IP Library › Granted Patent US 11,378,495
Granted Patent B2
US 11,378,495 · App. 16/265,923 · Granted Jul 5, 2022

Methods, systems and devices for agent detection

Inventors: Thomas Spencer (Atlanta, GA); David Hu (Atlanta, GA); Alexander B. Lee (Atlanta, GA)
Assignee: Georgia Tech Research Corporation
G01N1/24G01N1/14G01N1/2273G01N33/0062G01N33/0073G06N20/00G01N2033/0068
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Quick Facts
Patent No.
US 11,378,495
App. No.
16/265,923
Granted
Jul 5, 2022
Kind
B2
Abstract

Methods, systems, and devices that takes advantage of the unique fluid dynamics involved when oscillating flow across a sensor or sensor array. A time-variant source of information about an agent(s) of interest being sensored is established. This source of information is used in machine learning algorithms to speed up the time and accuracy of agent classification and identification.

Claims (45)

1. An agent detection method comprising:

subjecting a sensor to a medium containing an agent of interest via an oscillating flow of the medium, oscillating between a flow into a port in fluid communication with the medium and a flow out of the port;

establishing a time-variant characteristic associated with the agent of interest from information received from the sensor; and

detecting the agent of interest from evaluation of the time-variant characteristic.

2. The agent detection method of claim 1 , wherein subjecting the sensor to the oscillating flow comprises subjecting a single sensor to the oscillating flow.

3. The agent detection method of claim 1 , wherein subjecting the sensor to the oscillating flow comprises subjecting more than one sensor to the oscillating flow.

4. The agent detection method of claim 1 , wherein the medium is a gas.

5. The agent detection method of claim 1 , wherein the medium is a liquid.

6. The agent detection method of claim 1 , wherein the agent of interest is a chemical.

7. The agent detection method of claim 1 further comprising employing a machine learning algorithm.

8. The agent detection method of claim 1 further comprising employing a machine learning algorithm to improve the speed of detecting the agent of interest.

9. The agent detection method of claim 1 further comprising continuously subjecting, establishing and detecting for a predetermined time period without sensor reset during the predetermined time period.

10. The agent detection method of claim 1 , wherein the medium is a liquid, and the method further comprises creating, in the liquid, a bubble of gas containing the agent of interest, and then subjecting the sensor to the oscillating flow of the gas in the bubble;

wherein the bubble is stable in proximity to the sensor for a time sufficient to complete the step of subjecting the sensor to the oscillating flow.

11. A system comprising:

a port in fluid communication with a medium containing an agent;

a station in fluid communication with the port;

a processor;

memory in communication with the processor; and

a medium oscillation source configured to subject the station to the medium containing the agent via an oscillating flow of the medium, oscillating between a flow into the port and a flow out of the port;

wherein the memory stores instructions that, when executed by the processor, is configured to:

establish a time-variant characteristic associated with the agent from information received from the station; and

detect the agent from evaluation of the time-variant characteristic.

12. The system of claim 11 , wherein the station comprises a collection station for the collection of an amount of the agent over cycles of oscillation.

13. The system of claim 11 , wherein the agent is an agent of interest;

wherein the station is a sensor station; and

wherein the instructions are further configured to:

establish the time-variant characteristic associated with the agent of interest from information received from the sensor station; and

detect the agent of interest from evaluation of the time-variant characteristic.

14. The system of claim 13 , wherein the sensor station comprises an array of sensors.

15. The system of claim 13 , wherein the medium is selected from the group consisting of a gas and a liquid.

16. The system of claim 13 , wherein the agent of interest is a chemical.

17. The system of claim 13 , wherein the processor further employs a machine learning algorithm.

18. The system of claim 13 , wherein the medium is a liquid; and

wherein the medium oscillation source is further configured to:

create, in the liquid, a bubble of gas containing the agent of interest;

subject the sensor station to the oscillating flow of the gas in the bubble; and

stabilize the bubble in proximity to the sensor station for a time sufficient to complete subjecting the sensor station to the oscillating flow of medium containing the agent.

19. An agent detection method comprising:

creating, in a medium, a bubble of gas containing an agent of interest;

subjecting a sensor to an oscillating flow of the gas in the bubble;

establishing a time-variant characteristic associated with the agent of interest from information received from the sensor; and

detecting the agent of interest from evaluation of the time-variant characteristic;

wherein the bubble is stable in proximity to the sensor for a time sufficient to complete the step of subjecting the sensor to the oscillating flow.

20. The agent detection method of claim 19 further comprising continuously subjecting, establishing and detecting for a predetermined time period without sensor reset during the predetermined time period.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 23, 2022
From: HU, DAVID; LEE, ALEXANDER
To: GEORGIA TECH RESEARCH CORPORATION
Reel/Frame 059979/0969 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 23, 2022
From: SPENCER, THOMAS
To: GEORGIA TECH RESEARCH CORPORATION
Reel/Frame 059980/0086 →
Continuity (2)
Provisional Application 62624939 · Feb 1, 2018
Related Publication 20190234841A1 · Aug 1, 2019