Temperature-independent chemical and biological sensors

• US 8,990,025 B2
• Filed: 09/19/2013
• Issued: 03/24/2015
• Est. Priority Date: 12/23/2010
• Status: Active Grant

• Current Assignee: GE Infrastructure Technology, LLC (GE Vernova, Inc.)
• Original Assignee: General Electric Company
• Inventors: Potyrailo, Radislav Alexandrovich, Surman, Cheryl Margaret
• Primary Examiner(s): Le, John H
• Application Number:
  US14/031,965
• Publication Number:
  US 20140019067A1
• Time in Patent Office: 551 Days
• Field of Search: 702/19, 702/23, 702/25, 702/22, 324/602, 324/633, 324/652, 324/655, 73/310.5, 73/645.3, 310/360, 340/10.41
• US Class Current: 702/25
• CPC Class Codes: G01N 27/02 by investigating impedance
• CPC Class Codes: G01N 27/025 a current being generated within the material by induction
• CPC Class Codes: G01N 33/48792 Data management, e.g. communication with processing unit for in vivo diagnostics A61B5/0002; transmission systems for measured values G08C
• CPC Class Codes: Y10T 29/49007 Indicating transducer

Abstract

Methods and sensors for selective fluid sensing are provided. A sensor includes a resonant inductor-capacitor-resistor (LCR) circuit and a sensing material disposed over a sensing region. The sensing region comprises at least a portion of the LCR circuit. Temperature-dependent response coefficients of inductance L, capacitance C, and resistance R properties of the LCR circuit and the sensing material are at least approximately 5 percent different from one another. The difference in the temperature-dependent response coefficients of the properties of the LCR circuit and the sensing material enables the sensor to selectively detect analyte fluids from an analyzed fluid mixture substantially independent of temperature.

Claims

1. A method of detecting chemical or biological species in a fluid, comprising:

measuring, with a network analyzer, a real part and an imaginary part of an impedance spectrum of a single resonant sensor antenna coated with a sensing material, wherein temperature-dependent response coefficients of a property of the single resonant sensor antenna and the sensing material are different from one another;

calculating, with a network analyzer, at least six spectral parameters of the single resonant sensor antenna coated with the sensing material at a plurality of temperatures;

reducing, with a first processor configured to perform canonical correlation analysis, regression analysis, nonlinear regression analysis, principal components analysis, discriminate function analysis, multidimensional scaling, linear discriminate analysis, logistic regression, or neural network analysis, the impedance spectrum to a single data point using multivariate analysis to selectively identify an analyte; and

determining, with the first processor or a second processor, one or more environmental parameters from the impedance spectrum using stored calibration coefficients, wherein the determination of the one or more environmental parameters is substantially independent of temperature.

2. The method, as set forth in claim 1, wherein the stored calibration coefficients are based on the effects on the impedance spectrum of the different temperature-dependent response coefficients of the property of the single resonant sensor antenna and the sensing material.

3. The method, as set forth in claim 1, wherein measuring the impedance spectrum and calculating at least six spectral parameters comprises measuring over a resonant frequency range of the resonant sensor antenna.

4. The method, as set forth in claim 1, wherein calculating at least six spectral parameters comprises calculating a frequency position of the real part of the impedance spectrum, and a magnitude of the real part of the impedance spectrum.

5. The method, as set forth in claim 1, wherein calculating at least six spectral parameters comprises calculating a resonant frequency of the imaginary part of the impedance spectrum, and an anti-resonant frequency of the imaginary part of the impedance spectrum.

6. The method, as set forth in claim 1, wherein reducing the impedance spectrum to a single data point comprises calculating a multivariate signature.

7. The method, as set forth in claim 1, comprising operating an integrated circuit chip at a plurality of power levels such that a resonant inductor-capacitor-resistor (LCR) circuit is operated at a plurality of conditions.

8. The method, as set forth in claim 7, wherein the operation of the LCR circuit at the plurality of conditions improves the temperature-independent determination of the one or more environmental parameters.

9. The method, as set forth in claim 1, comprising:

acquiring an impedance spectrum over a resonant frequency range of a resonant sensor circuit having the single resonant sensor antenna; and

calculating a multivariate signature from the acquired impedance spectrum.

10. A method of manufacturing a sensor, comprising:

assembling, with at least one inductor, at least one capacitor, and at least one resistor, a transducer comprising a single resonant inductor-capacitor-resistor (LCR) circuit, wherein the transducer comprises at least three temperature-dependent response coefficients of inductance L, capacitance C, and resistance R properties of the single LCR circuit, wherein the at least three temperature-dependent response coefficients of the properties of the single LCR circuit are at least approximately 5 percent different from one another;

selecting a sensing material, from at least one of a hydrogel, a sulfonated polymer, an adhesive polymer, an inorganic film, a biological-containing film, a composite film, a nanocomposite film, functionlized carbon nanotube film, film made of surface functionalized gold nanoparticles, electrospun polymeric, inorganic, and composite nanofibers, and/or nanoparticles that have one dielectric property and incorporated in a matrix that has another dielectric property, wherein the sensing material comprises at least two temperature-dependent response coefficients of dielectric constant and resistance properties of the sensing material, wherein the at least two temperature-dependent response coefficients of the properties of the sensing material are at least approximately 5 percent different from the at least three temperature-dependent response coefficients of the properties of the single LCR circuit;

disposing, by draw-coating, drop coating, or spraying processes, the sensing material over a sensing region, wherein the sensing region comprises at least a portion of the single LCR circuit.

11. The method, as set forth in claim 10, wherein the difference in the first and second temperature-dependent response coefficients of the property enables the sensor to provide substantially temperature-independent sensing.

12. The method, as set forth in claim 10, wherein the sensor is configured to acquire an impedance over a resonant frequency range of the transducer at a plurality of temperatures and calculate a multivariate signature from the acquired impedance spectrum at the plurality of temperatures using stored calibration coefficients based on the difference in the first and second temperature-dependent response coefficients of the property.

13. A method of detecting analytes in a fluid, comprising:

acquiring, with a network analyzer, an impedance spectrum over a resonant frequency range of a single resonant sensor circuit having a sensing material, wherein temperature-dependent response coefficients of a property of the single resonant sensor circuit and the sensing material are different from one another; and

calculating, using a processor configured to perform principal components analysis, a multivariate signature from the acquired impedance spectrum.

14. The method, as set forth in claim 13, wherein calculating a multivariate signature from the acquired impedance spectrum is performed using the real part of the impedance spectrum.

15. The method, as set forth in claim 13, wherein the resonant frequency range is within a range of 0.1 Hz-1000 THz.

16. The method, as set forth in claim 13, wherein acquiring the impedance spectrum is performed in a fluid having greater than 50% humidity.

17. The method, as set forth in claim 13, wherein the multivariate signature is calculated using principal components analysis, canonical correlation analysis, regression analysis, nonlinear regression analysis, discriminate function analysis, multidimensional scaling, linear discriminate analysis, logistic regression, or neural network analysis.

18. The method, as set forth in claim 13, wherein acquiring the impedance spectrum comprises detecting dielectric, dimensional, resistance, charge transfer or other changes of material properties by monitoring changes in properties of the resonant circuit.

19. The method, as set forth in claim 13, wherein the resonant circuit comprises an inductor-capacitor-resistor (LCR) circuit.

20. The method, as set forth in claim 13, comprising:

measuring a real part and an imaginary part of the impedance spectrum of a resonant sensor antenna of the single resonant sensor circuit, wherein the resonant sensor antenna is coated with a sensing material;

calculating at least six spectral parameters of the single resonant sensor circuit coated with the sensing material;

reducing the impedance spectrum to a single data point using multivariate analysis to selectively identify the analyte; and

determining one or more environmental parameters from the impedance spectrum.