DIGITAL MICROFLUIDIC LIQUID-LIQUID EXTRACTION DEVICE AND METHOD OF USE THEREOF

INCORPORATION BY REFERENCE

All publications and patent applications mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication or patent application was specifically and individually indicated to be incorporated by reference.

FIELD

The present invention relates to a method of the extraction and purification of liquids using digital microfluidics. More particularly, the invention relates to the extraction and purification of hormones using digital microfluidics.

BACKGROUND

Hormones are chemical messengers that transport a signal from one cell to another. They play important roles in regulation of physiological activities. The effects of hormones include stimulation or inhibition of growth, regulating metabolism, induction or suppression of programmed cell death, and controlling the reproductive cycle, just to name a few. Thus, there are a wide range of clinical conditions that require frequent monitoring of hormones in biological samples, such as blood or tissue, for proper diagnosis and treatment of physiological disorders associated with the hormones.

For example, sex steroids are steroid hormones which are fundamental for growth and reproduction, and disturbances in their physiological levels can cause a multitude of clinical disorders, including growth retardation, infertility, or hormone-sensitive cancers (e.g., breast, endometrial and prostate cancers) [1-4]. Moreover, exogenous sex steroids have been used for decades as contraceptives, hormone replacements, and fertility and anti-cancer therapies [5-9]. Estrogen is a steroidal sex hormone of fundamental importance for normal human growth, reproduction and in breast cancer development and progression.

Diagnostic assays for the measurement of sex steroids are of central importance to the management of a wide range of clinical conditions and also play a key role in many areas of epidemiological study. Many clinical applications, such as the monitoring of blood levels of estradiol and other hormones in women undergoing treatment for infertility, have spurred the development of highly automated and cost-effective immunoassays.

Unfortunately, modern immunoassays often lack the low limit of detection required for some clinical areas, including monitoring menopausal women, patients on anti-estrogen therapies [10], or children [11-13]. Indeed, these clinical segments often present cases where the required assay dynamic range falls below the practical detection limits of commercial assays. This lack of performance in commercial assays has been demonstrated in studies of multiple automated analyzers, where considerable variability has been observed in results for samples with low concentrations. This failure of modern automated assays for sex steroids to address the clinical requirements in patient segments presenting low concentrations has prompted the Endocrinology Society to issue a statement cautioning against the use of standard assays for low level testosterone measurements. In recent years, a consensus has emerged that mass spectroscopy provides the optimal performance for low level steroid measurement.

Despite the widespread acknowledgement of the utility of mass spectroscopy as a preferred diagnostic tool low level steroid measurements, one of the key problems that limits its practical performance is sample preparation. Assays for steroids in clinical samples often require extensive pre-processing to extract the analytes from the matrix (i.e., unwanted chemical constituents and insoluble tissue debris). This is the case for all tissue samples, whole blood, and plasma and for any samples (including serum) that are to be evaluated by mass spectrometry or indirect immunoassays. Moreover, such processing techniques are known to be especially important for accurate quantification in subjects with low hormone levels. Unfortunately, sample processing techniques for analysis of steroids (including lysis, homogenization, extraction, and resolubilization) are labor-intensive (wasting many hours of laboratory time [14, 15]), and are thus prone to human error. Furthermore, assays often require hundreds of milligrams of tissue [16, 17] or milliliters of blood [18], which is ill-suited for routine clinical testing.

One promising technology for improved sample preparation is digital microfluidics. Digital microfluidics is a new technology in which discrete unit droplets are manipulated in air on the open surface of an array of electrodes by applying voltages to the electrodes [19]. Sample and reagent droplets with volumes of less than one microliter can be moved in multiple and reconfigurable paths defined by the actuation sequence of an array of electrodes. The mechanism for fluid motion depends on a host of factors and may be due to electrowetting or dielectrophoresis. Unlike conventional microfluidics, digital microfluidics enables the transport, mixing, merging and dispensing from reservoirs of single isolated droplets. The technology has been demonstrated for diverse applications including cell based assays, enzyme assays, protein profiling, and polymerase chain reaction [41].

Digital microfluidic arrays are typically made by depositing an array of electrodes onto a first planar surface and subsequently coating the surface with a layer of a hydrophobic insulator such as Teflon-AF. Electrical contact pads are connected to the electrodes, enabling the electrodes to be individually addressed. Sample and reagent reservoirs are incorporated into the array by including electrodes capable of supporting more than one unit droplet of fluid. Unit droplets can be extracted from reservoirs by actuating electrodes adjacent to the reservoir.

In a closed digital microfluidic array, a second planar surface, onto which a single planar electrode is typically deposited and subsequently coated with a layer of a hydrophobic insulator, is placed parallel to the first planar surface, forming a planar air gap. Accordingly, droplets are sandwiched between the two surfaces. Fluid droplets placed on the array elements (i.e. on the insulating layer directly above an array electrode) can be made to move by applying a voltage between an array electrode and the single planar electrode. Alternatively, an open digital microfluidic array can be formed with the first surface alone, where droplets are moved by applying a voltage between neighbouring electrodes.

While digital microfluidic systems have been successfully developed for a wide range of practical uses, the prior art has not provided a method of adapting their use to the efficient extraction of sex steroids or other hormones from biological samples. Thus, there is a need for a fast, economical and reliable method for analysis of hormone extraction and analysis in biological samples using digital microfluidics.

SUMMARY OF THE DISCLOSURE

The aforementioned need is addressed herein by providing devices and methods for liquid-liquid extraction using digital microfluidic arrays. In a first embodiment, a polar droplet is transported to a separation region of a digital microfluidic device, where a substantially non-polar solvent is retained over an extraction portion of the digital microfluidic array. By transporting a droplet of a polar liquid to the separation region, non-polar impurities may be extracted from the polar droplet while maintaining a distinct phase separation.

Accordingly, in a first aspect of the invention, a method is provided of separating a non-polar species from a substantially polar droplet using a digital microfluidic device, the device comprising an input array, a separation array in flow communication with the input array, and an output array in flow communication with the separation array, wherein the input array, the separation array and the output array each comprise at least one digital microfluidic element, the device further comprising a substantially non-polar liquid retained over the separation array, the method comprising the steps of:

actuating the device to transport the droplet from the input array to the separation array, wherein the species is extracted from the droplet while maintaining the droplet as a distinct liquid phase within the substantially non-polar liquid; and

actuating the device to transport the droplet from the separation array to the output array.

In another aspect of the invention, a digital microfluidic device is provided for the separation of a non-polar species from a substantial polar droplet to a substantially non-polar liquid, the device comprising:

a substrate;

an input array comprising at least one digital microfluidic element formed on the substrate;

a separation array in flow communication with the input array, the separation array comprising at least one digital microfluidic element formed on the substrate;

a retaining means for retaining a substantially non-polar liquid over the separation array, wherein the droplet may be transported among elements of the separation array and within the non-polar liquid while maintaining a separate liquid phase, and wherein the species may be extracted from the droplet into the substantially non-polar liquid while transporting the droplet;

an output array in flow communication with the separation array, the output array comprising at least one digital microfluidic element formed on the substrate; and

contact means for individually electrically addressing the digital microfluidic elements.

In a preferred embodiment, the retaining means comprises a wall means, said wall means surrounding a portion of said separation array, wherein said wall means does not interrupt the path of said droplet as it is transported to and from said separation array. In one embodiment, the wall means may comprise a raised portion of the substrate, or a raised portion of photoresist.

In another aspect of the invention, there is provided a method for the extraction of hormones from biological samples using a digital microfluidic array. The method is performed by drying biological samples containing hormones on a digital microfluidic array, lysing the sample with a lysing solvent, drying the lysate, subsequently dissolving the lysate in a polar solvent, and further purifying the polar solution in a separation step in which droplets are transported through a volume of non-polar solvent.

Accordingly, an embodiment of the invention provides a method of extracting a hormone from a biological sample using a digital microfluidic device, the device comprising an input array, a separation array in flow communication with the input array, and an output array in flow communication with the separation array, wherein the input array, the separation array and the output array each comprise at least one digital microfluidic element, the device further comprising a substantially non-polar liquid retained over the separation array, the method comprising the steps of:

a) drying the biological sample at a sample reservoir in fluid communication with the input array;

b) adding a volume of lysing liquid to a reservoir in fluid communication with the input array and actuating the device to transport the volume of lysing liquid to the sample reservoir, and drying the lysing liquid at the sample reservoir;

c) adding a volume of polar liquid to a reservoir in fluid communication with the input array and actuating the device to transport the volume of polar liquid to the sample reservoir, thereby obtaining a solution in which the hormone is dissolved; and

d) actuating the device to transport a droplet of the solution to the separation array, wherein a non-polar impurity is extracted from the droplet while maintaining the droplet as a distinct liquid phase within the substantially non-polar liquid; and

e) actuating device to transport the droplet from the separation array to the output array.

A further understanding of the functional and advantageous aspects of the invention can be realized by reference to the following detailed description and drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

The novel features of the invention are set forth with particularity in the claims that follow. A better understanding of the features and advantages of the present invention will be obtained by reference to the following detailed description that sets forth illustrative embodiments, in which the principles of the invention are utilized, and the accompanying drawings of which:

FIG. 1 illustrates a liquid-liquid separation device according to a preferred embodiment.

FIG. 2 shows a flow chart describing a method of extracting a hormone from a biological sample using a digital microfluidic (DMF) device;

FIG. 3 provides a schematic of the DMF device, which includes sample and solvent reservoirs and the liquid-liquid separation zone;

FIG. 4 shows a series of frames from a movie (1-8) illustrating the key steps in the DMF-based extraction of estrogen from a droplet of human blood (1 μL);

FIG. 5 shows mass spectra of raw and DMF-extracted samples, representative spectra generated from (a) blood and (b) serum obtained from a female volunteer at different days of the menstrual cycle in which the insets show that the estrogen fragment at m/z 183 is detected in extracted samples but not in raw samples;

FIG. 6 shows LC-MS/MS analysis of DMF-extracted samples showing extracted-ion current (XIC) chromatograms generated by LC-MS/MS with multiple reaction monitoring from μL samples of (a) estradiol standard solution (2 mg/mL), (b) breast tissue of a postmenopausal patient with breast cancer, and (c) whole blood. The estradiol-specific ion pair evaluated for XIC was m/z 271/145;

FIG. 7 shows plots of Recovery (%) versus concentration showing extraction efficiency analysis by ELISA, in which estradiol standards before and after extraction were evaluated by ELISA; and

FIG. 8 shows mass spectra (MS1) of DMF extracted of 54 droplet of a standard mix of three steroid hormones including progesterone (m/z 315), testosterone (m/z 289) and androstenedione (m/z 287).

FIG. 9 shows plots of Recovery (%) representing the efficiency of extraction of the DMF for each of progesterone, testosterone and androstenedjone. The efficiency of extraction was evaluated by mass spectrometry using deuterated internal standards for each analyte.

FIG. 10 shows the LC-MS/MS analysis of DMF-extracted 54 droplet mixture of multiple hormones showing total-ion count (TIC) chromatograms generated by LC-MS/MS with multiple reaction monitoring. The chromatogram peaks shows the extracted hormones including 16 alpha hydroxyl estrone (m/z 285), Estriol (m/z 287), Estradiol (m/z 271) and Estrone (m/z 269).

FIG. 11(a) is a picture of 500 mg of breast tissue collected by incisional biopsy (representing the sample size required for conventional analysis methods) compared to a 1 μL microaspirate collected using a 30 ga. needle (representing the sample size used with the new method), and (b) shows pictures of breast tissue microaspirate (1 μL) being lysed on the DMF device and of the dried estrogen extracted from it.

DETAILED DESCRIPTION

Generally speaking, the systems described herein are directed to devices and methods for separating a species from a liquid using digital microfluidics. As required, embodiments of the present invention are disclosed herein. However, the disclosed embodiments are merely exemplary, and it should be understood that the invention may be embodied in many various and alternative forms. The Figures are not to scale and some features may be exaggerated or minimized to show details of particular elements while related elements may have been eliminated to prevent obscuring novel aspects. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting but merely as a basis for the claims and as a representative basis for teaching one skilled in the art to variously employ the present invention. For purposes of teaching and not limitation, the illustrated embodiments are directed to devices and methods for the extraction of hormones from a sample using digital microfluidics.

A first embodiment provides a device for liquid-liquid extraction of a species on a digital microfluidic array. FIG. 1 illustrates the digital microfluidic device 5, which comprises surface 10, onto which the array of electrodes are deposited and subsequently coated with a hydrophobic insulator, thereby forming digital microfluidic array elements. The hydrophobic insulator is commonly Teflon-AF. Electrical contact pads (not shown) are connected to the individual electrodes, enabling the electrodes to be individually addressed. Such contact pads are preferably addressed by a controller, such as a computer, for coordinating the motion of droplets on the array. The electrodes are arranged adjacent to each other in a plane to form a path over which fluid can be transported. The path may be one-dimensional (as shown) or two-dimensional. Sample and reagent reservoirs (not shown) are preferably incorporated into the array by including electrodes that are capable of supporting more than one unit droplet of fluid. Unit droplets can be extracted from reservoirs by actuating an electrode adjacent to the reservoir.

Referring again to FIG. 1, the digital microfluidic array is shown further comprising an input array 15, and output array 20, and a separation array 25. Actuation of the input array enables the delivery of a liquid droplet to the separation array 25, and actuation of the output array enables the delivery of a liquid droplet from the separation array 25 to the output array.

As shown in FIG. 1, a substantially non-polar liquid 30 is provided over the separation array 25. The non-polar liquid is preferably retained by a liquid retaining means, such as boundary wall 35 that partially encloses separation array 25 without impeding the entrance and exit of droplets from the input and output array, respectively. Those skilled in the art will appreciate that a variety of retaining means may be employed, such as, but not limited to, surface tension, a change in the surface chemistry or surface texture, surface patterning, and a recessed region forming a shallow well area. In one embodiment, a shallow well may be formed having a depth that increases relative to the distance from the input and output apertures, enabling a smooth transition for droplets actuated by the array electrodes.

The device operates by actuating the electrodes of the input array 15 to transfer a droplet comprising a substantially polar liquid to the separation array 25. Due to the difference in the polarity between the droplet and the substantially non-polar liquid 30 retained over the separation array, the droplet may be actuated and transferred within the solvent while maintaining a distinct phase. Accordingly, the droplet may be further transferred out of the separation zone by array actuation, and transported onto the output array 20, for example, for further processing or use.

The device may be used for the separation of a non-polar species from a droplet into the substantially non-polar liquid. In a preferred embodiment, the device enables the purification of a droplet by extracting a non-polar species or cross-reactant into the substantially non-polar liquid. This preferred embodiment is discussed in further detail below with reference to an exemplary yet non-limiting hormone purification method and device.

During a separation or purification step, the separation array is preferably actuated to circulate the droplet relative to the retained liquid to improve the separation efficiency. FIG. 1 illustrates an embodiment involving a linear separation array, which in which the circulation may be achieved by a varying the direction of droplet motion. It is to be understood that a wide variety of array configurations are possible for the separation array, for example, configurations enabling the circulation of the droplet in a two-dimensional path. In another embodiment, the separation array may be sufficiently large to enable the parallel separation from two or more droplets.

The device and methods can be extended for the extraction of other analytes (i.e., peptides, amino acids, DNA, RNA, metals, drugs, hormones, and proteins) using the combination of various solvents (i.e., phenol, cyclohexane, hexane, chloroform, isooctane, methanol, diethyl ether, dichloromethane, ethyl acetate, acetone, methanol, isopropanol, acetonitrile, acetic acid, and water).

While the preceding embodiments have been disclosed in the context of an open digital microfluidic platform, the device may alternatively comprise a closed array. In a closed digital microfluidic array, a second planar surface, onto which a single planar electrode is typically deposited and subsequently coated with a layer of a hydrophobic insulator, is placed parallel to the first planar surface, forming a planar air gap. Fluid droplets placed on the array elements (i.e. on the insulating layer directly above an array electrode) can be made to move by applying a voltage between an array electrode and the single planar electrode. Alternatively, an open digital microfluidic array can be formed with the first surface alone, where droplets are moved by applying a voltage between neighbouring electrodes.

In one embodiment, the method of the invention is performed with a closed digital microfluidic array as described above. The electrodes are preferably square in shape with sides having a length of about 1 to 2 μm, and more preferably 1.5 μm. Accordingly, the array electrodes are preferably able to transport unit droplets with a volume in the range of about 200-400 nl. The spacing between electrodes is preferably in the range of about 20-60 μm, and more preferably about 40 μm. The gap between the upper and lower planes of the closed digital microfluidic array is preferably in the range of about 50-250 μm, and more preferably about 100 μm. However, the method can be performed with a wider range of droplet volumes, for example, 10 picoliters to 3 mL. Likewise, the size and dimension of the electrode can vary depending on each application.

In an exemplary but non-limiting embodiment, a method of extracting hormones from biological sample is provided using a digital microfluidic array, where the biological sample take on a wide range of forms, including, but not limited to, blood, blood, serum, plasma, urine and tissue. Advantageously, selected embodiments do not rely on large sample volumes and detectable hormone levels may be efficiently extracted from sample volumes of 1 μL or lower.

The main steps of the method are provided in the flowchart shown in FIG. 2. The method is performed by drying and lysing a biological sample, extracting the hormones into a polar solvent, and purifying the solution of extracted hormone in polar solvent by moving droplets of the solution through a non-polar solvent. Fluidic transport is achieved using a digital microfluidic array to move individual droplets of fluid between reservoirs. The flowchart in FIG. 2 is described in connection with FIG. 3, which illustrates a preferred embodiment of a digital microfluidic extraction device.

Referring to FIG. 3, the device 100 preferably includes a sample reservoir 110 and one or more reagent reservoirs 120, 130. The reservoirs preferably support a volume greater than one unit droplet. In one embodiment, the reservoir electrodes are sufficiently large to accommodate a volume of about 1 μL of fluid. The array comprises a series of electrodes 125 forming a path for translating droplets.

As shown in the first step 50 of FIG. 2, sample is introduced to the microfluidic digital array and allowed to dry at the sample reservoir 110. As described above, the sample may be a liquid biological sample, or may be a tissue sample such as breast tissue. Preferably, the sample volume is in the microliter range, for example, 1-20 μL, and more preferably is about 1 μL, which is advantageously much lower than the sample volumes required by prior art sample preparation methods. Samples and reagents including solvents may be added to the array through multiple means, including the lateral opening between the two planar surfaces, or through access ports in the upper surface.

After the sample has dried, a lysing solvent is added to a reservoir 120 (as shown in FIG. 3) on the array in step 55. The array is actuated in step 60 by applying a voltage to transport the lysing solvent to the sample reservoir in order to lyse the dried sample. The array is preferably actuated so that lysing solvent is transported dropwise to the sample reservoir, until the lysing solvent at the lysing reservoir has been consumed. The lysing solvent is subsequently allowed to dry. In a preferred embodiment, this step of adding lysing solvent, transporting the lysing solvent to the sample reservoir, and drying the lysing solvent, is repeated one or more times to achieve efficient lysing of the sample (as indicated by the dashed arrow in FIG. 2).

Although many sample matrixes require lysing of cells, the extraction of hormones from certain matrices, such as urine, plasma and serum, may not require a lysing step. Accordingly, an embodiment of the present invention does not require the aforementioned lysing step for sample matrices that do not contain significant amounts of biological cells. Alternatively, the lysing step may be carried out in a separate process step prior to performing the extraction method.

A volume of polar solvent is then added to a reservoir 130 (FIG. 3) on the array in step 65. The reservoir may be a dedicated reservoir for the polar solvent, or may be the same reservoir as that used to dispense the lysing solvent in the preceding step of the method. The array is actuated to transport the polar solvent in a dropwise fashion to the sample reservoir. Once transported to the sample reservoir, the polar solvent solubilizes the hormones present in the dried sample, forming a polar solution containing solubilised hormones.

The method further involves a separation step in which non-polar contaminants are removed from the polar solution. This is achieved by passing droplets of the polar solution through a non-polar solvent shown at 140 in FIG. 3. The polar and non-polar solvents are preferably chosen to ensure that a droplet of polar solvent may pass through a volume of non-polar solvent while maintaining its droplet phase, thereby enabling the separation of non-polar contaminants into the non-polar solvent while maintaining a droplet form that can be addressed and transported by the digital microfluidic array.

Liquid-liquid extraction is obtained by solubilities in two different immiscible liquids. Polar solutes (for example, hormones) dissolve preferentially in the more polar solvent (for example, methanol) while non-polar solutes (contaminants) will dissolve in non-polar solvent. In a preferred embodiment, the non-polar solvent is added subsequent to the preceding step of adding the polar solvent to the array. In another embodiment, the non-polar solvent is added to the separation reservoir at substantially the same time that the polar solvent is added to the array.

In one embodiment, the lysing solvent is a solution of about 80% dichloromethane and about 20% acetone by volume. Alternatively, the polar solvent can be methanol, and the non-polar solvent can be 2,2,4-Trimethylpentane (isooctane), or any solvent with dielectric point less than about 15. However, embodiments as disclosed herein are not limited to particular use of the solvents. Instead, the solvents and their volumes can vary depending on the analyte of interest and the type of biological sample analyzed.

Accordingly, the digital microfluidic array further includes a separation reservoir comprising one or more electrodes 150. In a preferred embodiment, the separation reservoir includes multiple electrodes. Also, the separation reservoir preferably includes a wall 160 to contain a volume of the non-polar solvent within the vicinity of the electrodes, where the wall does not interrupt the transport of liquid droplets into and out of the separation reservoir. The wall need not form a contiguous boundary around the separation reservoir, but should occupy a sufficient portion of a perimeter around the separation reservoir to maintain the non-polar volume within the reservoir.

The separation of non-polar contaminants from the polar solution is therefore accomplished by transporting a droplet of the polar solution from the sample reservoir to the separation reservoir (step 70), where the presence of the non-polar solvent enables the separation of contaminants from the droplet. Subsequently, the droplet is transported to an output reservoir 170 in step 80 by actuation of the array. In a preferred embodiment, the droplet is circulated in step 75 within the separation reservoir (by actuation of the array) one or more times to further assist in the removal of contaminants, before being transported to the output reservoir. In one embodiment, the electrodes within the separation reservoir are arranged in a single row, as shown in FIG. 1. In another embodiment, the electrodes are arranged in multiple rows. It should be noted, however, that the electrodes can be arranged in any design and shape depending on application. This process of extracting contaminants from the polar solution is preferably repeated until the polar solution residing at the sample reservoir has been substantially depleted, as shown by the dashed arrow in FIG. 2. In a preferred embodiment, the process steps from the addition of the polar solvent to the transfer of all polar solution to the output reservoir are repeated one or more times to obtain optimal extraction of hormones.

In an alternative embodiment, the method may be performed using an open microfluidic array. When performing the inventive method using an open microfluidic array, method steps should be performed sufficiently rapidly to enable the transport, mixing, separation and solubilisation steps prior to the evaporation of reagents.

The hormones can be lipid hormones (for example, steroid hormones, sterol hormones and prostaglandins), amine derived hormones, peptide and protein hormones. The steroid hormones are selected from the group consisting of estrogens, androgens, progestagen, glucocorticoids and mineralocorticoids. According to one embodiment of the invention, the steroid hormone is sex steroid, preferably estrogen or testosterone. Estrogen includes estradiol, estrone, estriol, estrogen metabolites, phytoestrogens, synthetic estrogens (such as equilin, equilenin, ethinyl estradiol) and bio-identical estrogens. Preferably, estrogen is estradio. Embodiments of the invention may also be employed for the detection of synthetic substances, such as anabolic steroids, and therefore useful in a steroid test in athletes.

In a preferred embodiment, a method is also provided for the extraction and subsequent assaying of one or more hormones from a biological sample. The assay may be immunoassays such as ELISA, EIA, RIA, lateral flow and flow-through formats. Preferably, the assay method is mass spectroscopy, and more particularly is GC/MS, LC/MS, LC/MS/MS, MALDI-MS or MALDI-TOF.

In one embodiment, the extracted solution (after being transported to the output reservoir) may be dried, following which step an assay buffer prior may be added to solubilize the extracted hormones into a buffer that is preferable for performing an assay.

The assay may be used to measure the concentration of one or more hormones in the biological sample. The concentration of a given hormone in the biological sample can be obtained from the measured concentration of the hormone in the extracted solution (or assay buffer) by multiplying the concentration obtained from the assay by a factor equal to the ratio of a the volume of the extracted solution (or assay buffer) to the volume of biological sample.

Embodiments of the present invention will now be illustrated with the following non-limiting and exemplary example of extraction and detection of estrogen from μl samples, but it will be appreciated that embodiments of the invention are not limited to estrogen or the solvents, solutions being used for estrogen extraction.

The inventive method is compatible with a range of clinical samples, including tissue, blood, serum, urine, plasma, follicular fluid, endometrial fluid, pelvic fluid, semen and cerebrospinal fluid. The tissue can be breast tissue, endometrial tissue, ovarian tissue, vaginal tissue, testicular tissue, prostate tissue, adipose tissue, brain tissue, liver tissue, hair and skin.

Example
Extraction and Detection of Estrogen from μL Samples

A digital microfluidic (DMF) device as illustrated in FIG. 3 was used for estrogen extraction. FIG. 4 shows a series of frames from a movie (1-8) illustrating the key steps in the DMF-based extraction of estrogen from a droplet of human blood (1 μL). As shown, a sample 200 is lysed with lysing solvent 210 and dried The estradiol is extracted into a polar solvent 220 (methanol). Subsequently, unwanted constituents are extracted from an estradiol-containing polar solvent droplet 240 into a non-polar solvent 250 (isooctane) bounded by a photoresist wall 260, and the purified solution 270 is delivered to a collection reservoir 280. Among the remarkable features of this technique is the ease with which the methanolic phase is separated from the isooctane phase after liquid-liquid separation (as shown in frame 7).

Device Fabrication

The digital microfluidic devices as illustrated in FIG. 3 were fabricated in the University of Toronto Emerging Communications Technology Institute (ECTI) clean room facility, using transparency photomasks printed at City Graphics (Toronto, ON). Glass wafers (Howard Glass Co. Inc., Worcester, Mass.) were cleaned in piranha solution (10 min), and coated with chromium (150 nm) by electron beam deposition (BOC Edwards, Wilmington, Mass.). After rinsing (acetone, methanol, DI water) and baking on a hot plate (115° C., 5 min), substrates were primed by spin-coating HMDS (3000 rpm, 30 s) and then spin-coating Shipley S1811 photoresist (3000 rpm, 30 s). Substrates were baked on a hot plate (100° C., 2 min) and exposed (35.5 mW/cm2, 4 s) through a transparency photomask using a Karl Suss MA6 mask aligner (Garching, Germany). Then substrates were developed (MF321 developer, 3 min) and postbaked on a hot plate (100° C., 1 min). After photolithography, exposed chromium was etched (CR-4, 2 min) and the remaining photoresist was stripped by sonicating in AZ300T (5 min).

After forming electrodes and cleaning in piranha solution (30 s), a photoresist wall was formed, using methods similar to those reported by Moon et al. [20]. Briefly, substrates were spin-coated with SU-8-25 (500 rpm, 5 s, then 1000 rpm, 30 s), baked on a hotplate (65° C., 5 min, then 95° C., 15 min), and then exposed to UV light (35.5 W/cm2, 7 s). After baking (65° C., 1 min, then 95° C., 4 min), and developing in SU-8 developer, substrates were coated with 2 μm of parylene-C and 100 nm of Teflon-AF. Parylene-C was applied using a vapor deposition instrument (Specialty Coating Systems, Indianapolis, Ind.) and Teflon-AF was spin-coated (1% by weight in Fluorinert FC-40, 1000 rpm, 1 min) followed by baking on a hot plate (160° C., 10 min). The polymer coatings were removed from contact pads by gentle scraping with a scalpel to facilitate electrical contact for droplet actuation. In addition to patterned devices, unpatterned indium-tin oxide (ITO) coated glass substrates (Delta Technologies Ltd, Stillwater, Minn.) were coated with Teflon-AF using the conditions described above.

The DMF device design of FIG. 3 included three input reservoir electrodes (3.5×3.5 mm) for the raw sample, lysing solvent, and polar extraction solvent, respectively, and a fourth reservoir electrode for collection of the processed sample. Actuation electrodes (1.5 mm×1.5 mm with a 40 μm inter-electrode gap) formed a path linking the input reservoirs, which passed through a fifth reservoir (delineated by a photoresist wall) containing non-polar solvent. Devices were assembled with an unpatterned ITO-glass top plate and a patterned bottom plate separated by a spacer formed from one or two pieces of double-sided tape (90 or 180 μm thick). Thus, depending on the spacer thickness, reservoir volumes were ^˜1.1 or 2.2 μL, and unit droplets (covering a single actuation electrode) were ^˜200 or 400 nL. A single spacer was used to process standard solutions of estradiol, while a double spacer was used for blood, serum, and tissue. Droplets were sandwiched between the two plates and actuated by applying AC potentials (18 kHz, 100 V) between the top electrode (ground) and sequential electrodes on the bottom plate via the exposed contact pads. Droplet motion was monitored by a CCD camera mated to an imaging lens positioned over the top of the device.

Further details of DMF devices and methods of construction and use of detectors associated therewith are disclosed in copending U.S. patent application Ser. No. 12/285,020 filed Sep. 26, 2008, U.S. patent application Ser. No. 12/285,567 filed Oct. 8, 2008, and U.S. Provisional Patent Application Ser. No. 61/136,896 filed Oct. 10, 2008, all of which are incorporated herein by reference in their entirety. These US patent references show various DMF devices and methods of manufacture.

As noted above, an array of separated electrodes which are independently activated by a controller, connects a series of reservoirs containing the sample and reagents. The process of estrogen extraction from a microliter of human blood is depicted in the movie frames of FIG. 4. As shown, in typical assays, samples were lysed, the estradiol was extracted into a polar solvent (methanol), unwanted constituents were extracted into a non-polar solvent (isooctane), and the purified solution was delivered to a collection reservoir. In addition to blood, the device and method illustrated in FIG. 3 is compatible with serum, breast tissue, and standard solutions, as described hereinafter.

Blood samples were collected from a healthy female volunteer on 5 different reproductive cycles (mid luteal phase). Serum was obtained by centrifugation of fresh blood samples at 800 RPM for 5 minutes, and both were kept at −20° C. until analysis. Breast tissue was obtained from apparently normal areas adjacent to breast cancer during surgery in two postmenopausal breast cancer patients and kept at −80° C. until analysis. Human ethics approvals were obtained from Mount Sinai Hospital and the Ontario Tumor Bank Research Ethics Boards (Toronto, Ontario, Canada).

Chemicals and Reagents

Dichloromethane (DCM) and 2,2,4-Trimethylpentane (Isooctane) 99.8% and HPLC-grade water were purchased from Sigma (Oakville, ON). Methyl alcohol (Methanol, HPLC grade) was from Fisher Scientific (Ottawa, ON). Estradiol (17-beta), Estrone, Testosterone and Androstenedione, deuterated Testosterone and deuterated androstenedione, were purchased from Steraloids Inc. (Newport, R.I.). Progesterone, Estriol, and 16-alpha-hydroxy estrone were purchased from Sigma (Oakville, ON). Deuterated progesterone was purchased from ICDN isotopes (Quebec, Canada). Estradiol EIA ELISA kits were from ALPCO Diagnostics (Salem, N.H.). Shipley S1811 photoresist and MF321 developer from Rohm and Haas (Marlborough, Mass.), AZ300T photoresist stripper from AZ Electronic Materials (Somerville, N.J.), parylene C dimer from Specialty Coating Systems (Indianapolis, Ind.), Teflon-AF from DuPont (Wilmington, Del.), solid chromium from Kurt J. Lesker Canada (Toronto, ON), CR-4 chromium etchant from Cyantek (Fremont, Calif.), hexamethyldisilazane (HMDS) from Shin-Etsu MicroSi (Phoenix, Ariz.), concentrated sulfuric acid and hydrogen peroxide (30%) from Fisher Scientific Canada (Ottawa, ON), Fluorinert FC-40 from Sigma (Oakville, ON), and SU-8 and SU-8 developer from MicroChem (Newton, Mass.). Piranha solution was prepared as a 3/1 v/v mixture of sulfuric acid/hydrogen peroxide.

Methodology of Digital Microfluidic (DMF) Estrogen Extraction

Two DMF-driven estrogen extraction techniques were developed; Method I, used in most experiments, comprised four steps. First, an aliquot of whole blood, serum, breast tissue homogenate, or estradiol standard solution was positioned in the sample reservoir of a device. The sample can be added to the device by pipetting, microchannel based capillary suction, direct sample deposition, paper/tissue absorption and microneedle.

Standard solutions were used immediately, and blood, serum, or tissue homogenate samples were allowed to dry to the surface. The top plate was then affixed and the solvents (DCM/acetone 80:20 v/v as lysing solvent, methanol as polar extracting solvent, and isooctane as non-polar extracting solvent) were loaded. Second, a series of reservoir volumes (9×1.1 μL or 5×2.2 μL) of DCM/acetone was dispensed and driven by DMF drop-wise to the sample, each of which was allowed to incubate until dry (^˜1 min per reservoir volume). Third, a reservoir volume of methanol (1.1 or 2.2 μL) was dispensed and driven by DMF to the dried lysate to dissolve the steroids. The dispensing can be carried out by, for example, pipetting.

It will be understood that the examples listed herein uses a limited list of solvents, but in general, depending on the extraction being undertaken, there is a broad spectrum of solvents, acids, alkalis and combination of solvents as well as solvent volumes that can be used according to the analyte of interest and the type of biological sample analyzed. Also, the arrangement of solvents in the reservoirs can be switched alternatively according to the polarity of the analyte of interest.

A unit droplet of the dissolved sample (200 or 400 nL) was dispensed and delivered by DMF to the isooctane reservoir and circulated within the pool (^˜20 s) prior to driving the droplet to the collection reservoir. This process was repeated until the sample reservoir was empty. Fourth, step three was repeated with successive reservoir volumes of methanol (for a total of 9×1.1 μL or 5×2.2 μL) to be sure to extract all of the free estradiol. Finally, all purified droplets were pooled in the output reservoir and allowed to dry.

In Method II, used to analyze percent recovery and experimental precision by ELISA, a standard solution of estradiol in methanol (1 μL) was positioned in the sample reservoir and the top plate was affixed (the lysis and polar solvent reservoirs remained empty). In each experiment, a single unit droplet (200 nL) of sample was dispensed, translated (and circulated) through isooctane, and delivered to the collection reservoir, all by DMF. The sample reservoir was then washed (manually) with methanol three times, and a fresh sample was positioned in the reservoir, and the process was repeated (twice), such that 3 purified droplets from replicate samples (i.e. ^˜600 nL total volume) were pooled in the collection reservoir and allowed to dry.

For all experiments, after collecting and drying the purified estrogenic solution, devices were stored at −20° C. Immediately prior to analysis, each extract was resolubilized in an aliquot (30 μL) of methanol/DCM (2:1 v/v), which was then dispensed into a small centrifuge tube. The solvent was then evaporated and the dry extract was reconstituted in a medium specific for the desired analysis.

Detection by Mass Spectrometry

Mass spectrometry was used to evaluate the performance of the DMF clean-up process in samples of whole blood or serum (obtained at two different days of the reproductive cycle). In each experiment, a 5 μL sample was dried and extracted by DMF (method one, as above), and the extract was reconstituted in 50 μL of methanol containing formic acid (0.1% v/v). Control (non-extracted) samples were prepared by drying and reconstituting 5-μL aliquots of blood or serum in 50 μL of methanol/formic acid (0.1% v/v), sonicating (10 min), and passing through a syringe filter (nylon membrane, 0.2 μm pore dia.). Samples were injected by nanoelectrospray into an LTQ Mass Spectrometer (Thermo Scientific, Waltman, Mass.) operating in the negative mode at 250° C. with a flow rate of 0.5 μL/min. Replicate spectra were obtained for DMF-extracted and control samples of both blood and serum.

Liquid chromatography and tandem mass spectrometry (LC-MS/MS) with multiple reaction monitoring (MRM) was used to evaluate estradiol in extracts from standard solutions, as well as in whole blood and breast tissue samples. Standard solutions (1 μL, 2 mg/mL in methanol) and blood (dried from 1 μL) were extracted by DMF (method one, as above) with no prior processing, while breast tissue (400 mg) was manually homogenized in DCM (1 mL), from which 1 μL samples were dried and processed similarly. In all cases, after extraction, samples were resuspended in 100 μL of methanol:water (20:80 v/v) and injected onto an HPLC (HP-Agilent 1100 series LC) interfaced by electrospray to a QTRAP LC-MS/MS (Applied Biosystems, Foster City, Calif.). The samples were analyzed in negative mode with multiple reaction monitoring, evaluating m/z 271 and 145 as an estradiol ion pair 21 to determine the extracted-ion current (XIC). Operating parameters included 300 μL/min flow rate, 4200 V spray potential, 60 collision energy and 400° C. temperature.

Detection by ELISA

An estradiol-specific ELISA was used (a) to evaluate the recovery and precision of the DMF method, and (b) to quantify estradiol in breast tissue samples. In these experiments, at least 3 replicate samples were evaluated for each condition by absorbance, measured at 450 nm using a μQuant microplate spectrophotometer (Bio-Tek, Instruments, Winooski, Vt.). The optical densities of samples and controls were compared with those of ELISA calibrator solutions using a standard curve to calculate estradiol concentrations as per the manufacturer's instructions.

For application (a), analysis of recovery and precision, the samples comprised serial dilutions of estradiol standard (500, 250, 100, and 3.3 ng/mL) in methanol. DMF-extracts of 3×1 μL samples were prepared using method two (as above), and for comparison, (non-extracted) control samples were prepared using the same procedure, but in devices lacking isooctane. After extraction, samples were resuspended in a 50-μL mixture of de-esterified serum (ALPCO Diagnostics) and methanol (4:1 v/v) and evaluated by ELISA. Recovery percentages were calculated as the inverse of the optical densities from extracted samples divided by those from non-extracted controls. For application (b), 1-μL samples of breast tissue homogenate (200 mg) in DCM (0.5 ml) from a breast cancer patient (a different patient than the one evaluated by MS) were processed manually (as above) and extracted by DMF using method one. The extricate was reconstituted in a 50-μL mixture of deestrified serum/methanol mixture (4:1 v/v) and was evaluated by ELISA.

DMF Extraction of Multiple Steroid Hormones

As described below, methods are provided for the use of a DMF chip to extract mixtures of multiple other steroid hormones. To achieve separation, devices and method as described in the aforementioned embodiments were used (the same extraction method was used as detailed above for estradiol). Two groups of hormones were studied. The first included a mix of Progesterone (P), Androstenedione (A) and Testosterone (T). The second included a mix of (Estrone (E1), Estradiol (E2), Estriol (E3) and 16-alpha-hydroxy-estrone (16-alpha-OH-E1).

The detection and efficiency of extraction of the DMF was evaluated for a methanolic standard mix of progesterone, testosterone and androsteneione using nanoelectrospray into an LTQ Mass Spectrometer (Thermo Scientific, Waltman, Mass.) operating in the positive mode at 350° C. with a flow rate of 0.5 μL/min. The efficiency of extraction was calculated based on intensity relative to that of the deuterated internal standard of each analyte

The detection of the DMF extracted four estrogenic hormones in a standard mix were evaluated by a NanoLC (Eksigent)/LTQ Mass Spectrometer operated in the negative mode at 260° C. The LC method included multiple reaction monitoring method for the four hormones as following (E1 m/z 269/145, E2 m/z 255/237, E3 m/z 287/269 and 16-alpha-OH-E1 m/z 285/213).

Results

As mentioned above, mass spectrometry was used to evaluate the efficacy of extraction by the digital microfluidic method. FIG. 5 contains representative spectra generated from raw samples and extracted samples of blood and serum obtained from a female volunteer at two different days of one reproductive cycle. Specifically, FIGS. 5(a) and (b) show the mass spectra of raw and DMF-extracted samples. Representative spectra generated from 2(a) blood and 2(b) serum obtained from a female volunteer at different days of the menstrual cycle. The insets show that the estrogen fragment at m/z 183 is detected in extracted samples but not in raw samples. In addition, several peaks of potential interferants, tentatively identified as fragments of tyrosine (m/z 178) DNA helicase (m/z 677), and porphyrin (m/z 715) are absent in the extracted samples, suggesting that their concentrations have been substantially reduced.

As shown, estradiol (m/z 183) was not detected in the spectra of raw samples, but was the peak of highest intensity in those from DMF-extracted samples. In addition, the intensities of peaks of potential interferants, tentatively identified as fragments of tyrosine [22] (m/z 178), DNA helicase (http://gpmdb.rockefeller.edu/) (m/z 677) [23] and porphyrin [24] (m/z 715), were suppressed in the spectra of extracted samples, indicating that their concentrations had been substantially reduced. These data highlight the importance of sample processing for this application—estradiol can only be ionized (and thus detected by mass spectrometry) after the many interfering compounds are removed [25].

FIGS. 6(a) to (c) show the LC-MS/MS analysis of DMF-extracted samples. Extracted-ion current (XIC) chromatograms were generated by LC-MS/MS with multiple reaction monitoring from μL samples of estradiol standard solution (2 mg/mL) (see FIG. 6(a)), breast tissue of a postmenopausal patient with breast cancer (see FIG. 6(b)), and whole blood (see FIG. 6(c)). The estradiol-specific ion pair evaluated for XIC was m/z 271/145. More specifically, to test the limits of the method disclosed herein for detecting estrogen in small samples, liquid chromatography and tandem mass spectrometry (LC-MS/MS) with multiple reaction monitoring (MRM) was used to evaluate estradiol extracted by DMF from standard solutions (FIG. 6(a)), breast tissue homogenate from a postmenopausal breast cancer patient (FIG. 6(b)) and whole blood from a female volunteer (FIG. 6(c)). As shown, estradiol was detected with high signal-to-noise ratio (S/N) at retention time ^˜3.2 min for all cases. Detection with high S/N in such tiny samples (1 μL) suggests that in the future, the new technique may be useful for non-invasive sex steroid testing.

An absorbance-based ELISA was used to evaluate the compatibility of the new method with standard optical detection techniques. First, a method was developed for analyzing estradiol standards in a range of concentrations. FIG. 7 shows the extraction efficiency analysis by ELISA. Estradiol standards before and after extraction were evaluated by ELISA. As shown, extraction efficiencies from standard solutions (500, 250, 100, and 3.3 ng/mL) ranged from 86 to 119% with a CVs ranging from 7 to 10%. As shown in FIG. 7, the DMF-based extraction recoveries were high, ranging from 86 to 119% with CVs ranging from 7-10%. A similar method was then applied to analyzing extracts from breast tissue homogenate from a postmenopausal breast cancer patient. Replicate analyses of 1 μL samples (requiring ^˜20 min ea.) contained a mean concentration of 807 pg/mL estradiol. These data confirm that the new method disclosed herein is capable of robust, quantitative analyses of tiny volumes of clinically relevant samples.

FIG. 8 shows mass spectra (MS1) of DMF extracted of 5 μL droplet of a standard mix of the three steroid hormones including progesterone (shown at 300, m/z 315), testosterone (shown at 310, m/z 289) and androstenedione (shown at 320, m/z 287).

The efficiency of extraction of the DMF for each of progesterone, testosterone and androstenedione ranged between 77-92% with (2-14%) variations as shown in FIG. 9.

Total-ion count (TIC) chromatogram generated by LC-MS/MS with multiple reaction monitoring was able to show the DMF extracted four estrogenic hormones (E1, E2, E3, 16-alpha-OH-E1). The chromatogram peaks in FIG. 10 show the extracted hormones including 16 alpha hydroxyl estrone (shown at 400, m/z 285), Estriol (shown at 410, m/z 287), Estradiol (shown at 420, m/z 271) and Estrone (shown at 430, m/z 269).

To the best of the inventors' knowledge, this is the first disclosure of a method for the extraction of steroids, hormones, sex hormones from microliter-sized clinical samples. These volumes are 500 times smaller than those required for conventional analysis methods [16, 17, 26-28]. FIG. 11(a) shows a picture of 500 mg of breast tissue collected by incisional biopsy (representing the sample size required for conventional analysis methods) compared to a 1 μL microaspirate collected using a 30 ga. needle (representing the sample size used with the new method). FIG. 11(b) shows pictures of breast tissue microaspirate (1 μL) being lysed on the DMF device and of the dried estrogen extracted from it.

As depicted in FIGS. 11(a) and (b), this substantial reduction in sample size may eventually result in drastically less-invasive collection procedures, facilitating routine testing of finger pricks of blood or microaspirates of tissue. The former (finger pricks) would facilitate improved patient compliance and clinical outcomes for a variety of applications related to women's health—for example, infertility patients could be monitored over the span of their menstrual or assisted-reproduction cycles, which would assist in proper timing of clinical interventions. The latter (tissue microaspirates) could have an even greater impact on women's health, as described below.

The new method reported here allows for the analysis of estrogen in tiny samples of homogenized breast tissue from menopausal breast cancer patients. It is now widely accepted that estrogen is a significant intracaine and paracrine factor (as opposed to a circulatory hormone) in many tissues including the breast [29-31]. Indeed, in situ biosynthesis of estrogen contributes up to 75% of the total estrogen produced in premenopausal women and almost 100% in menopausal women [29]. Thus, blood estrogen is not reflective of local concentrations inside the breast and may not be sufficient for identification of women with high risk for developing breast cancer, or to monitor the effect of anti-estrogen breast cancer therapies [32, 33]. While this is widely recognized, the measurement of local concentrations of estrogens is not common, because of the present requirement for a large tissue biopsy (which requires local anesthesia and carries the risk of scarring or deformity). Thus, the inventors believe that the digital microfluidic method reported here, which does not require large tissue biopsies (and is compatible with non-scarring, low-invasive microaspirate samples), has the potential to ushering in a new era of treatment and diagnosis of breast cancer relying on routine measurement of local tissue concentrations of estrogen.

In addition to the advantages arising from the use of smaller samples, the automation and integration in the digital microfluidic method makes it considerably less time- and labour-intensive relative to conventional techniques (e.g., no centrifuge is used and the pipetting and prolonged drying steps are almost eliminated). In its current form, samples were processed on DMF devices and then transferred to a more conventional format for analysis by mass spectrometry or ELISA. The former method (MS) is particularly attractive for laboratory testing. The ELISA method is attractive for point-of-care applications; devices and methods with on-chip estrogen quantitation according to embodiments described above are well suited for use in a wide variety of clinical environments.

An important feature of the methods and devices described above is integrated sample extraction and cleanup. These steps are needed for tissue samples, but for serum samples, there are several so-called “direct” immunoassay kits intended for use in raw (non-extracted) samples. Unfortunately, these tests have been characterized as being non-specific and inaccurate because of cross reactivity with other hormones, and consensus is building that sample clean-up is a prerequisite for accurate evaluation of human serum estrogens [10, 13, 34, 35] and other steroids. In fact, the CDC has stated publicly that direct immunoassays do not generate reliable results, especially for samples containing low concentrations of steroids [36]. Thus, it is anticipated that integrated sample cleanup methods described herein may prove useful for a wide range of clinically relevant applications.

The methods described herein are powered by digital microfluidics, a technology that has received less attention than the related technique of microchannel-based fluidics. While microchannels are well suited for many applications (e.g., electrophoresis and other separation modalities, in vitro culture and analysis of cells, etc.), it is expected that this format is a poor match for the application disclosed here. Indeed, in the few reports [37-39] of microchannel-powered methods for liquid-liquid separation (representing only one of a series of steps required for estrogen extraction from clinical samples) the techniques have been inherently limited by the challenge of separating and collecting one phase from the other after they have come into contact. In contrast, this process is straightforward in the method reported here (FIG. 1b, frame 7), and the precise control over different reagents [40], phases [41] and volumes [42] afforded by digital microfluidics makes it a near-perfect match for this application.

In summary, the foregoing example has disclosed a lab-on-a-chip powered by digital microfluidics for sample clean-up and extraction of estradiol in microliter-sized clinical samples. This method has significant potential for clinical applications in reproductive endocrinology and breast cancer.

The examples and embodiments described herein are for illustrative purposes only. Modifications or changes in light thereof will be suggested to persons skilled in the art and are to be included within the spirit and purview of this application.

As used herein, the terms “about”, and “approximately” when used in conjunction with ranges of concentrations, temperatures or other physical or chemical properties or characteristics is meant to cover slight variations that may exist in the upper and lower limits of the ranges of properties/characteristics.

Also, as used herein, the terms “comprises”, “comprising”, “includes” and “including” are to be construed as being inclusive and open ended, and not exclusive. Specifically, when used in this specification including claims, the terms “comprises”, “comprising”, “includes” and “including” and variations thereof mean the specified features, steps or components are included. These terms are not to be interpreted to exclude the presence of other features, steps or components.

As used herein, the coordinating conjunction “and/or” is meant to be a selection between a logical disjunction and a logical conjunction of the adjacent words, phrases, or clauses. Specifically, the phrase “X and/or Y” is meant to be interpreted as “one or both of X and Y” wherein X and Y are any word, phrase, or clause.

The foregoing description of the preferred embodiments of the invention has been presented to illustrate the principles of the invention and not to limit the invention to the particular embodiment illustrated. It is intended that the scope of the invention be defined by all of the embodiments encompassed within the following claims and their equivalents.

When a feature or element is herein referred to as being “on” another feature or element, it can be directly on the other feature or element or intervening features and/or elements may also be present. In contrast, when a feature or element is referred to as being “directly on” another feature or element, there are no intervening features or elements present. It will also be understood that, when a feature or element is referred to as being “connected”, “attached” or “coupled” to another feature or element, it can be directly connected, attached or coupled to the other feature or element or intervening features or elements may be present. In contrast, when a feature or element is referred to as being “directly connected”, “directly attached” or “directly coupled” to another feature or element, there are no intervening features or elements present. Although described or shown with respect to one embodiment, the features and elements so described or shown can apply to other embodiments. It will also be appreciated by those of skill in the art that references to a structure or feature that is disposed “adjacent” another feature may have portions that overlap or underlie the adjacent feature.

Terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. For example, as used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises” and/or “comprising,” when used in this specification, specify the presence of stated features, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof. As used herein, the term “and/or” includes any and all combinations of one or more of the associated listed items and may be abbreviated as “/”.

Spatially relative terms, such as “under”, “below”, “lower”, “over”, “upper” and the like, may be used herein for ease of description to describe one element or feature's relationship to another element(s) or feature(s) as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is inverted, elements described as “under” or “beneath” other elements or features would then be oriented “over” the other elements or features. Thus, the exemplary term “under” can encompass both an orientation of over and under. The device may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly. Similarly, the terms “upwardly”, “downwardly”, “vertical”, “horizontal” and the like are used herein for the purpose of explanation only unless specifically indicated otherwise.

Although the terms “first” and “second” may be used herein to describe various features/elements (including steps), these features/elements should not be limited by these terms, unless the context indicates otherwise. These terms may be used to distinguish one feature/element from another feature/element. Thus, a first feature/element discussed below could be termed a second feature/element, and similarly, a second feature/element discussed below could be termed a first feature/element without departing from the teachings of the present invention.

Throughout this specification and the claims which follow, unless the context requires otherwise, the word “comprise”, and variations such as “comprises” and “comprising” means various components can be co-jointly employed in the methods and articles (e.g., compositions and apparatuses including device and methods). For example, the term “comprising” will be understood to imply the inclusion of any stated elements or steps but not the exclusion of any other elements or steps.

As used herein in the specification and claims, including as used in the examples and unless otherwise expressly specified, all numbers may be read as if prefaced by the word “about” or “approximately,” even if the term does not expressly appear. The phrase “about” or “approximately” may be used when describing magnitude and/or position to indicate that the value and/or position described is within a reasonable expected range of values and/or positions. For example, a numeric value may have a value that is +/−0.1% of the stated value (or range of values), +/−1% of the stated value (or range of values), +/−2% of the stated value (or range of values), +/−5% of the stated value (or range of values), +/−10% of the stated value (or range of values), etc. Any numerical values given herein should also be understood to include about or approximately that value, unless the context indicates otherwise. For example, if the value “10” is disclosed, then “about 10” is also disclosed. Any numerical range recited herein is intended to include all sub-ranges subsumed therein. It is also understood that when a value is disclosed that “less than or equal to” the value, “greater than or equal to the value” and possible ranges between values are also disclosed, as appropriately understood by the skilled artisan. For example, if the value “X” is disclosed the “less than or equal to X” as well as “greater than or equal to X” (e.g., where X is a numerical value) is also disclosed. It is also understood that the throughout the application, data is provided in a number of different formats, and that this data, represents endpoints and starting points, and ranges for any combination of the data points. For example, if a particular data point “10” and a particular data point “15” are disclosed, it is understood that greater than, greater than or equal to, less than, less than or equal to, and equal to 10 and 15 are considered disclosed as well as between 10 and 15. It is also understood that each unit between two particular units are also disclosed. For example, if 10 and 15 are disclosed, then 11, 12, 13, and 14 are also disclosed.

Although various illustrative embodiments are described above, any of a number of changes may be made to various embodiments without departing from the scope of the invention as described by the claims. For example, the order in which various described method steps are performed may often be changed in alternative embodiments, and in other alternative embodiments one or more method steps may be skipped altogether. Optional features of various device and system embodiments may be included in some embodiments and not in others. Therefore, the foregoing description is provided primarily for exemplary purposes and should not be interpreted to limit the scope of the invention as it is set forth in the claims.

The examples and illustrations included herein show, by way of illustration and not of limitation, specific embodiments in which the subject matter may be practiced. As mentioned, other embodiments may be utilized and derived there from, such that structural and logical substitutions and changes may be made without departing from the scope of this disclosure. Such embodiments of the inventive subject matter may be referred to herein individually or collectively by the term “invention” merely for convenience and without intending to voluntarily limit the scope of this application to any single invention or inventive concept, if more than one is, in fact, disclosed. Thus, although specific embodiments have been illustrated and described herein, any arrangement calculated to achieve the same purpose may be substituted for the specific embodiments shown. This disclosure is intended to cover any and all adaptations or variations of various embodiments. Combinations of the above embodiments, and other embodiments not specifically described herein, will be apparent to those of skill in the art upon reviewing the above description.

REFERENCES

1. Ehrmann, D. A. Polycystic ovary syndrome. New England Journal of Medicine 352 (2005).

2. Smith, S., Pfeifer, S. M. & Collins, J. A. Diagnosis and Management of Female Infertility. Journal of the American Medical Association 290, 1767-1770 (2003).

3. Henderson, B. E., Ross, R. & Bernstein, L. Estrogens as a cause of human cancer: the Richard and Hinda Rosenthal Foundation award lecture. Cancer Res 48, 246-253 (1988).

4. Kaaks, R. et al. Postmenopausal serum androgens, estrogens and breast cancer risk: The European prospective investigation into cancer and nutrition. Endocrine-Related Cancer 12, 1071-1082 (2005).

5. Pitt, F. A. & Brazier, J. Hormone replacement therapy for osteoporosis. Lancet 335, 978 (1990).

6. Szarewski, A. & Guillebaud, J. Contraception. Current state of the art. British Medical Journal 302, 1224-1226 (1991).

7. Djerassi, C. Chemical birth of the pill. American Journal of Obstetrics and Gynecology 194, 290-298 (2006).

8. Hertz, R. & Bailar 3rd, J. C. Estrogen-progestogen combinations for contraception. Journal of the American Medical Association 198, 1000-1006 (1966).

9. Cunningham, G. R. Testosterone replacement therapy for late-onset hypogonadism. Nature Clinical Practice Urology 3, 260-267 (2006).

10. Stanczyk, F. Z., Lee, J. S. & Santen, R. J. Standardization of Steroid Hormone Assays Why, How, and When? Cancer Epidemiol Biomarkers Prey 16, 1713-1719 (2007).

11. Albrecht, L. & Styne, D. Laboratory testing of gonadal steroids in children. Pediatric Endocrinology Reviews 5, 599-607 (2007).

12. Rahhal, S. N., Fuqua, J. S. & Lee, P. A. The impact of assay sensitivity in the assessment of diseases and disorders in children. Steroids 73, 1322-1327 (2008).

13. Ankarberg-Lindgren, C. & Norjavaara, E. A purification step prior to commercial sensitive immunoassay is necessary to achieve clinical usefulness when quantifying serum 17-estradiol in prepubertal children. Eur J Endocrinol 158, 117-124 (2008).

14. Belanger, C. et al. Omental and subcutaneous adipose tissue steroid levels in obese men. Steroids 71, 674-682 (2006).

15. Labrie, F. et al. Androgen glucuronides, instead of testosterone, as the new markers of androgenic activity in women. The Journal of Steroid Biochemistry and Molecular Biology 99, 182-188 (2006).

16. Szymczak, J., Milewicz, A., Thijssen, J. H. H., Blankenstein, M. A. & Daroszewski, J. Concentration of Sex Steroids in Adipose Tissue after Menopause. Steroids 63, 319-321 (1998).

17. Blankenstein, M. A. et al. Intratumoral levels of estrogens in breast cancer. J Steroid Biochem Mol Biol 69, 293-297 (1999).

18. Santen, R. J. et al. Superiority of gas chromatography/tandem mass spectrometry assay (GC/MS/MS) for estradiol for monitoring of aromatase inhibitor therapy. Steroids 72, 666-671 (2007).

19. Wheeler, A. R. CHEMISTRY: Putting Electrowetting to Work. Science 322, 539-540 (2008).

20. Moon, H., Wheeler, A. R., Garrell, R. L., Loo, J. A. & Kim, C. J. An integrated digital microfluidic chip for multiplexed proteomic sample preparation and analysis by MALDI-MS. Lab Chip 6, 1213-1219 (2006).

21. Gentili, A. et al. Analysis of free estrogens and their conjugates in sewage and river waters by solid-phase extraction then liquid chromatography-electrospray-tandem mass spectrometry. Chromatographia 56, 25-32 (2002).

22. Deng, C., Li, W. & Zhang, X. Rapid determination of amino acids in neonatal blood samples based on derivatization with isobutyl chloroformate followed by solid-phase microextraction and gas chromatography/mass spectrometry. Rapid Communications in Mass Spectrometry 18, 2558-2564 (2004).

23. Macromolecules, N.R.f.M.S.A.o.B. & University, a.R. 2009).

24. Danton, M. & Lim, C. K. Porphyrin profiles in blood, urine and faces by HPLC/electrospray ionization tandem mass spectrometry. Biomedical Chromatography 20, 612-621 (2006).

25. Jessome, L. L. & Volmer, D. A. Ion Suppression: A Major Concern in Mass Spectrometry. LC-GC North America 24, 498-510 (2006).

26. Chetrite, G. S., Cortes-Prieto, J. C., Philippe, J. C. & Pasqualini, J. R. Estradiol inhibits the estrone sulfatase activity in normal and cancerous human breast tissues. Journal of Steroid Biochemistry and Molecular Biology 104, 289-292 (2007).

27. Burstein, H. J. Aromatase inhibitor-associated arthralgia syndrome. Breast 16, 223-234 (2007).

28. Falk, R. T. et al. Measurement of Sex Steroid Hormones in Breast Adipocytes: Methods and Implications. Cancer Epidemiol Biomarkers Prey 17, 1891-1895 (2008).

29. Labrie, F. Intracrinology. Molecular and Cellular Endocrinology 78, C113-C118 (1991).

30. Sasano, H., Suzuki, T. & Harada, N. From Endocrinology to Intracrinology.

Endocr Pathol 9, 9-20 (1998).

31. Simpson, E. R. et al. Estrogen—the Good, the Bad, and the Unexpected. Endocr Rev 26, 322-330 (2005).
32. Lamar, C. A. et al. Serum sex hormones and breast cancer risk factors in postmenopausal women. Cancer Epidemiol Biomarkers Prey 12, 380-383 (2003).
33. Beattie, M. S. et al. Endogenous sex hormones, breast cancer risk, and tamoxifen response: an ancillary study in the NSABP Breast Cancer Prevention Trial (P-1). J Natl Cancer Inst 98, 110-115 (2006).
34. Dibbelt, L., Von Postel, G. & Knuppen, R. Determination of natural and synthetic estrogens by radioimmunoassay (I). Comparison of direct and extraction methods for quantification of estrone in human serum. Clinical Laboratory 44, 137-143 (1998).
35. Diver, M. J. & Nisbet, J. A. Warning on plasma estradiol measurement. Lancet 2, 1097 (1987).
36. Cuzick, J. Chemoprevention of breast cancer. Women's Health 2, 853-861 (2006).
37. Kralj, J. G., Sahoo, H. R. & Jensen, K. F. Integrated continuous microfluidic liquid-liquid extraction. Lab on a Chip—Miniaturisation for Chemistry and Biology 7, 256-263 (2007).
38. Okubo, Y. et al. Liquid-liquid extraction for efficient synthesis and separation by utilizing micro spaces. Chemical Engineering Science 63, 4070-4077 (2008).
39. Znidarsic-Plazl, P. & Plazl, I. Steroid extraction in a microchannel system—mathematical modelling and experiments. Lab Chip 7, 883-889 (2007).
40. Chatterjee, D., Hetayothin, B., Wheeler, A. R., King, D. J. & Garrell, R. L. Droplet-based microfluidics with nonaqueous solvents and solutions. Lab Chip 6, 199-206 (2006).
41. Jebrail, M. J. & Wheeler, A. R. Digital microfluidic method for protein extraction by precipitation. Anal Chem 81, 330-335 (2009).
42. Abdelgawad, M., Freire, S. L. S., Yang, H. & Wheeler, A. R. All-terrain droplet actuation. Lab on a Chip—Miniaturisation for Chemistry and Biology 8, 672-677 (2008).

	Number	Date	Country
Parent	13203701	Dec 2011	US
Child	15853515		US
Parent	12379704	Feb 2009	US
Child	13203701		US

DIGITAL MICROFLUIDIC LIQUID-LIQUID EXTRACTION DEVICE AND METHOD OF USE THEREOF

Information

Publication Number

Date Filed

Date Published

Inventors

CPC

International Classifications

Abstract

Description

Claims

CROSS REFERENCE TO RELATED APPLICATIONS

Continuations (2)