Method and apparatus for detecting humans and human remains

• US 20050191757A1
• Filed: 01/19/2005
• Published: 09/01/2005
• Est. Priority Date: 01/20/2004
• 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, Melker, Richard J.
• Application Number:
  US11/039,111
• Publication Number:
  US 20050191757A1
• Time in Patent Office: Days
• US Class Current: 436/164
• CPC Class Codes: G01N 2291/0215 Mixtures of three or more gases, e.g. air
• 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 2291/0427 Flexural waves, plate waves, e.g. Lamb waves, tuning fork, cantilever
• CPC Class Codes: G01N 2291/101 one transducer
• CPC Class Codes: G01N 27/126 comprising organic polymers
• 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 29/2462 Probes with waveguides, e.g. SAW devices
• CPC Class Codes: G01N 29/2468 Probes with delay lines
• CPC Class Codes: G01N 29/4427 with stored values, e.g. threshold values
• CPC Class Codes: G01N 29/4481 Neural networks
• CPC Class Codes: G01N 33/0031 comprising two or more sensors, e.g. a sensor array
• CPC Class Codes: G01N 33/0032 using two or more different physical functioning modes
• CPC Class Codes: G01N 33/0034 comprising neural networks or related mathematical techniques
• CPC Class Codes: G01N 33/0047 Organic compounds
• CPC Class Codes: G08B 21/22 responsive to presence or absence of persons

Abstract

The present invention includes a method and apparatus for detecting humans or human remains by analyzing air, fluid, or soil using electronic sensor technology, including surface acoustic-wave gas sensor technology. The method determines the presence and concentration of the target compound (or a class of compounds) associated with humans or human decomposition. Diagnostic software is used to identify target compounds 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 for detecting human remains, comprising exposing sensor technology to an environmental sample to determine the presence of target compounds associated with human remains in the environment, and using the results of the sensor technology to locate the human remains.

2. The method of claim 1 wherein said sample is analyzed to determine the presence of said target compound 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 compound 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 target compound such that the presence and concentration of the target compound is determined.

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

6. The method of claim 1 wherein said sample is analyzed to confirm the presence of said target compound 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 target compounds.

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 target compound.

13. The method of claim 1 wherein said sample is obtained by capturing air in a vessel prior to analysis.

14. The method of claim 13 further comprising the step of dehumidifying said sample prior to analysis.

15. A method for determining the location of human remains, comprising:

obtaining a sample of air;

subsequently analyzing said air sample using gas sensor technology;

comparing the results of the analysis against a library of known target compounds and interferents associated with human remains; and

identifying and confirming the presence or absence of the target compound in said air.

16. A method for determining the location of a human, comprising:

obtaining a sample of air;

subsequently analyzing said air sample;

comparing the results of the analysis against a library of known target compounds and interferents associated with humans;

confirming the presence or absence of any target compounds and interferents in the air sample.

17. A device for determining the location of human remains comprising:

a surface-acoustic wave sensor capable of detecting the presence of said target compound, wherein said sensor responds to the target compound 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 compound and determining presence and concentration of the target compound therefrom.

18. A device for determining the location of human remains comprising:

a sensor having an array of polymers capable of detecting the presence of said target compound in an environmental sample, wherein said sensor responds to the target compound by charging 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 measures change in resistance, and identifying the presence of the target compound from the pattern change and the concentration of the compound from the amplitude.

19. The device of claim 18 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.