Ternary Fingerprints with Reference Odor for Fluctuation-Enhanced Sensing.

cow manure bacteria fluctuation enhanced sensing odor sensing, trinary fingerprints

Journal

Biosensors
ISSN: 2079-6374
Titre abrégé: Biosensors (Basel)
Pays: Switzerland
ID NLM: 101609191

Informations de publication

Date de publication:
09 Aug 2020
Historique:
received: 29 06 2020
revised: 01 08 2020
accepted: 05 08 2020
entrez: 14 8 2020
pubmed: 14 8 2020
medline: 15 4 2021
Statut: epublish

Résumé

An improved method for fluctuation-enhanced sensing (FES) is introduced. We enhanced the old binary fingerprinting method, where the fingerprint bit values were ±1, by introducing ternary fingerprint bits utilizing a reference odor. In the ternary method, the fingerprint bit values are -1, 0, and +1, where the 0 value stands for the situation where the slope of the spectrum is identical to that of the reference odor. The application of the reference odor spectrum makes the fingerprint relative to the reference. The ternary nature and the reference feature increase the information entropy of the fingerprints. The method is briefly illustrated by sensing bacterial odor in cow manure isolates.

Identifiants

pubmed: 32784841
pii: bios10080093
doi: 10.3390/bios10080093
pmc: PMC7459463
pii:
doi:

Substances chimiques

Manure 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2010;10(1):361-73
pubmed: 22315545
BMC Bioinformatics. 2012 Nov 06;13:290
pubmed: 23130999
BMC Bioinformatics. 2016 Feb 24;17:97
pubmed: 26911432

Auteurs

Xiaoyu Yu (X)

Department of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77843-2117, USA.
School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519000, China.

Laszlo B Kish (LB)

Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843-3128, USA.

Jean-Luc Seguin (JL)

Institute of Materials, Microelectronics and Nanosciences in Provence, Aix Marseille University, University of Toulon, CNRS, IM2NP, 13397 Marseille, France.

Maria D King (MD)

Department of Biological and Agricultural Engineering, Texas A&M University, College Station, TX 77843-2117, USA.

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Classifications MeSH