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Rapid Detection of Escherchia coli and Salmonella Typhimurium Using Lab-Made Electronic Nose Coupled with Chemometric Tools

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@article{IJASEIT12844,
   author = {Wredha Sandhi Ardha Prakoso and Prima Febri Astantri and Kuwat Triyana and Tri Untari and Claude Mona Airin and Pudji Astuti},
   title = {Rapid Detection of Escherchia coli and Salmonella Typhimurium Using Lab-Made Electronic Nose Coupled with Chemometric Tools},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {4},
   year = {2021},
   pages = {1494--1500},
   keywords = {Electronic nose; Escherichia coli; Salmonella Typhimurium; chemometric; metabolic volatile organic compounds.},
   abstract = {This study aims to investigate the performance of a lab-made electronic nose coupled with chemometric tools for detecting Escherichia coli (E. coli) and Salmonella Typhimurium (S. Typhimurium) inoculated in media. The pathogenic E. coli and S. Typhimurium play a significant role as the agent causing food-borne diseases, posing a threat to human health worldwide. Some advanced analytical instruments like RT-PCR and GC-MS are often used for detecting such pathogenic bacteria. Unfortunately, they are not suitable for rapid and routine measurements because of time-consuming, require experts, and complicated sample preparation. Otherwise, electronic nose (e-nose) has been reported to be successful for profiling volatile compounds released by various biological materials. The e-nose comprised eight types of metal oxide gas sensors connected with a data acquisition system and chemometric tools. For this purpose, Fast Fourier Transform (FFT) was applied for signal pre-processing and feature extraction to all datasets collected by the sensor array in the e-nose. Furthermore, chemometric tools are used for classification models of all extracted features, including linear and quadratic discriminant analysis (LDA and QDA) and support vector machine (SVM). As a result, SVM showed the highest performance, enabling identifying E. coli and S. Typhimurium inoculated TSB with an accuracy of 99% and 98%, respectively. Among the chemometric tools, the e-nose-SVM also resulted in the highest accuracy in differentiating E. coli from S. Typhimurium of 84%. These results motivated e-nose to have a high prospect to rapidly detect such bacteria for food safety and quality control inspection, particularly potential quarantine products.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12844},
   doi = {10.18517/ijaseit.11.4.12844}
}

EndNote

%A Prakoso, Wredha Sandhi Ardha
%A Astantri, Prima Febri
%A Triyana, Kuwat
%A Untari, Tri
%A Airin, Claude Mona
%A Astuti, Pudji
%D 2021
%T Rapid Detection of Escherchia coli and Salmonella Typhimurium Using Lab-Made Electronic Nose Coupled with Chemometric Tools
%B 2021
%9 Electronic nose; Escherichia coli; Salmonella Typhimurium; chemometric; metabolic volatile organic compounds.
%! Rapid Detection of Escherchia coli and Salmonella Typhimurium Using Lab-Made Electronic Nose Coupled with Chemometric Tools
%K Electronic nose; Escherichia coli; Salmonella Typhimurium; chemometric; metabolic volatile organic compounds.
%X This study aims to investigate the performance of a lab-made electronic nose coupled with chemometric tools for detecting Escherichia coli (E. coli) and Salmonella Typhimurium (S. Typhimurium) inoculated in media. The pathogenic E. coli and S. Typhimurium play a significant role as the agent causing food-borne diseases, posing a threat to human health worldwide. Some advanced analytical instruments like RT-PCR and GC-MS are often used for detecting such pathogenic bacteria. Unfortunately, they are not suitable for rapid and routine measurements because of time-consuming, require experts, and complicated sample preparation. Otherwise, electronic nose (e-nose) has been reported to be successful for profiling volatile compounds released by various biological materials. The e-nose comprised eight types of metal oxide gas sensors connected with a data acquisition system and chemometric tools. For this purpose, Fast Fourier Transform (FFT) was applied for signal pre-processing and feature extraction to all datasets collected by the sensor array in the e-nose. Furthermore, chemometric tools are used for classification models of all extracted features, including linear and quadratic discriminant analysis (LDA and QDA) and support vector machine (SVM). As a result, SVM showed the highest performance, enabling identifying E. coli and S. Typhimurium inoculated TSB with an accuracy of 99% and 98%, respectively. Among the chemometric tools, the e-nose-SVM also resulted in the highest accuracy in differentiating E. coli from S. Typhimurium of 84%. These results motivated e-nose to have a high prospect to rapidly detect such bacteria for food safety and quality control inspection, particularly potential quarantine products.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12844
%R doi:10.18517/ijaseit.11.4.12844
%J International Journal on Advanced Science, Engineering and Information Technology
%V 11
%N 4
%@ 2088-5334

IEEE

Wredha Sandhi Ardha Prakoso,Prima Febri Astantri,Kuwat Triyana,Tri Untari,Claude Mona Airin and Pudji Astuti,"Rapid Detection of Escherchia coli and Salmonella Typhimurium Using Lab-Made Electronic Nose Coupled with Chemometric Tools," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 4, pp. 1494-1500, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.4.12844.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Prakoso, Wredha Sandhi Ardha
AU  - Astantri, Prima Febri
AU  - Triyana, Kuwat
AU  - Untari, Tri
AU  - Airin, Claude Mona
AU  - Astuti, Pudji
PY  - 2021
TI  - Rapid Detection of Escherchia coli and Salmonella Typhimurium Using Lab-Made Electronic Nose Coupled with Chemometric Tools
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 4
Y2  - 2021
SP  - 1494
EP  - 1500
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Electronic nose; Escherichia coli; Salmonella Typhimurium; chemometric; metabolic volatile organic compounds.
N2  - This study aims to investigate the performance of a lab-made electronic nose coupled with chemometric tools for detecting Escherichia coli (E. coli) and Salmonella Typhimurium (S. Typhimurium) inoculated in media. The pathogenic E. coli and S. Typhimurium play a significant role as the agent causing food-borne diseases, posing a threat to human health worldwide. Some advanced analytical instruments like RT-PCR and GC-MS are often used for detecting such pathogenic bacteria. Unfortunately, they are not suitable for rapid and routine measurements because of time-consuming, require experts, and complicated sample preparation. Otherwise, electronic nose (e-nose) has been reported to be successful for profiling volatile compounds released by various biological materials. The e-nose comprised eight types of metal oxide gas sensors connected with a data acquisition system and chemometric tools. For this purpose, Fast Fourier Transform (FFT) was applied for signal pre-processing and feature extraction to all datasets collected by the sensor array in the e-nose. Furthermore, chemometric tools are used for classification models of all extracted features, including linear and quadratic discriminant analysis (LDA and QDA) and support vector machine (SVM). As a result, SVM showed the highest performance, enabling identifying E. coli and S. Typhimurium inoculated TSB with an accuracy of 99% and 98%, respectively. Among the chemometric tools, the e-nose-SVM also resulted in the highest accuracy in differentiating E. coli from S. Typhimurium of 84%. These results motivated e-nose to have a high prospect to rapidly detect such bacteria for food safety and quality control inspection, particularly potential quarantine products.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12844
DO  - 10.18517/ijaseit.11.4.12844

RefWorks

RT Journal Article
ID 12844
A1 Prakoso, Wredha Sandhi Ardha
A1 Astantri, Prima Febri
A1 Triyana, Kuwat
A1 Untari, Tri
A1 Airin, Claude Mona
A1 Astuti, Pudji
T1 Rapid Detection of Escherchia coli and Salmonella Typhimurium Using Lab-Made Electronic Nose Coupled with Chemometric Tools
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 4
YR 2021
SP 1494
OP 1500
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Electronic nose; Escherichia coli; Salmonella Typhimurium; chemometric; metabolic volatile organic compounds.
AB This study aims to investigate the performance of a lab-made electronic nose coupled with chemometric tools for detecting Escherichia coli (E. coli) and Salmonella Typhimurium (S. Typhimurium) inoculated in media. The pathogenic E. coli and S. Typhimurium play a significant role as the agent causing food-borne diseases, posing a threat to human health worldwide. Some advanced analytical instruments like RT-PCR and GC-MS are often used for detecting such pathogenic bacteria. Unfortunately, they are not suitable for rapid and routine measurements because of time-consuming, require experts, and complicated sample preparation. Otherwise, electronic nose (e-nose) has been reported to be successful for profiling volatile compounds released by various biological materials. The e-nose comprised eight types of metal oxide gas sensors connected with a data acquisition system and chemometric tools. For this purpose, Fast Fourier Transform (FFT) was applied for signal pre-processing and feature extraction to all datasets collected by the sensor array in the e-nose. Furthermore, chemometric tools are used for classification models of all extracted features, including linear and quadratic discriminant analysis (LDA and QDA) and support vector machine (SVM). As a result, SVM showed the highest performance, enabling identifying E. coli and S. Typhimurium inoculated TSB with an accuracy of 99% and 98%, respectively. Among the chemometric tools, the e-nose-SVM also resulted in the highest accuracy in differentiating E. coli from S. Typhimurium of 84%. These results motivated e-nose to have a high prospect to rapidly detect such bacteria for food safety and quality control inspection, particularly potential quarantine products.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=12844
DO  - 10.18517/ijaseit.11.4.12844