Gas sensor array to classify the chicken meat with E. coli contaminant by using random forest and support vector machine

Suryani DyahAstuti,, .- and Mohammad H.Tamimi, .- and Anak A.S.Pradhana,, .- and Kartika A.Alamsyah, .- and Hery Purnobasuki, .- and Miratul Khasanah, .- and Yunus Susilo,, .- and Kuwat Triyana,, .- and Muhammad Kashif, .- and Ardiyansyah Syahromg, .- (2021) Gas sensor array to classify the chicken meat with E. coli contaminant by using random forest and support vector machine. Biosensors and Bioelectronics: X, 9 (2021). pp. 1-5. ISSN 25901370

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Microbes such as Escherichia coli (E. coli) can easily contaminate raw chicken meat in clean conditions, causing decay and unpleasant scents. This study aims to characterize gas patterns by comparing fresh chicken meat and E. coli bacteria contaminated chicken meat based on shelf life using a Gas Sensor Array (GSA) system (MQ2, MQ3, MQ7, MQ8, MQ135, and MQ136) on electronic nose. The findings revealed GSA capability to detect a variety of typical gas patterns formed by the samples. This gas detection property is indicated by the appearance of the variance in the sensors output voltage pattern for each sample variation. The data for fresh and contaminated samples were classified by the random forest (RF) classifier with 99.25% and 98.42% precision, respectively. Furthermore, the support vector machine (SVM) classifier correctly identified the fresh and contaminated samples with 98.61% and 86.66% accuracy, respectively. This finding offers insight for GSA capability in classifying chicken meat contaminated with E. coli using an RF and SVM.

Item Type: Article
Uncontrolled Keywords: Food securityChicken meatE. coliSupport vector machineRandom forestGas sensor array
Subjects: Q Science
Q Science > Q Science (General)
Divisions: 08. Fakultas Sains dan Teknologi > Kimia
Suryani DyahAstuti,, .-UNSPECIFIED
Mohammad H.Tamimi, .-UNSPECIFIED
Anak A.S.Pradhana,, .-UNSPECIFIED
Kartika A.Alamsyah, .-UNSPECIFIED
Hery Purnobasuki, .-UNSPECIFIED
Miratul Khasanah, .-UNSPECIFIED
Yunus Susilo,, .-UNSPECIFIED
Kuwat Triyana,, .-UNSPECIFIED
Muhammad Kashif, .-UNSPECIFIED
Ardiyansyah Syahromg, .-UNSPECIFIED
Depositing User: Mr Vega Andi Budiman
Date Deposited: 09 May 2023 00:57
Last Modified: 03 Jun 2023 07:09
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