Embodiments of the subject matter described herein relate generally to monitoring analyte levels in patients. More particularly, embodiments of the subject matter relate to glucose sensors.
The pancreas of a normal healthy person produces and releases insulin into the blood stream in response to elevated blood plasma glucose levels. Beta cells (β-cells), which reside in the pancreas, produce and secrete insulin into the blood stream as it is needed. If β-cells become incapacitated or die, a condition known as Type 1 diabetes mellitus (or in some cases, if β-cells produce insufficient quantities of insulin, a condition known as Type 2 diabetes), then insulin may be provided to a body from another source to maintain life or health.
Traditionally, because insulin cannot be taken orally, insulin has been injected with a syringe. More recently, the use of infusion pump therapy has been increasing in a number of medical situations, including for delivering insulin to diabetic individuals. For example, external infusion pumps may be worn on a belt, in a pocket, or the like, and they can deliver insulin into a body via an infusion tube with a percutaneous needle or a cannula placed in subcutaneous tissue.
As of 1995, less than 5% of Type 1 diabetic individuals in the United States were using infusion pump therapy. Currently, over 7% of the more than 900,000 Type 1 diabetic individuals in the U.S. are using infusion pump therapy. The percentage of Type 1 diabetic individuals that use an infusion pump is growing at a rate of over 2% each year. Moreover, the number of Type 2 diabetic individuals is growing at 3% or more per year, and growing numbers of insulin-using Type 2 diabetic individuals are also adopting infusion pumps. Additionally, physicians have recognized that continuous infusion can provide greater control of a diabetic individual's condition, so they too are increasingly prescribing it for patients.
An infusion pump system may include an infusion pump that is automatically and/or semi-automatically controlled to infuse insulin into a patient. The infusion of insulin may be controlled to occur at times and in amounts that are based, for example, on blood glucose measurements obtained from an embedded analyte sensor, such as a glucose sensor, in real-time.
Analyte sensors such as biosensors include devices that use biological elements to convert a chemical analyte in a matrix into a detectable signal. There are many types of biosensors used for a wide variety of analytes. The most studied type of biosensor is the amperometric glucose sensor, which is crucial to the successful glucose level control for diabetes.
A typical glucose sensor works according to the following chemical reactions:
In equation 1, the glucose oxidase is used to catalyze the reaction between glucose and oxygen to yield gluconic acid and hydrogen peroxide (H2O2). The hydrogen peroxide reacts electrochemically as shown in equation 2 and the resulting current can be measured by a potentiostat. These reactions, which occur in a variety of oxidoreductases known in the art, are used in a number of sensor designs.
As analyte sensor technology matures and new applications for sensor technology are developed, there is a need for improved methods for monitoring analyte levels in patients that facilitate the use of sensors in the wide variety of situations in which the measurement of an analyte is desirable.
Accordingly, it is desirable to have an improved analyte sensor and related monitoring apparatus and method that address the shortcomings of traditional sensor systems. Furthermore, other desirable features and characteristics will become apparent from the subsequent detailed description and the appended claims, taken in conjunction with the accompanying drawings and the foregoing technical field and background.
A method for monitoring an analyte within the body of a patient is provided here. In accordance with certain embodiments, the method for monitoring an analyte within the body of a patient includes implanting an analyte sensor at a sensor placement site in the patient. The analyte sensor includes a reference electrode, a counter electrode, a primary working electrode having a first structure, and an auxiliary working electrode having a second structure different from the first structure. The method includes communicating a primary signal from the primary working electrode and an auxiliary signal from the auxiliary working electrode to a processor. Further, the method includes monitoring the primary signal and the auxiliary signal with the processor to characterize a change in a physiological characteristic at the sensor placement site.
An exemplary embodiment of an analyte sensor system is also presented here. The analyte sensor includes a reference electrode, a counter electrode, a primary working electrode, and an auxiliary working electrode. The primary working electrode has a first structure and the auxiliary working electrode has a second structure different from the first structure.
Also provided is an exemplary embodiment of an analyte monitoring apparatus. The analyte monitoring apparatus includes a base element adapted to secure the apparatus to the patient. The analyte monitoring apparatus also includes a piercing member coupled to and extending from the base element. Further, the analyte monitoring apparatus includes an electrochemical sensor for monitoring an electrochemical sensor placement site. The electrochemical sensor is operatively coupled to the piercing member and includes a reference electrode, a counter electrode, a primary working electrode having a first structure, and an auxiliary working electrode having a second structure different from the first structure. The analyte monitoring apparatus also includes a sensor input capable of receiving signals from the electrochemical sensor and a processor coupled to the sensor input. The processor is capable of characterizing one or more signals received from the electrodes of the electrochemical sensor.
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.
A more complete understanding of the subject matter may be derived by referring to the detailed description and claims when considered in conjunction with the following figures, wherein like reference numbers refer to similar elements throughout the figures.
The following detailed description is merely illustrative in nature and is not intended to limit the embodiments of the subject matter or the application and uses of such embodiments. As used herein, the word “exemplary” means “serving as an example, instance, or illustration.” Any implementation described herein as exemplary is not necessarily to be construed as preferred or advantageous over other implementations. Furthermore, there is no intention to be bound by any expressed or implied theory presented in the preceding technical field, background, brief summary or the following detailed description. Also, while the preceding background discusses glucose sensing and exemplary analyte sensors are described as glucose sensors herein, such description is for convenience and is not limiting. The claimed subject matter may include any type of analyte sensor utilizing an embodiment of the sensor electrodes described herein.
In an exemplary analyte monitoring apparatus, blood-glucose measurements may be employed in a closed loop infusion system for regulating a rate of fluid infusion into a body. In particular embodiments, a control system may be adapted to regulate a rate of insulin, glucagon, and/or glucose infusion into a body of a patient based, at least in part, on a glucose concentration measurement taken from a body (e.g., from a glucose sensor).
According to certain embodiments, examples of analyte sensors and/or monitoring apparatuses as described herein may be implemented in a hospital environment to monitor levels of glucose in a patient. Alternatively, according to certain embodiments, examples of analyte sensors and/or monitoring apparatuses as described herein may be implemented in non-hospital environments to monitor levels of glucose in a patient. Here, a patient or other non-medical professional may be responsible for interacting with an analyte sensors and/or monitoring apparatuses.
To maintain healthy glucose levels, a person with type 1 diabetes may manage their glycemia by monitoring blood glucose levels, controlling diet, exercise, and self-administering appropriate amounts of insulin at appropriate times. Deviations from such glycemic management, such as skipping an insulin bolus at meal time or underestimating the carbohydrate content of a meal may bring about prolonged hyperglycemia. Likewise, receiving too much insulin (e.g., by over-bolusing) for a given blood glucose level and/or meal may bring about severe hypoglycemia. Other external factors, such as exercise or stress, may also contribute to glycemic deviations.
Errors in reading glucose levels may contribute to providing too much or too little insulin. For example, low oxygen (local hypoxia) and/or the presence of an electroactive interferent in vivo at the monitoring site may cause gradual or incisive transgression toward an unsuitable glucose sensing environment. As a result, issues like current dips, sensor sensitivity loss, and false sensor glucose over-reading (increased current in response to the presence of an electroactive interferent) may occur.
A particular embodiment of an analyte sensor or monitoring apparatus has the diagnostic capability to detect or characterize changes in glucose to oxygen molar ratios in vivo (e.g., reduction in local subcutaneous oxygen). Another particular embodiment of an analyte sensor or monitoring apparatus has the diagnostic capability to detect or characterize transient incisive but false increase in sensor glucose value due to introduction of electroactive interferents. Such embodiments may reduce the risk of hypoglycemia and hyperglycemia by eliminating or reducing analyte monitoring error.
By more accurately monitoring a patient's glucose level and maintaining appropriate infusion rates, extreme glycemic variations may be reduced or avoided altogether. This may provide a patient with improved glycemic control in circumstances in which they would otherwise be exposed to undesirable extremes of glycemia.
In certain exemplary embodiments, analyte sensor 11 may generate a sensor signal 16 representative of blood glucose levels 18 in body 20, and it may provide sensor signal 16 to controller 12. Controller 12 may receive sensor signal 16 and generate commands 22 that are communicated to insulin delivery system 14, glucagon delivery system 13, and/or glucose delivery system 15. Insulin delivery system 14 may receive commands 22 and infuse insulin 24 into body 20 in response to commands 22. Likewise, glucagon delivery system 13 may receive commands 22 and infuse glucagon 23 into body 20 in response to commands 22. Similarly, glucose delivery system 15 may receive commands 22 and provide glucose 25 into body 20 in response to commands 22.
Analyte sensor 11 may include a glucose sensor, sensor electrical components to provide power to a sensor and to generate sensor signal 16, a sensor communication system to carry sensor signal 16 to controller 12, and a sensor system housing for electrical components and a sensor communication system. A glucose sensor may measure blood glucose directly from a blood stream, indirectly via interstitial fluid using, e.g., a subcutaneous sensor, some combination thereof, and so forth, just to name a few examples. As used herein, “blood glucose”, “measured blood glucose”, “blood glucose concentration”, “measured blood glucose concentration”, and the like may refer to a glucose level, a blood glucose level, a blood glucose concentration, and so forth that has been obtained via any type of glucose sensor. It should be understood, however that using a blood glucose sensor is only one particular technique for obtaining such observations or measurements, and that other techniques, such as measuring blood glucose inform observations of other body fluids (e.g., observations of the presence of glucose in interstitial fluid using a subcutaneous sensor), may be used without deviating from claimed subject matter.
Controller 12 may include electrical components and software to generate commands 22 for insulin delivery system 14, glucagon delivery system 13, and/or glucose delivery system 15 based on sensor signal 16. Controller 12 may also include a controller communication system to receive sensor signal 16 and provide commands 22 to insulin delivery system 14, glucagon delivery system 13, and/or glucose delivery system 15. In particular example implementations, controller 12 may include a user interface and/or operator interface (not shown) including a data input device and/or a data output device. Such a data output device may, for example, generate signals to initiate an alarm and/or include a display or printer for showing status of a controller 12 and/or a patient's vital indicators. Such a data input device may include dials, buttons, pointing devices, manual switches, alphanumeric keys, a touch-sensitive display, combinations thereof, and/or the like for receiving user and/or operator inputs. Such a data input device may be used for scheduling and/or initiating insulin bolus injections for meals, for example. It should be understood, however, that these are merely examples of input and output devices that may be a part of an operator and/or user interface and that claimed subject matter is not limited in these respects.
Insulin delivery system 14 may include an infusion device and/or an infusion tube to infuse insulin 24 into body 20. Similarly, glucagon delivery system 13 may include an infusion device and/or an infusion tube to infuse glucagon 23 into body 20. Likewise, glucose delivery system 15 may include an infusion device and/or an infusion tube to infuse glucose 25 into body 20. In alternative embodiments, insulin 24, glucagon 23, and/or glucose 25 may be infused into body 20 using a shared infusion tube. In other alternative embodiments, insulin 24, glucagon 23, and/or glucose 25 may be infused using an intravenous system for providing fluids to a patient (e.g., in a hospital or other medical environment). It should be understood, however, that certain example embodiments may include an insulin delivery system 14 without a glucagon delivery system 13 and/or without a glucose delivery system 15.
In particular embodiments, an infusion device (not explicitly identified in
In particular embodiments, controller 12 may be housed in an infusion device housing, and an infusion communication system may include an electrical trace or a wire that carries commands 22 from controller 12 to an infusion device. In alternative embodiments, controller 12 may be housed in a sensor system housing, and a sensor communication system may include an electrical trace or a wire that carries sensor signal 16 from sensor electrical components to controller electrical components. In other alternative embodiments, controller 12 may have its own housing or may be included in a supplemental device. In yet other alternative embodiments, controller 12 may be co-located with an infusion device and a sensor system within a single housing. In further alternative embodiments, a sensor, a controller, and/or infusion communication systems may utilize a cable, a wire, a fiber optic line, RF, IR, or ultrasonic transmitters and receivers, combinations thereof, and/or the like instead of electrical traces, just to name a few examples.
Particular embodiments may include a sensor 11, a sensor set 28, a telemetered characteristic monitor 30, a sensor cable 32, an infusion device 34, an infusion tube 36, and an infusion set 38, any or all of which may be worn on a body 20 of a user or patient, as shown in
Sensor 11 may be held in place by sensor set 28, which may be adhesively secured to a user's skin 46, as shown in
With reference to
In particular example embodiments, a connector tip 54 of reservoir 50 may extend through infusion device housing 52, and a first end 51 of infusion tube 36 may be attached to connector tip 54. A second end 53 of infusion tube 36 may connect to infusion set 38 (e.g., of
In exemplary alternative embodiments, as pointed out above, a system in particular implementations may be a part of a hospital-based glucose management system. Given that insulin therapy during intensive care has been shown to dramatically improve wound healing and reduce blood stream infections, renal failure, and polyneuropathy mortality, irrespective of whether subjects previously had diabetes (See, e.g., Van den Berghe G. et al. NEJM 345: 1359-67, 2001), particular implementations may be used in a hospital setting to control a blood glucose level of a patient in intensive care. In such alternative embodiments, because an intravenous (IV) hookup may be implanted into a patient's arm while the patient is in an intensive care setting (e.g., ICU), a closed loop glucose control may be established that piggy-backs off an existing IV connection. Thus, in a hospital or other medical-facility based system, IV catheters that are directly connected to a patient's vascular system for purposes of quickly delivering IV fluids, may also be used to facilitate blood sampling and direct infusion of substances (e.g., insulin, glucose, glucagon, etc.) into an intra-vascular space.
Certain examples of system and/or environmental delays are described herein. Ideally, a sensor and associated component(s) would be capable of providing a real time, noise-free measurement of a parameter, such as a blood glucose measurement, that a control system is intended to control. However, in real-world implementations, there are typically physiological, chemical, electrical, algorithmic, and/or other sources of time delays that may contribute to a sensor measurement lagging behind an actual present value. Also, as noted herein, such a delay may arise from, for instance, a particular level of noise filtering that is applied to a sensor signal. Such delays and/or time lags in obtaining sensor glucose measurements may ultimately affect closed-loop operation. Accordingly, and as discussed in greater detail below, feedback control mechanisms using various approaches by application of a predicted duration of a blood glucose level being outside of a target range to better address a patient's glycemic health.
The illustrated embodiment of the monitoring apparatus 10 generally includes, without limitation: sensor electrodes 102 formed on analyte sensor 11 of
The elements depicted in
The sensor electrodes 102 are designed for subcutaneous placement at a selected site in the body of a user. When placed in this manner, the sensor electrodes 102 are exposed to the user's bodily fluids such that they can react in a detectable manner to the physiological characteristic of interest, e.g., blood glucose level. In certain embodiments, the sensor electrodes 102 may include a counter electrode, a reference electrode, and working electrodes. For the embodiments described here, the sensor electrodes 102 employ thin film electrochemical sensor technology of the type used for monitoring blood glucose levels in the body. Further description of flexible thin film sensors of this general type are found in U.S. Pat. No. 5,391,250, entitled METHOD OF FABRICATING THIN FILM SENSORS, which is herein incorporated by reference. In other embodiments, different types of implantable sensor technology, such as chemical based, optical based, or the like, may be used.
The sensor electrodes 102 cooperate with sensor electronics, which may be integrated with the sensor electrodes 102 in a sensor device package, or which may be implemented in a physically distinct device or component that communicates with the sensor electrodes 102 (such as a monitor device, an infusion pump device, a controller device, or the like). In this regard, any or all of the remaining elements shown in
For purposes of this example, the sensor electronics include the signal processor 104, the nonlinear mapper 106, the output interface 108, the regulator 110, and the power supply 112. The power supply 112 provides power (in the form of either a voltage, a current, or a voltage including a current) to the regulator 110. The power supply 112 may also be suitably configured to provide operating power to the signal processor 104, the nonlinear mapper 106, and/or the output interface 108 as needed. In certain embodiments, the power supply 112 is realized using one or more batteries.
The regulator 110 generates and applies regulated voltage to the sensor electrodes 102. In certain embodiments, the regulator 110 applies voltage to the counter electrode of the sensor electrodes 102. The regulator 110 generates and applies DC voltage to the sensor electrodes 102 during a first excitation mode to obtain a constant potential sensor current (Isig) that is indicative of the blood glucose level. The sensor electrodes react to a DC voltage in a way that is influenced by the BG level in the body of the subject. The resulting constant potential sensor current (Isig) serves as the raw sensor output during the DC stimulation mode. Thus, Isig varies in accordance with changes to the BG level of the subject.
In addition, the regulator 110 may generate and apply AC voltage (at different frequencies) to the sensor electrodes 102 during an electrochemical impedance spectroscopy (EIS) excitation mode to carry out an EIS procedure during which EIS output measurements are obtained from the sensor electrodes 102. Thus, the regulator 110 is responsible for managing the excitation voltage characteristics, frequencies, magnitudes, and timing required to support the sensor operating methodologies described herein.
When driven by an excitation voltage signal 120, the sensor electrodes 102 respond in a way that is indicative of a concentration of a physiological characteristic being measured. For this example, the sensor output signal 122 may be indicative of a blood glucose reading. In certain embodiments, the sensor output signal 122 is present at the working electrodes of the sensor electrodes 102. In practice, the sensor output signal 122 may be a current or a voltage measured at the working electrodes. During an EIS procedure, the sensor output signal 122 is indicative of an impedance at the given frequency, an amplitude, and a phase angle.
The signal processor 104 receives the sensor output signals 122 that are produced in response to the application of corresponding DC or AC voltage to the sensor electrodes 102. The signal processor 104 processes the sensor output signals 122 and generates processed sensor signals that are suitable for use as inputs to the nonlinear mapper 106. The nonlinear mapper 106 receives the processed sensor signals and performs a nonlinear mapping operation to generate a corresponding blood glucose value. The nonlinear mapper 106 utilizes a sensor characterization model for the particular type of sensor, wherein the model generates the blood glucose value in the absence of any calibration factor or linear translation. In this regard, the nonlinear mapper 106 is designed and programmed in a way that accurately generates blood glucose values in a calibration-free manner that does not require BG meter (finger stick) measurements. Moreover, the nonlinear mapper 106 is designed and programmed such that the output mapping automatically compensates for typical manufacturing tolerances, shelf life, operating age, and other changes to the monitoring apparatus 10 that would normally be corrected by way of frequent calibration routines.
The BG values generated by the nonlinear mapper 106 may be provided to the output interface 108, which in turn may generate an appropriate output that conveys the BG values. For example, the output interface 108 may include or cooperate with a display driver and graphics processor to render the BG values on a display element (not shown). As another example, the output interface 108 may include or cooperate with a data communication module, such as a network interface, a wireless transmitter, a modem, or the like. The output interface 108 can be designed to support any output format or methodology as appropriate to the particular embodiment. In this regard, the output interface 108 may communicate with any or all of the following, without limitation: a display device; a computer; a pager; a television set; a server; a mobile telephone device; an infusion pump including a display; a personal medical device; hospital equipment; or the like.
To optimize the electrochemistry of the glucose sensing reaction, in an embodiment the counter electrode 202 is the largest electrode, i.e., has the largest surface area, the working electrodes 206 and 208 are the next largest electrodes and the reference electrode 204 is the smallest electrode. The counter electrode 202 may be as large as possible while consistent with sensor insertion requirements to minimize pain on insertion of the sensor into the body of the user. For instance, to fit within a 22 gauge needle. However, alternative embodiments may be sized to fit other gauge needles ranging from 18 gauge to 30 gauge.
In additional embodiments, the electrodes 102 (i.e., conductors) may have a line width of 50μ to assure good electrical conduction of a sensor signal. However, smaller widths down to 10μ and anything larger can be used if a sufficient signal accuracy is provided and the sensor 102 can fit within a needle as described above.
In exemplary embodiments, the primary working electrode 206 and the auxiliary working electrode 208 have different structures. For example, the primary working electrode 206 may have a first electrochemical surface area 212 and the auxiliary working electrode 208 may have a second electrochemical surface area 214 different from the first electrochemical surface area 212. For example, as shown, the primary working electrode 206 has an outer surface 216 and the auxiliary working electrode 208 has an outer surface 218. In an embodiment, the outer surfaces 216 and 218 may be formed by a same material with substantially identical characteristics. However, the surface areas of the outer surfaces 216 and 218 may differ so that the effective electrochemical surface areas 212 and 214 differ. In an embodiment, the first electrochemical surface area 212 is larger than the second electrochemical surface area 214.
In another embodiment, the outer surfaces 216 and 218 may be formed by different materials or by a same material having different characteristics. For example, outer surface 216 may be formed rougher, i.e., with greater height and depth changes, than outer surface 218. Thus, the two-dimensional cross sectional areas of the primary working electrode 206 and the auxiliary working electrode 208 may be substantially equal, while the first electrochemical surface area 212 may be larger than the second electrochemical surface area 214.
In accordance with an embodiment herein, the primary working electrode 206 and the auxiliary working electrode 208 are each provided to sense a blood glucose level at the sensor placement site. However, the primary working electrode 206 and the auxiliary working electrode 208 are adapted to provide different responses to certain physiological characteristics at the sensor placement site.
Oxygen is then reduced to hydrogen peroxide (H2O2). The hydrogen peroxide is further oxidized at the electrode surface 224, such as a platinum (Pt) surface, donating electrons to the electrode and in the process evolving oxygen (O2rec) as a byproduct.
Thus, the reaction includes the steps of:
Step 1: H2O2+Pt(OH)Pt(OH)*(H2O2)
Step 2: Pt(OH)*(H2O2)→Pt+2H2O+O2
Step 3: Pt+2H2O→Pt(OH)+2H−+e−
As can be seen, the reaction is mass transfer limited, and all the available hydrogen peroxide is immediately oxidized at the electrode surface 224.
Embodiments herein provide the primary working electrode 206 and the auxiliary working electrode 208 with different electrochemical surface areas in order to identify changes in the oxygen level at the sensor placement site. Specifically, for a working electrode with a smaller electrochemical surface area, e.g., the auxiliary working electrode 208, the hydrogen peroxide oxidation reaction step at the electrode surface 218 is more kinetically controlled. In other words, at any given concentration of hydrogen peroxide, less hydrogen peroxide gets oxidized at the electrode surface 218 as compared to the amount of hydrogen peroxide that is oxidized at the electrode surface, e.g., surface 216, of a working electrode having a higher electrochemical surface area, e.g., primary working electrode 206. Thus, a reduction in the tissue oxygen leads to disturbance of the steady flux of hydrogen peroxide from the enzyme layer to the electrode layer.
For the primary working electrode 206 with a higher electrochemical surface area, the amount of evolved oxygen (O2rec) is reasonably high to sustain the Isig generation momentarily after a decrease in tissue oxygen. The dearth of O2sys (due to the low oxygen environment) and availability of transient O2rec causes the Glucose→H2O2 reaction to shift closer to the electrode surface. This in turn causes the hydrogen peroxide flux to increase momentarily causing the Isig to increase before the Isig gradually dips.
In contrast, at the auxiliary working electrode 208 with a lower electrochemical surface area, there is less or no available evolved oxygen (O2rec). Thus, the reduction in tissue oxygen leads to an immediate and significant reduction in hydrogen peroxide. With no mechanism to generate more hydrogen peroxide, the Isig will dip instantly. Thus, the auxiliary working electrode becomes highly sensitive to decreases in oxygen.
In summary, if the Isig for the primary working electrode 206 starts increasing and the Isig for the auxiliary working electrode 208 starts rapidly decreasing, the onset of a decline in tissue oxygen is detected at the sensor placement site (local hypoxia).
At the time indicated by arrows 240, the glucose level is 300 mg/dL and the oxygen level is 0.1%. The recorded Isig values are appropriate for the relative sensor size. At the time indicated by arrows 242, the glucose level is 300 mg/dL and the oxygen level has risen to 1%. At the time indicated by arrows 244, the glucose level is 300 mg/dL and the oxygen level has risen to 5%. The signal change from time 240 to time 242 to time 244 indicates the increase in system oxygen, as the in vivo environment becomes conducive to glucose sensing. In practice, this signal change can indicate the entrance into an unreliable glucose in vivo sensing phase. At the time indicated by arrows 246, the glucose level has risen to 400 mg/dL and the oxygen level remains at 5%. At the time indicated by arrow 248, the oxygen level provided is reduced to 0.1%. This change in oxygen level causes an easily recognized change in Isig from the two sensors.
As may be seen, the Isig recorded by the auxiliary electrode immediately drops in response to the decreasing oxygen level. On the other hand, the Isig recorded by the primary working electrode temporarily increases in response to the decreasing oxygen level. At the time indicated by arrows 250, the glucose level is 400 mg/dL and the oxygen level has fallen to 0.1%. The signal change from time 246 to time 248 to time 250 indicates the decrease in system oxygen, as the in vivo environment become non-conducive to glucose sensing. This signal change can indicate the return of the sensor to a reliable glucose in vivo sensing phase.
As shown by
The power source may supply a same operating voltage to the primary working electrode 206 and the auxiliary working electrode 208. Alternatively, the power source may supply different operating voltages to the primary and auxiliary working electrodes. The primary working electrode 206 and auxiliary working electrode 208 may have an identical structure except for the difference in electrochemical surface area. For example, each working electrode 206 and 208 may have the structure 300 illustrated in
The embodiment shown in
The exemplary sensor electrode 102 includes conductive layers 304 which are disposed on and/or combined with the base layer 302. The base layer 302 and/or conductive layers 304 can be generated using many known techniques and materials. In certain embodiments, the electrical circuit of the sensor is defined by etching the disposed conductive layer 304 into a desired pattern of conductive paths. An electrically insulating layer 306 is formed around the conductive layers 304. For example, the electrically insulating layer 306 may be a polymer coating, such as non-toxic biocompatible polymers such as silicone compounds, polyimides, biocompatible solder masks, epoxy acrylate copolymers, or the like.
As shown, the conductive layers 304 are exposed through the insulating layer 306 to open the conductive layers 304 to the external environment and to, for example, allow an analyte such as glucose to permeate the layers of the sensor electrode 102 and be sensed by the sensing elements. Specifically, the conductive layers 304 include an electrode surface 224 on which hydrogen peroxide may be oxidized as described above.
In the configuration shown in
In embodiments, the analyte sensing layer 308 can be applied over portions of the conductive layers or over the entire region of the conductive layers. Typically the analyte sensing layer 308 is disposed on the working electrode which can be the anode or the cathode. Optionally, the analyte sensing layer 308 is also disposed on a counter and/or reference electrode. While the analyte sensing layer 308 can be up to about 1000 microns (μm) in thickness, typically the analyte sensing layer is relatively thin as compared to those found in sensors previously described in the art, and is for example, typically less than 1, 0.5, 0.25 or 0.1 microns in thickness. Some methods for generating a thin analyte sensing layer 308 include brushing the layer onto a substrate (e.g. the reactive surface of a platinum black electrode), as well as spin coating processes, dip and dry processes, low shear spraying processes, ink jetprinting processes, silk screen processes and the like. In certain embodiments, brushing is used to: (1) allow for a precise localization of the layer; and (2) push the layer deep into the architecture of the reactive surface of an electrode (e.g. platinum black produced by an electrodeposition process).
Typically, the analyte sensing layer 308 is coated and or disposed next to one or more additional layers. Optionally, the one or more additional layers include a protein layer disposed upon the analyte sensing layer 308. Typically, the protein layer includes a protein such as human serum albumin, bovine serum albumin or the like. In some embodiments, an additional layer includes an analyte modulating layer that is disposed above the analyte sensing layer 308 to regulate analyte contact with the analyte sensing layer 308. For example, the analyte modulating membrane layer can include a glucose limiting membrane, which regulates the amount of glucose that contacts an enzyme such as glucose oxidase that is present in the analyte sensing layer 308. Such glucose limiting membranes can be made from a wide variety of materials known to be suitable for such purposes, e.g., silicone compounds such as polydimethyl siloxanes, polyurethanes, polyurea cellulose acetates, Nafion, polyester sulfonic acids (e.g. Kodak AQ), hydrogels or any other suitable hydrophilic membranes known to those skilled in the art.
In certain embodiments, an adhesion promoter layer is disposed between the analyte modulating layer and the analyte sensing layer 308 in order to facilitate their contact and/or adhesion. For example, an adhesion promoter layer may be disposed between the analyte modulating layer and the protein layer in order to facilitate their contact and/or adhesion. The adhesion promoter layer can be made from any one of a wide variety of materials known in the art to facilitate the bonding between such layers. Typically, the adhesion promoter layer includes a silane compound. In alternative embodiments, protein or like molecules in the analyte sensing layer 308 can be sufficiently crosslinked or otherwise prepared to allow the analyte modulating membrane layer to be disposed in direct contact with the analyte sensing layer 308 in the absence of an adhesion promoter layer. In certain embodiments, additional layers such as an interference rejection layer may be included in the sensor 102.
In an exemplary embodiment, the conductive layers 304 include a first conductive layer 312, such as a metal layer. The first conductive layer 312 may be deposited on the base layer 302 by a deposition process such as sputtering. Sputtering can be carried out using commercially available sputtering reactors using an RF (radio frequency). Magnetron sputtering can also be used. Magnetron sputtering uses a magnetic field to concentrate electrons near the target surface to increase the deposition rate. Other known deposition processes, such as chemical vapor deposition (CVD) methods, can also be employed. The thickness of an exemplary deposited layer ranges from about 0.05μ to about 300.0μ, such as about 0.5μ to about 25.0μ. When multiple layers are deposited, the total thickness of the layers may have a thickness within the foregoing ranges.
A second conductive layer 314, such as a metal layer, may be formed over the first conductive layer 312. For example, the second conductive layer 314 may be deposited by a sputtering process or by other known deposition processes as described in relation to the deposition of the first conductive layer 312.
Exemplary metal layers for forming layers 312 and 314 include, without limitation, elemental metals such as chromium, gold, copper, aluminum, nickel, tantalum and titanium, alloys such as Inconel and Nichrome, and mixtures thereof. The term “metal layer” is also intended to encompass layers that include one or more non-metallic elements in a mixture or chemical combination with one or more metallic elements, and thus also encompasses materials such as oxides, for example alumina. Reactive as well as non-reactive layers can be formed; reactive materials, such as tantalum oxide, chromium oxide, etc., are also intended to be encompassed by the term “metal layer.” Specific combinations of metal layers that are useful include chromium and copper; copper and gold; and chromium, gold and chromium; copper, nickel and gold; and chromium, copper, nickel and gold.
In particular embodiments, chromium forms the first sputtered metal layer 312. Chromium provides an additional benefit in promoting adhesion between certain polymeric materials, such as polyimides, and other metals. Other metal layers, such as nickel or the like, that promote adhesion can also be employed if desired. In particular embodiments, gold forms the second sputtered metal layer 314.
As shown in
In
In certain embodiments, the primary working electrode 206 may have the structure 300 of the sensor electrode 102 in
In the embodiments described above, the auxiliary working electrode 208 monitors glucose levels in the same manner as the primary working electrode 206. Through the different responses in signals from the primary working electrode 206 and the auxiliary working electrode 208 produced by a change in oxygen at the sensor placement site, changes in oxygen levels are identified. Such changes may be used to temporarily disregard or further investigate blood glucose measurements by the electrodes 206 and 208 when a decrease in tissue oxygen is indicated.
In the embodiment of
In
The materials used in each of the components of structure 350 may be the same as in the structures 300 and 330. For example, the sputtered layer 312 may be chromium and the sputtered layer 314 may be gold.
As the electrode surface 224 is formed by sputtered layer 314 rather than the plated layer 316 of structures 300 and 330, the auxiliary working electrode 208 in
At the time indicated by arrows 360, 0.1 mg/dL of acetaminophen at 100 mg/dL glucose is injected at the sensor placement site. As a result, an approximately 800% increase in Isig is recorded by the auxiliary working electrode. On the other hand, a 15-20% increase in Isig is recorded by the primary working electrode. Thus, the response by the auxiliary working electrode is at least about 5 times larger, such as at least about 10 times larger, for example at least about 20 times larger, than the response by the primary working electrode. More specifically, the response by the auxiliary working electrode is at least about 30 times larger, such as about 40 times larger, than the response by the primary working electrode. The response of the auxiliary working electrode may be easily recognized as an indication of an increase in electroactive interferents at the sensor placement site.
Thus, the auxiliary working electrode 208 of
Unless specifically stated otherwise, as is apparent from the preceding discussion, it is to be appreciated that throughout this specification discussions utilizing terms such as “processing”, “computing”, “calculating”, “determining”, “estimating”, “selecting”, “identifying”, “obtaining”, “representing”, “receiving”, “transmitting”, “storing”, “analyzing”, “associating”, “measuring”, “detecting”, “controlling”, “delaying”, “initiating”, “setting”, “delivering”, “waiting”, “starting”, “providing”, and so forth may refer to actions, processes, etc. that may be partially or fully performed by a specific apparatus, such as a special purpose computer, special purpose computing apparatus, a similar special purpose electronic computing device, and so forth, just to name a few examples. In the context of this specification, therefore, a special purpose computer or a similar special purpose electronic computing device or apparatus may be capable of manipulating or transforming signals, which are typically represented as physical electronic and/or magnetic quantities within memories, registers, or other information storage devices; transmission devices; display devices of a special purpose computer; or similar special purpose electronic computing device; and so forth, just to name a few examples. In particular embodiments, such a special purpose computer or similar may include one or more processors programmed with instructions to perform one or more specific functions. Accordingly, a special purpose computer may refer to a system or a device that includes an ability to process or store data in the form of signals. Further, unless specifically stated otherwise, a process or method as described herein, with reference to flow diagrams or otherwise, may also be executed or controlled, in whole or in part, by a special purpose computer.
It should be noted that although aspects of the above apparatuses, methods, sensors, devices, processes, etc. have been described in particular orders and in particular arrangements, such specific orders and arrangements are merely examples and claimed subject matter is not limited to the orders and arrangements as described. It should also be noted that systems, devices, methods, processes, etc. described herein may be capable of being performed by one or more computing platforms. In addition, instructions that are adapted to realize methods, processes, etc. that are described herein may be capable of being stored on a storage medium as one or more machine readable instructions. If executed, machine readable instructions may enable a computing platform to perform one or more actions. “Storage medium” as referred to herein may relate to media capable of storing information or instructions which may be operated on, or executed by, one or more machines (e.g., that include at least one processor). For example, a storage medium may include one or more storage articles and/or devices for storing machine-readable instructions or information. Such storage articles and/or devices may include any one of several non-transitory media types including, for example, magnetic, optical, semiconductor, a combination thereof, or other storage media. By way of further example, one or more computing platforms may be adapted to perform one or more processes, methods, etc. in accordance with claimed subject matter, such as methods, processes, etc. that are described herein. However, these are merely examples relating to a storage medium and a computing platform and claimed subject matter is not limited in these respects.
Although what are presently considered to be example features have been illustrated and described, it will be understood by those skilled in the art that various other modifications may be made, and equivalents may be substituted, without departing from claimed subject matter. Additionally, many modifications may be made to adapt a particular situation to the teachings of claimed subject matter without departing from central concepts that are described herein. Therefore, it is intended that claimed subject matter not be limited to particular examples disclosed, but that such claimed subject matter may also include all aspects falling within the scope of appended claims, and equivalents thereof.
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Number | Date | Country | |
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20160345873 A1 | Dec 2016 | US |