Chemometric analysis of chemical agents using electrochemical detection and classification techniques

Patent metadata

Field	Value
Publication number	US-9678032-B2
Application number	US-201314439641-A
Country	US
Kind code	B2
Filing date	Oct 29, 2013
Priority date	Oct 29, 2012
Publication date	Jun 13, 2017
Grant date	Jun 13, 2017

Abstract

Methods, systems, and devices are disclosed for the identification of chemical agents and determination of their level of exposure using electrochemical detection and advanced signal processing. In one aspect, a method includes collecting a sample from a surface containing a chemical agent to an electrode on a sensor such that the chemical agent transfers on the electrode, detecting an electrochemical signal of the chemical agent on the electrode to transduce chemical information associated with the chemical agent to an electrical signal, processing the electrical signal to obtain electrochemical spectral signature data to identify the chemical agent and generating a series of coefficients of the electrochemical spectral signature data to reduce the data, and classifying the chemical information based on the series of coefficients among preselected data sets to determine a level of exposure to the chemical agent.

First claim

What is claimed is:

1. A method to identify and analyze exposure levels of a chemical agent, comprising:
collecting a sample from a surface containing a chemical agent to an electrode on a sensor to cause a contact between the chemical agent and the electrode;
detecting an electrochemical signal of the chemical agent on the electrode to transduce chemical information associated with the chemical agent to an electrical signal;
processing the electrical signal to generate data to obtain an electrochemical spectral signature from the data to identify the chemical agent;
generating a series of coefficients of the electrochemical spectral signature to compress the data; and
classifying the chemical information based on the series of coefficients among preselected data sets to determine a level of exposure to the chemical agent.

2. The method as in claim 1 , wherein the collecting includes swiping the surface using the electrode surface of the sensor.

3. The method as in claim 2 , wherein the sensor includes a printed three-electrode strip including a working electrode, a counter electrode, and a reference electrode, wherein the chemical agent is transferred to the working electrode.

4. The method as in claim 2 , wherein the sensor includes a printed two-electrode strip including a working electrode and a reference electrode, wherein the chemical agent is transferred to the working electrode.

5. The method as in claim 1 , wherein the detecting the electrochemical signal includes performing at least one of voltammetry, cyclic voltammetry, square wave voltammetry, differential pulse voltammetry, amperometry, chronoamperometry, potentiometry, chronopotentiometry, coulometry, chronocoulometry, conductometry, or impedometry.

6. The method as in claim 1 , wherein the generating the series of coefficients of the electrochemical spectral signature includes using a discrete Wavelet transform (DWT) or a fast Fourier transform (FFT).

7. The method as in claim 6 , further comprising using the DWT or the FFT to filter noise from the electrical signal.

8. The method as in claim 1 , wherein the classifying includes performing pattern recognition using the preselected data sets and the series of coefficients to assign a group membership or ranking to the chemical information by maximizing inter-group variance between unique groups and minimizing intra-group variance.

9. The method as in claim 8 , wherein the pattern recognition includes at least one of principal component analysis (PCA), analysis of variance (ANOVA), regression analysis, Fisher's linear discriminant (FLD), linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), neural networks, perceptrons, support vector machines, Bayes classifiers, kernel estimation, decision trees, maximum entropy classifier, or K-means clustering.

10. The method as in claim 1 , wherein the chemical agent includes gunshot residue (GSR).

11. The method as in claim 10 , wherein the level of exposure to the GSR is classified into a plurality of groups including a No Contact group, a Secondary Contact group, and a Primary Contact group.

12. The method as in claim 11 , wherein the Secondary Contact group includes subjects that have been present in an environment where a firearm was discharged (a) without a subject handling the firearm or (b) with the subject handling the firearm but not firing it.

13. The method as in claim 11 , wherein the Primary Contact group includes subjects that have fired a firearm.

14. The method as in claim 13 , wherein the Primary Contact group includes subjects that have fired the firearm and washed their hands subsequent to the firing of the firearm.

15. The method as in claim 1 , wherein the chemical agent includes explosive residue (ER).

Assignees

• Univ California
• Univ Barcelona Autonoma

Inventors

• Wang Joseph
• Windmiller Joshua Ray
• O'Mahony Aoife
• Cetó Xavier
• Del Valle Manel

Classifications

• G01N27/307 Primary

  Disposable laminated or multilayered electrodes (G01N27/3272 takes precedence) · CPC title

• G01N33/0057 Primary

  Warfare agents or explosives · CPC title

• G01N27/48

  using polarography, i.e. measuring changes in current under a slowly-varying voltage · CPC title