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Evaluation of a commercial electronic nose system coupled with universal gas sensing chamber for sensing indicator compounds associated with meat safety

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Sensing and Instrumentation for Food Quality and Safety : Volume 9, Issue 1, March 2015

Sensing and Instrumentation for Food Quality and Safety : Volume 8

Sensing and Instrumentation for Food Quality and Safety : Volume 7

Sensing and Instrumentation for Food Quality and Safety : Volume 6

Sensing and Instrumentation for Food Quality and Safety : Volume 5

Sensing and Instrumentation for Food Quality and Safety : Volume 4

Sensing and Instrumentation for Food Quality and Safety : Volume 3

Sensing and Instrumentation for Food Quality and Safety : Volume 2

Sensing and Instrumentation for Food Quality and Safety : Volume 1

Evaluation of a commercial electronic nose system coupled with universal gas sensing chamber for sensing indicator compounds associated with meat safety

Content Provider	Springer Nature Link
Author	Mohapatra, Punyatoya Panigrahi, Suranjan Amamcharla, Jayendra
Copyright Year	2014
Abstract	This study was conducted to evaluate the performance of a commercial electronic nose (Cyranose 320™) for sensing indicator compounds (ethanol and acetic acid) associated with spoiled beef. The present study reported the sensitivity of an array of 32 sensors to ethanol and acetic acid. Different vapor concentrations of ethanol (37, 100, 250 and 500 ppm) and acetic acid (38, 75, 100, 200 and 300 ppm) were tested to evaluate the performance of the commercial system. An in-house designed universal gas sensing and characterization system was coupled with the electronic nose system to generate the desired gas concentration. The raw smell print patterns were obtained and analyzed for individual and multiple detectors. Tukey’s multiple comparison technique was performed to analyze the response of individual detectors. Area above and below the baseline were selected as two features for pair wise comparison of the detectors. Different sensors showed different responses between various concentrations of gases. Analysis of multiple detectors was performed using linear and quadratic discriminant analysis (LDA and QDA) along with bootstrap. LDA along with bootstrap provided the highest total classification accuracies of 94.34 % between 100 and 200 ppm of acetic acid. QDA provided higher total classification accuracy of 89.69 % at lower concentration level of 38 and 75 ppm for acetic acid and 84.78 % between 37 and 100 ppm of ethanol. Hence, QDA was a better model of choice at lower concentrations. This study proved non-selective nature of sensors and showed that simultaneous use of multiple sensor information provided better classification accuracy for discriminating various gas concentrations as compared to using individual sensor output.
Starting Page	121
Ending Page	129
Page Count	9
File Format	PDF
ISSN	21934126
Journal	Sensing and Instrumentation for Food Quality and Safety
Volume Number	9
Issue Number	2
e-ISSN	21934134
Language	English
Publisher	Springer US
Publisher Date	2015-01-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Electronic nose Universal gas sensing and characterization system Cyranose 320™ Conducting polymers Sensor Ethanol Acetic acid Food Science Chemistry/Food Science Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Chemical Engineering Safety, Risk, Reliability and Quality Food Science

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Evaluation of a commercial electronic nose system coupled with universal gas sensing chamber for sensing indicator compounds associated with meat safety