Biosensor method and system based on feature vector extraction
Abstract
A system for biosensor-based detection of toxins includes providing at least one time-dependent control signal generated by a biosensor in a gas or liquid medium, and obtaining a time-dependent biosensor signal from the biosensor in the gas or liquid medium to be monitored or analyzed for the presence of one or more toxins selected from chemical, biological or radiological agents. The time-dependent biosensor signal is processed to obtain a plurality of feature vectors using at least one of amplitude statistics and a time-frequency analysis. At least one parameter relating to toxicity of the gas or liquid medium is then determined from the feature vectors based on reference to the control signal.
- Inventors:
- Issue Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1086740
- Patent Number(s):
- 8476062
- Application Number:
- 13/431,664
- Assignee:
- University of Tennessee Research Foundation (Knoxville, TN); UT-Battelle, LLC (Oak Ridge, TN)
- Patent Classifications (CPCs):
-
C - CHEMISTRY C12 - BIOCHEMISTRY C12Q - MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS
- DOE Contract Number:
- AC05-00OR22725
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION
Citation Formats
Greenbaum, Elias, Rodriguez, Jr., Miguel, Qi, Hairong, and Wang, Xiaoling. Biosensor method and system based on feature vector extraction. United States: N. p., 2013.
Web.
Greenbaum, Elias, Rodriguez, Jr., Miguel, Qi, Hairong, & Wang, Xiaoling. Biosensor method and system based on feature vector extraction. United States.
Greenbaum, Elias, Rodriguez, Jr., Miguel, Qi, Hairong, and Wang, Xiaoling. Tue .
"Biosensor method and system based on feature vector extraction". United States. https://www.osti.gov/servlets/purl/1086740.
@article{osti_1086740,
title = {Biosensor method and system based on feature vector extraction},
author = {Greenbaum, Elias and Rodriguez, Jr., Miguel and Qi, Hairong and Wang, Xiaoling},
abstractNote = {A system for biosensor-based detection of toxins includes providing at least one time-dependent control signal generated by a biosensor in a gas or liquid medium, and obtaining a time-dependent biosensor signal from the biosensor in the gas or liquid medium to be monitored or analyzed for the presence of one or more toxins selected from chemical, biological or radiological agents. The time-dependent biosensor signal is processed to obtain a plurality of feature vectors using at least one of amplitude statistics and a time-frequency analysis. At least one parameter relating to toxicity of the gas or liquid medium is then determined from the feature vectors based on reference to the control signal.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jul 02 00:00:00 EDT 2013},
month = {Tue Jul 02 00:00:00 EDT 2013}
}
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