IP Library Granted Patent US 9,857,295
Granted Patent B2
US 9,857,295 · App. 14/966,807 · Granted Jan 2, 2018

Comparative discrimination spectral detection system and method for the identification of chemicals with overlapping spectral signatures

Inventors: Menelaos K. Poutous (Charlotte, NC); Ishwar D. Aggarwal (Charlotte, NC); Kevin J. Major (Charlotte, NC); Jas S. Sanghera (Charlotte, NC); Ken Ewing (Charlotte, NC)
Assignee: The University Of North Carolina At Charlotte
G01N21/3504G01N21/35G01N2201/1293
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Quick Facts
Patent No.
US 9,857,295
App. No.
14/966,807
Granted
Jan 2, 2018
Kind
B2
Abstract

A comparative discrimination spectral detection (CDSD) system for the identification of chemicals with overlapping spectral signatures, including: a radiation source for delivering radiation to a sample; a radiation collector for collecting radiation from the sample; a plurality of beam splitters for splitting the radiation collected from the sample into a plurality of radiation beams; a plurality of low-resolution optical filters for filtering the plurality of radiation beams; a plurality of radiation detectors for detecting the plurality filtered radiation beams; and a processor for: receiving a set of reference spectra related to a set of target chemicals and generating a set of base vectors for the set of target chemicals from the set of reference spectra, wherein the set of base vectors define a geometrical shape in a configuration space; receiving a set of filtered test spectra from the plurality of radiation detectors and generating a set of test vectors in the configuration space from the set of filtered test spectra; assessing a geometrical relationship of the set of test vectors and the geometrical shape defined by the set of base vectors in the configuration space; and based on the assessed geometrical relationship, establishing a probability that a given test spectrum or spectra matches a given reference spectrum or spectra.

Claims (38)

1. A comparative discrimination spectral detection (CDSD) system for the identification of chemicals with overlapping spectral signatures, comprising:

a radiation source configured for delivering radiation to a sample;

a radiation collector configured for collecting radiation from the sample;

a plurality of beam splitters configured for splitting the radiation collected from the sample into a plurality of radiation beams;

a plurality of optical filters configured for filtering the plurality of radiation beams;

a plurality of radiation detectors configured for detecting the plurality filtered radiation beams; and

a processor configured for:

receiving a set of reference spectra related to a set of target chemicals and generating a set of base vectors for the set of target chemicals from the set of reference spectra, wherein the set of base vectors define a geometrical shape in a configuration space;

receiving a set of filtered test spectra from the plurality of radiation detectors and generating a set of test vectors in the configuration space from the set of filtered test spectra;

assessing a geometrical relationship of the set of test vectors and the geometrical shape defined by the set of base vectors in the configuration space; and

based on the assessed geometrical relationship of the set of test vectors and the geometrical shape defined by the set of base vectors in the configuration space, establishing a probability that a given test spectrum of the set of filtered test spectra matches a given reference spectrum of the set of reference spectra;

wherein the set of base vectors define a polygon having a volume in the configuration space.

2. The CDSD system of claim 1 , wherein the radiation source comprises an infrared (IR) illuminator that emits radiation in one or more of the near-infrared (NIR), the mid-wave infrared (MWIR), and the long-wave infrared (LWIR).

3. The CDSD system of claim 1 , wherein the radiation collector comprises an infrared (IR)-compatible optical system of lenses and windows.

4. The CDSD system of claim 1 , wherein the plurality of beam splitters each comprise one or more optical plates with predetermined optical reflections and transmissions.

5. The CDSD system of claim 1 , wherein the plurality of optical filters each comprise a glass filter with a wavelength pass-band peaked at or adjacent to a wavelength of interest.

6. The CDSD system of claim 1 , wherein the plurality of radiation detectors each comprise one of a thermal detector and a photon detector.

7. The CDSD system of claim 1 , wherein, if the given test spectrum matches a given reference spectrum, then a given test vector will fall at least partially within the volume of the polygon in the configuration space and have predetermined relationships with the sides and surface normals of the polygon.

8. The CDSD system of claim 1 , wherein, if the given test spectrum does not match a given reference spectrum, then a given test vector will fall at least partially outside of the volume of the polygon in the configuration space and not have predetermined relationships with the sides and surface normals of the polygon.

9. A comparative discrimination spectral detection (CDSD) method for the identification of chemicals with overlapping spectral signatures, comprising:

delivering radiation to a sample using a radiation source;

collecting radiation from the sample using a radiation collector;

splitting the radiation collected from the sample into a plurality of radiation beams using a plurality of beam splitters;

filtering the plurality of radiation beams using a plurality of optical filters;

detecting the plurality filtered radiation beams using a plurality of radiation detectors; and

providing a processor configured for:

receiving a set of reference spectra related to a set of target chemicals and generating a set of base vectors for the set of target chemicals from the set of reference spectra, wherein the set of base vectors define a geometrical shape in a configuration space;

receiving a set of filtered test spectra from the plurality of radiation detectors and generating a set of test vectors in the configuration space from the set of filtered test spectra;

assessing a geometrical relationship of the set of test vectors and the geometrical shape defined by the set of base vectors in the configuration space; and

based on the assessed geometrical relationship of the set of test vectors and the geometrical shape defined by the set of base vectors in the configuration space, establishing a probability that a given test spectrum of the set of filtered test spectra matches a given reference spectrum of the set of reference spectra;

wherein the set of base vectors define a polygon having a volume in the configuration space.

10. The CDSD method of claim 9 , wherein the radiation source comprises an infrared (IR) illuminator that emits radiation in one or more of the near-infrared (NIR), the mid-wave infrared (MWIR), and the long-wave infrared (LWIR).

11. The CDSD method of claim 9 , wherein the radiation collector comprises an infrared (IR)-compatible optical system of lenses and windows.

12. The CDSD method of claim 9 , wherein the plurality of beam splitters each comprise one or more optical plates with predetermined optical reflections and transmissions.

13. The CDSD method of claim 9 , wherein the plurality of optical filters each comprise a glass filter with a wavelength pass-band peaked at or adjacent to a wavelength of interest.

14. The CDSD method of claim 9 , wherein the plurality of radiation detectors each comprise one of a thermal detector and a photon detector.

15. The CDSD method of claim 9 , wherein, if the given test spectrum matches a given reference spectrum, then a given test vector will fall at least partially within the volume of the polygon in the configuration space and have predetermined relationships with the sides and surface normals of the polygon.

16. The CDSD method of claim 9 , wherein, if the given test spectrum does not match a given reference spectrum, then a given test vector will fall at least partially outside of the volume of the polygon in the configuration space and not have predetermined relationships with the sides and surface normals of the polygon.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 22, 2019
From: THE UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE
To: THE UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE; THE GOVERNMENT OF THE UNITED STATES OF AMERICA,AS REPRESENTED BY THE SECRETARY OF THE NAVY
Reel/Frame 048416/0426 →
CONFIRMATORY LICENSE Recorded Aug 18, 2017
From: NORTH CAROLINA, UNIVERSITY OF
To: NAVY, SECRETARY OF THE UNITED STATES OF AMERICA
Reel/Frame 043601/0022 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 8, 2016
From: POUTOUS, MENELAOS K.; AGGARWAL, ISHWAR D.; MAJOR, KEVIN J.; SANGHERA, JAS S.; EWING, KEN
To: THE UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE
Reel/Frame 037437/0631 →
Continuity (2)
Provisional Application 62203077 · Aug 10, 2015
Related Publication 20170045442A1 · Feb 16, 2017