Method and apparatus for detecting illicit substances

• US 20020177232A1
• Filed: 05/22/2002
• Published: 11/28/2002
• Est. Priority Date: 05/23/2001
• Status: Abandoned Application

• Current Assignee: University of Florida Research Foundation, Incorporated (State University System of Florida)
• Original Assignee: University of Florida Research Foundation, Incorporated (State University System of Florida)
• Inventors: Goldberger, Bruce A., Melker, Richard J., Gold, Mark
• Application Number:
  US10/154,201
• Publication Number:
  US 20020177232A1
• Time in Patent Office: Days
• US Class Current: 436/151
• CPC Class Codes: G01N 2291/021 Gases
• CPC Class Codes: G01N 2291/0256 Adsorption, desorption, surface mass change, e.g. on biosensors
• CPC Class Codes: G01N 2291/0423 Surface waves, e.g. Rayleigh waves, Love waves
• CPC Class Codes: G01N 2291/0426 Bulk waves, e.g. quartz crystal microbalance, torsional waves
• CPC Class Codes: G01N 2291/0427 Flexural waves, plate waves, e.g. Lamb waves, tuning fork, cantilever
• CPC Class Codes: G01N 29/022 Fluid sensors based on microsensors, e.g. quartz crystal-microbalance [QCM], surface acoustic wave [SAW] devices, tuning forks, cantilevers, flexural plate wave [FPW] devices microdevices per se B81B
• CPC Class Codes: G01N 29/036 by measuring frequency or resonance of acoustic waves
• CPC Class Codes: G01N 29/069 Defect imaging, localisation and sizing using, e.g. time of flight diffraction [TOFD], synthetic aperture focusing technique [SAFT], Amplituden-Laufzeit-Ortskurven [ALOK] technique
• CPC Class Codes: G01N 29/4481 Neural networks
• CPC Class Codes: G01N 33/0034 comprising neural networks or related mathematical techniques
• CPC Class Codes: G01N 33/497 of gaseous biological material, e.g. breath
• CPC Class Codes: Y10T 436/24 Nuclear magnetic resonance, electron spin resonance or other spin effects or mass spectrometry

Abstract

The present invention includes a method and apparatus for detecting use of illicit substances by analyzing a sample of breath using electronic sensor technology, including surface acoustic-wave gas sensor technology. The method determines the presence and concentration of the substance (or a class of substances). Diagnostic software is used to identify substances where a stored library of signatures is compared to the signature obtained from the system. Signal processing and neural networks are preferably utilized in the analysis.

Claims

1. A method of detecting illicit substances, comprising:

obtaining a sample of exhaled breath; and

analyzing said sample of breath with sensor technology to determine the presence of said illicit substance.

2. The method of claim 1 wherein said sample is analyzed to determine the presence of said illicit substance by sensor technology selected from the group consisting of:

semiconductor gas sensor technology;

conductive polymer gas sensor technology;

aptamer sensor technology;

amplifying fluorescent polymer (AFP) sensor technology;

or surface acoustic wave gas sensor technology.

3. The method of claim 1 wherein said sample is analyzed to determine the presence of said illicit substance by at least one surface acoustic wave gas sensor wherein the coating is produced by technology selected from the group consisting of pulsed laser deposition, matrix assisted pulsed laser evaporation, and pulsed laser assisted surface functionalization.

4. The method of claim 1 wherein the sensor technology produces a unique electronic fingerprint to characterize the illicit substance such that the presence and concentration of the illicit substance is determined.

5. The method of claim 1 wherein said sample is analyzed to confirm the presence of said illicit substance by a spectrophotometer.

6. The method of claim 1 wherein said sample is analyzed to confirm the presence of said illicit substance by a mass spectrometer.

7. The method of claim 1 further comprising the step of recording data resulting from analysis of said sample.

8. The method of claim 1 further comprising the step of communicating data resulting from analysis of said sample to a remote system.

9. The method of claim 1 further comprising the step of analyzing data resulting from analysis of said sample with a neural classifier.

10. The method of claim 1 wherein the analysis of said sample includes comparing the results sensed in said sample against a predetermined signature library of interferents.

11. The method of claim 1 wherein the analysis of said sample includes comparing the results sensed in said sample with a predetermined signature profile of a class of illicit substances.

12. The method of claim 1 wherein the analysis of said sample includes comparing the results sensed in said sample with a predetermined signature profile of a specific illicit substance.

13. The method of claim 12 wherein the predetermined signature profile of said specific illicit substance is associated with gamma hydroxy butyrate.

14. The method of claim 1 wherein said sample is obtained by capturing exhaled breath in a vessel prior to analysis.

15. The method of claim 1 further comprising the step of dehumidifying said sample prior to analysis.

16. The method of claim 1 wherein said analysis further includes detecting exhalation with a sensor.

17. The method of claim 16 wherein said sensor is a pressure sensor.

18. The method of claim 1 wherein analysis further includes restricting the flow of exhaled breath with an air flow restrictor.

19. A method of determining the presence of an illicit substance in a subject, comprising:

obtaining a sample of exhaled breath from said subject who has possibly ingested an illicit substance;

subsequently analyzing said breath sample using gas sensor technology;

comparing the results of the analysis against a library of known illicit substances and interferents; and

identifying and confirming the presence or absence of an illicit substance in said subject.

20. A method of determining subject compliance, comprising:

obtaining a sample of exhaled breath from said subject;

subsequently analyzing said breath sample;

comparing the results of the analysis against a library of known illicit substances and interferents;

confirming the presence or absence of any illicit substance.

21. The method of claim 20 further comprising the step of identifying a baseline spectrum from said subject'"'"'s breath prior to said subject'"'"'s ingestion of said illicit substance.

45. The method of claim 20 further comprising the step of identifying a baseline illicit substance spectrum.

22. An apparatus for rapidly determining subject compliance with a treatment regimen, comprising:

(a) means for receiving exhaled breath from a subject;

(b) means for determining the presence of illicit substances in said breath; and

(c) means for reporting the results.

23. The apparatus of claim 22 further comprising a mouthpiece in communication with the means for receiving exhaled breath.

24. The apparatus of claim 22 further comprising an air flow restrictor in communication with the means for receiving exhaled breath.

25. The apparatus of claim 22 further comprising an air flow sensor in communication with the means for receiving exhaled breath.

26. The apparatus of claim 25 wherein said air flow sensor is a pressure sensor.

27. The apparatus of claim 22 wherein the means for determining the presence of illicit substances in said breath comprises a sensor having a surface exposed to said subject'"'"'s breath and a material selectively absorptive of a group of chemical substances of which illicit substances are members.

28. The apparatus of claim 27 wherein said sensor comprises a gas sensor.

29. The apparatus of claim 28 wherein said gas sensor is selected from the group consisting of semiconductor gas sensor technology;

conductive polymer gas sensor technology;

aptamer sensor technology;

amplifying fluorescent polymer (AFP) sensor technology;

or surface acoustic wave gas sensor technology.

30. The apparatus of claim 28 comprising at least one surface acoustic wave gas sensor wherein the coating is produced by technology selected from the group consisting of pulsed laser deposition, matrix assisted pulsed laser evaporation, and pulsed laser assisted surface functionalization.

31. The apparatus of claim 22 comprising an analysis means, coupled to the sensor, for producing an electrical signal indicative of the presence of said illicit substance.

32. The apparatus of claim 31 further comprising a stored library of interferents for comparison.

33. The apparatus of claim 31 further comprising a stored library of classes of illicit substances for comparison.

34. The apparatus of claim 31 further comprising a stored library of specific illicit substances for comparison.

35. The apparatus of claim 34 wherein said specific illicit substance is gamma hydroxy butyrate.

36. The apparatus of claim 22, wherein the analysis means are further operative to determine the approximate concentration of said illicit substance substance.

37. The apparatus of claim 22 further comprising a neural classifier.

38. The apparatus of claim 22 further comprising a means for remotely communicating the results.

39. The apparatus of claim 22 further comprising a means for storing the results.

40. A device for detecting a target substance of an illicit nature in expired breath comprising:

a surface-acoustic wave sensor capable of detecting the presence of said target substance in expired breath, wherein said sensor responds to the target substance by a shift in the resonant frequency;

an oscillator circuit having said sensor as an active feedback element; and

a frequency counter in communication with said oscillator circuit to measure oscillation frequency which corresponds to resonant frequency of the sensor;

a processor for comparing the oscillation frequency with a previously measured oscillation frequency of the target substance and determining presence and concentration of the target substance therefrom.

41. A device for detecting a target substance of an illicit nature in expired breath comprising:

a sensor having an array of polymers capable of detecting the presence of said target substance in expired breath, wherein said sensor responds to the target substance by changing the resistance in each polymer resulting in a pattern change in the sensor array;

a processor for receiving the change in resistance, comparing the change in resistance with a previously measured change in resistance, and identifying the presence of the target substance from the pattern change and the concentration of the substance from the amplitude.

42. The device of claim 41 wherein the processor comprises a neural network for comparing the change in resistance with a previously measured change in resistance to find a best match.

43. A method of determining the rate of washout of a target substance of an illicit nature in expired breath comprising:

obtaining a sample of expired breath at a first interval;

analyzing said sample with sensor technology to determine the concentration of said substance;

obtaining at least one additional sample of expired breath at a later interval;

analyzing said additional sample with sensor technology to determine the concentration of said substance; and

comparing the concentration of the first sample with the concentration of additional samples to determine rate of washout of said target substance.

44. The method of claim 43 wherein the step of determining the concentration of said substance includes the step of using sensor technology to measure metabolites of said substance.