May 2003 B2
6571651 Hodges Jun 2003 B1
6572822 Jurik et al. Jun 2003 B2
6574425 Weiss et al. Jun 2003 B1
6576101 Heller et al. Jun 2003 B1
6576117 Iketaki et al. Jun 2003 B1
6576416 Haviland et al. Jun 2003 B2
6576461 Heller et al. Jun 2003 B2
6579690 Bonnecaze et al. Jun 2003 B1
6591125 Buse et al. Jul 2003 B1
6592744 Hodges et al. Jul 2003 B1
6592745 Feldman et al. Jul 2003 B1
6594514 Berner et al. Jul 2003 B2
6599406 Kawanaka et al. Jul 2003 B1
6600997 Deweese et al. Jul 2003 B2
6605200 Mao et al. Aug 2003 B1
6605201 Mao et al. Aug 2003 B1
6607658 Heller et al. Aug 2003 B1
6616819 Liamos et al. Sep 2003 B1
6618934 Feldman et al. Sep 2003 B1
6623501 Heller et al. Sep 2003 B2
6627057 Bhullar et al. Sep 2003 B1
6632349 Hodges et al. Oct 2003 B1
6638415 Hodges et al. Oct 2003 B1
6638716 Heller et al. Oct 2003 B2
6645359 Bhullar et al. Nov 2003 B1
6645368 Beaty et al. Nov 2003 B1
6654625 Say et al. Nov 2003 B1
6656702 Yugawa et al. Dec 2003 B1
6660141 Minter et al. Dec 2003 B1
6676995 Dick et al. Jan 2004 B2
6689411 Dick et al. Feb 2004 B2
6743635 Neel et al. Jun 2004 B2
7018843 Heller Mar 2006 B2
20010006149 Taniike et al. Jul 2001 A1
20010006150 Taniike et al. Jul 2001 A1
20010017269 Heller et al. Aug 2001 A1
20010019831 Phillips et al. Sep 2001 A1
20010034068 Spivey et al. Oct 2001 A1
20010039057 Douglas et al. Nov 2001 A1
20010041830 Varalli et al. Nov 2001 A1
20010042683 Musho et al. Nov 2001 A1
20010052470 Hodges et al. Dec 2001 A1
20010053535 Ladisch et al. Dec 2001 A1
20010054319 Heller et al. Dec 2001 A1
20010055784 Heller et al. Dec 2001 A1
20020003087 Chih-hui Jan 2002 A1
20020004196 Whitson Jan 2002 A1
20020008038 Heller et al. Jan 2002 A1
20020019707 Cohen et al. Feb 2002 A1
20020023489 Reimelt et al. Feb 2002 A1
20020025469 Heller Feb 2002 A1
20020029058 LeVaughn et al. Mar 2002 A1
20020033345 Meade Mar 2002 A1
20020040850 Liu et al. Apr 2002 A1
20020042090 Heller et al. Apr 2002 A1
20020043471 Ikeda et al. Apr 2002 A1
20020044890 Black Apr 2002 A1
20020053523 Liamos et al. May 2002 A1
20020081588 De Lumley-woodyear et al. Jun 2002 A1
20020082797 Deweese et al. Jun 2002 A1
20020084184 Chambers et al. Jul 2002 A1
20020084196 Liamos et al. Jul 2002 A1
20020092612 Davies et al. Jul 2002 A1
20020100685 Huang et al. Aug 2002 A1
20020102739 Nomura et al. Aug 2002 A1
20020112969 Hodges et al. Aug 2002 A1
20020117404 Maxwell et al. Aug 2002 A1
20020117639 Paolini et al. Aug 2002 A1
20020125145 Ohara et al. Sep 2002 A1
20020130042 Moerman et al. Sep 2002 A1
20020130043 Hodges et al. Sep 2002 A1
20020133064 Ueno et al. Sep 2002 A1
20020137200 Takahashi et al. Sep 2002 A1
20020137230 Nadaoka et al. Sep 2002 A1
20020138275 Amano et al. Sep 2002 A1
20020138356 Dutta et al. Sep 2002 A1
20020139692 Tokunaga et al. Oct 2002 A1
20020146835 Modzelewski et al. Oct 2002 A1
20020148726 Yamamoto et al. Oct 2002 A1
20020148739 Liamos et al. Oct 2002 A2
20020150930 Nadaoka et al. Oct 2002 A1
20020152793 Sato et al. Oct 2002 A1
20020155030 Matsuda et al. Oct 2002 A1
20020155615 Novikov et al. Oct 2002 A1
20020157948 Liamos et al. Oct 2002 A2
20020160517 Modzelewski et al. Oct 2002 A1
20020164822 Takahashi et al. Nov 2002 A1
20020168290 Yuzhakov et al. Nov 2002 A1
20020168298 Huhn et al. Nov 2002 A1
20020175075 Deng et al. Nov 2002 A1
20020175087 Hodges et al. Nov 2002 A1
20020177788 Hodges et al. Nov 2002 A1
20020179440 Tokunaga et al. Dec 2002 A1
20020179441 Yamanishi et al. Dec 2002 A1
20020179442 Miyazaki et al. Dec 2002 A1
20020185385 Charlton Dec 2002 A1
20020189941 Katsuki et al. Dec 2002 A1
20030000834 Yoshioka et al. Jan 2003 A1
20030024811 Davies et al. Feb 2003 A1
20030032875 Taniike et al. Feb 2003 A1
20030036202 Teodorcyzk et al. Feb 2003 A1
20030042137 Mao et al. Mar 2003 A1
20030042150 Ryu et al. Mar 2003 A1
20030054427 Phillips et al. Mar 2003 A1
20030064525 Liess Apr 2003 A1
20030073151 Phillips et al. Apr 2003 A1
20030073152 Phillips et al. Apr 2003 A1
20030073153 Phillips et al. Apr 2003 A1
20030079987 Hodges et al. May 2003 A1
20030080001 Hodges et al. May 2003 A1
20030088166 Say et al. May 2003 A1
20030094383 Kermani May 2003 A1
20030098233 Kermani et al. May 2003 A1
20030098234 Hasegawa et al. May 2003 A1
20030100030 Nadaoka et al. May 2003 A1
20030100040 Bonnecaze et al. May 2003 A1
20030100821 Heller et al. May 2003 A1
20030102213 Gotoh et al. Jun 2003 A1
20030106809 Kermani et al. Jun 2003 A1
20030108976 Braig et al. Jun 2003 A1
20030109798 Kermani Jun 2003 A1
20030132110 Hasegawa et al. Jul 2003 A1
20030134347 Heller et al. Jul 2003 A1
20030143113 Yuzhakov et al. Jul 2003 A2
20030143116 Zheng et al. Jul 2003 A1
20030146110 Karinka et al. Aug 2003 A1
20030150724 Kawanaka et al. Aug 2003 A1
20030152823 Heller Aug 2003 A1
20030155237 Surridge et al. Aug 2003 A1
20030155538 Siepmann Aug 2003 A1
20030159944 Pottgen et al. Aug 2003 A1
20030159945 Miyazaki et al. Aug 2003 A1
20030164293 Hodges et al. Sep 2003 A1
20030167862 Hodges Sep 2003 A1
20030168338 Gao et al. Sep 2003 A1
20030175841 Watanabe et al. Sep 2003 A1
20030175946 Tokunaga et al. Sep 2003 A1
20030176183 Druker et al. Sep 2003 A1
20030178322 Iyengar et al. Sep 2003 A1
20030179440 Tokunaga et al. Sep 2003 A1
20030180183 Fukuoka et al. Sep 2003 A1
20030187338 Say et al. Oct 2003 A1
20030188427 Say et al. Oct 2003 A1
20030190069 Nikitin et al. Oct 2003 A1
20030199744 Buse et al. Oct 2003 A1
20030199893 Boecker et al. Oct 2003 A1
20030201194 Heller et al. Oct 2003 A1
20030203498 Neel et al. Oct 2003 A1
20030203503 Fukuoka et al. Oct 2003 A1
20030217918 Davies et al. Nov 2003 A1
20040005721 Tanike et al. Jan 2004 A1
20040016642 Miyazaki et al. Jan 2004 A1
20040020777 Miyamoto et al. Feb 2004 A1
20040106941 Roe et al. Jun 2004 A1
Foreign Referenced Citations (272)
Number Date Country
737 787 Aug 2001 AU
36 43 263 Jul 1988 DE
40 11 428 Nov 1990 DE
298 14 997 Aug 1993 DE
199 36 693 Feb 2001 DE
0 010 456 Apr 1980 EP
0 034 049 Aug 1981 EP
0 057 110 Aug 1982 EP
0 073 056 Mar 1983 EP
0 084 874 Aug 1983 EP
0 101 880 Mar 1984 EP
0 132 790 Feb 1985 EP
0 164 180 Dec 1985 EP
0 171 148 Feb 1986 EP
0 171 239 Feb 1986 EP
0 186 286 Jul 1986 EP
0 241 309 Oct 1987 EP
0 287 883 Oct 1988 EP
0 359 831 Mar 1990 EP
0 206 218 Jun 1991 EP
0 471 986 Feb 1992 EP
0 471 986 Apr 1992 EP
0 255 291 Jun 1992 EP
0 546 536 Jun 1993 EP
0 244 326 Aug 1993 EP
0 537 761 Feb 1994 EP
0 417 796 Nov 1994 EP
0 213 343 Feb 1995 EP
0 636 880 Feb 1995 EP
0 640 832 Mar 1995 EP
0 651 250 May 1995 EP
0 471 986 Oct 1995 EP
0 127 958 Apr 1996 EP
0 732 406 Sep 1996 EP
0 732 590 Sep 1996 EP
0 383 322 Feb 1997 EP
0 537 761 Aug 1997 EP
0 840 122 May 1998 EP
0 851 224 Jul 1998 EP
0 859 230 Aug 1998 EP
0 878 713 Nov 1998 EP
0 837 320 Dec 1998 EP
0 887 421 Dec 1998 EP
0 894 509 Feb 1999 EP
0 470 649 Jun 1999 EP
0 942 278 Sep 1999 EP
0 964 059 Dec 1999 EP
0 987 544 Mar 2000 EP
1 024 358 Aug 2000 EP
1 035 216 Sep 2000 EP
0 230 472 Dec 2000 EP
1 067 384 Jan 2001 EP
1 074 832 Feb 2001 EP
1 081 490 Mar 2001 EP
1 130 390 Sep 2001 EP
0 741 186 Oct 2001 EP
1 143 245 Oct 2001 EP
1 147 739 Oct 2001 EP
1 152 239 Nov 2001 EP
1 156 324 Nov 2001 EP
1 225 448 Jul 2002 EP
1 235 069 Aug 2002 EP
0 958 495 Nov 2002 EP
1 102 991 Nov 2002 EP
1 256 798 Nov 2002 EP
1 275 732 Jan 2003 EP
1 281 955 Feb 2003 EP
1 009 850 Mar 2003 EP
1 288 653 Mar 2003 EP
1 312 919 May 2003 EP
1 316 367 Jun 2003 EP
1 318 396 Jun 2003 EP
0 876 506 Jul 2003 EP
1 129 211 Jul 2003 EP
1 308 720 Jul 2003 EP
1 324 025 Jul 2003 EP
1 324 038 Jul 2003 EP
1 327 881 Jul 2003 EP
1 352 611 Oct 2003 EP
1 352 969 Oct 2003 EP
1 369 684 Dec 2003 EP
1 369 687 Dec 2003 EP
1 119 637 Mar 2004 EP
1 394 535 Mar 2004 EP
1 413 879 Apr 2004 EP
1 431 758 Jun 2004 EP
2 295 676 Jun 1996 GB
2 365 123 Feb 2002 GB
63-111453 May 1988 JP
63-128252 May 1988 JP
01-291153 Nov 1989 JP
03-099254 Apr 1991 JP
04-121652 Apr 1992 JP
93-31261 Nov 1993 JP
08-262026 Oct 1996 JP
09-043242 Feb 1997 JP
91-59644 Jun 1997 JP
10 332626 Dec 1998 JP
2000-19146 Jan 2000 JP
2000 019147 Jan 2000 JP
2180514 Mar 2002 RU
WO 8101794 Jul 1981 WO
WO 8300926 Mar 1983 WO
WO 8607632 Dec 1986 WO
WO 8908713 Sep 1989 WO
WO 8909397 Oct 1989 WO
WO 9005293 May 1990 WO
WO 9201928 Feb 1992 WO
WO 9207655 May 1992 WO
WO 9215859 Sep 1992 WO
WO 9215861 Sep 1992 WO
WO 9215950 Sep 1992 WO
WO 9222669 Dec 1992 WO
WO 9309433 May 1993 WO
WO 9412950 Jun 1994 WO
WO 9416095 Jul 1994 WO
WO 9423295 Oct 1994 WO
WO 9428414 Dec 1994 WO
WO 9429705 Dec 1994 WO
WO 9503542 Feb 1995 WO
WO 9506919 Mar 1995 WO
WO 9507050 Mar 1995 WO
WO 9522597 Aug 1995 WO
WO 9604398 Feb 1996 WO
WO 9607908 Mar 1996 WO
WO 9613707 May 1996 WO
WO 9615454 May 1996 WO
WO 9633403 Oct 1996 WO
WO 9700441 Jan 1997 WO
WO 9702487 Jan 1997 WO
WO 9708544 Mar 1997 WO
WO 9716726 May 1997 WO
WO 9718465 May 1997 WO
WO 9729366 Aug 1997 WO
WO 9729847 Aug 1997 WO
WO 9730344 Aug 1997 WO
WO 9739341 Oct 1997 WO
WO 9739343 Oct 1997 WO
WO 9742882 Nov 1997 WO
WO 9742888 Nov 1997 WO
WO 9745719 Dec 1997 WO
WO 9805424 Feb 1998 WO
WO 9819153 May 1998 WO
WO 9819159 May 1998 WO
WO 9829740 Jul 1998 WO
WO 9835225 Aug 1998 WO
WO 9855853 Dec 1998 WO
WO 9857159 Dec 1998 WO
WO 9905966 Feb 1999 WO
WO 9909404 Feb 1999 WO
WO 9912008 Mar 1999 WO
WO 9912021 Mar 1999 WO
WO 9913099 Mar 1999 WO
WO 9913100 Mar 1999 WO
WO 9905516 Apr 1999 WO
WO 9922236 May 1999 WO
WO 9923479 May 1999 WO
WO 9929230 Jun 1999 WO
WO 9930152 Jun 1999 WO
WO 9932881 Jul 1999 WO
WO 9939627 Aug 1999 WO
WO 9941596 Aug 1999 WO
WO 9951974 Oct 1999 WO
WO 9957317 Nov 1999 WO
WO 9958709 Nov 1999 WO
WO 9959464 Nov 1999 WO
WO 9960383 Nov 1999 WO
WO 9964620 Dec 1999 WO
WO 0009996 Feb 2000 WO
WO 0010007 Feb 2000 WO
WO 0020626 Apr 2000 WO
WO 0026638 May 2000 WO
WO 0028068 May 2000 WO
WO 0033072 Jun 2000 WO
WO 0033074 Jun 2000 WO
WO 0042422 Jul 2000 WO
WO 0045160 Aug 2000 WO
WO 0054047 Sep 2000 WO
WO 0057177 Sep 2000 WO
WO 0060340 Oct 2000 WO
WO 0062047 Oct 2000 WO
WO 0073778 Dec 2000 WO
WO 0073785 Dec 2000 WO
WO 0078917 Dec 2000 WO
WO 00078992 Dec 2000 WO
WO 0102093 Jan 2001 WO
WO 0113115 Feb 2001 WO
WO 0113115 Feb 2001 WO
WO 0125775 Apr 2001 WO
WO 0125776 Apr 2001 WO
WO 0128423 Apr 2001 WO
WO 0173420 Apr 2001 WO
WO 0130915 May 2001 WO
WO 0133216 May 2001 WO
WO 0136430 May 2001 WO
WO 0136660 May 2001 WO
WO 0136953 May 2001 WO
WO 0146457 Jun 2001 WO
WO 0140788 Jul 2001 WO
WO 0157238 Aug 2001 WO
WO 0157239 Aug 2001 WO
WO 0157510 Aug 2001 WO
WO 0164105 Sep 2001 WO
WO 0167099 Sep 2001 WO
WO 0171328 Sep 2001 WO
WO 0171329 Sep 2001 WO
WO 0172220 Oct 2001 WO
WO 0173109 Oct 2001 WO
WO 0173114 Oct 2001 WO
WO 0173124 Oct 2001 WO
WO 0173395 Oct 2001 WO
WO 0174242 Oct 2001 WO
WO 0175433 Oct 2001 WO
WO 0175438 Oct 2001 WO
WO 0184133 Nov 2001 WO
WO 0184142 Nov 2001 WO
WO 0188524 Nov 2001 WO
WO 0192857 Dec 2001 WO
WO 0195806 Dec 2001 WO
WO 0196596 Dec 2001 WO
WO 0200112 Jan 2002 WO
WO 0206822 Jan 2002 WO
WO 0208750 Jan 2002 WO
WO 0208753 Jan 2002 WO
WO 0210728 Feb 2002 WO
WO 0213966 Feb 2002 WO
WO 0213970 Feb 2002 WO
WO 0214535 Feb 2002 WO
WO 0218053 Mar 2002 WO
WO 0222855 Mar 2002 WO
WO 0232559 Apr 2002 WO
WO 0248707 Jun 2002 WO
WO 0249507 Jun 2002 WO
WO 0250609 Jun 2002 WO
WO 02054055 Jul 2002 WO
WO 02057767 Jul 2002 WO
WO 02057768 Jul 2002 WO
WO 02057781 Jul 2002 WO
WO 02058537 Aug 2002 WO
WO 02062212 Aug 2002 WO
WO 02067768 Sep 2002 WO
WO 02070734 Sep 2002 WO
WO 02071044 Sep 2002 WO
WO 02078512 Oct 2002 WO
WO 02078533 Oct 2002 WO
WO 02086483 Oct 2002 WO
WO 02093152 Nov 2002 WO
WO 02095355 Nov 2002 WO
WO 02097418 Dec 2002 WO
WO 02103343 Dec 2002 WO
WO 03005015 Jan 2003 WO
WO 03012422 Feb 2003 WO
WO 03014740 Feb 2003 WO
WO 03014741 Feb 2003 WO
WO 03015627 Feb 2003 WO
WO 03015629 Feb 2003 WO
WO 03021706 Mar 2003 WO
WO 03025257 Mar 2003 WO
WO 03029804 Apr 2003 WO
WO 03032411 Apr 2003 WO
WO 03039483 May 2003 WO
WO 03042679 May 2003 WO
WO 03042680 May 2003 WO
WO 03044513 May 2003 WO
WO 03048756 Jun 2003 WO
WO 03060154 Jul 2003 WO
WO 03067252 Aug 2003 WO
WO 03069304 Aug 2003 WO
WO 03083469 Oct 2003 WO
WO 03085372 Oct 2003 WO
WO 03091717 Nov 2003 WO
WO 2004005908 Jan 2004 WO
Related Publications (1)
Number Date Country
20040256248 A1 Dec 2004 US
Provisional Applications (1)
Number Date Country
60480298 Jun 2003 US