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

Main Authors: Prakoso, Wredha Sandhi Ardha; Postgraduate of Veterinary Science, Faculty of Veterinary Medicine, Gadjah Mada University, Yogyakarta 55281, Indonesia, Astantri, Prima Febri; Postgraduate of Veterinary Science, Faculty of Veterinary Medicine, Gadjah Mada University, Yogyakarta 55281, Indonesia, Triyana, Kuwat; Department of Physics, Faculty of Mathematics and Natural Science, Gadjah Mada University, Yogyakarta 55281, Indonesia, Untari, Tri; Department of Microbiology, Faculty of Veterinary Medicine, Gadjah Mada University, Yogyakarta 55281, Indonesia, Airin, Claude Mona; Department of Physiology, Faculty of Veterinary Medicine, Gadjah Mada University, Yogyakarta 55281, Indonesia, Astuti, Pudji; Institute of Halal Industry and System (IHIS) Gadjah Mada University, Yogyakarta 55281, Indonesia
Other Authors: The Ministry of Agriculture, Universitas Gadjah Mada, PTUPT 2019, Shidiq Nur Hidayat, Trisna Julian
Format: Article info application/pdf eJournal
Bahasa: eng
Terbitan: International Journal on Advanced Science, Engineering and Information Technology , 2021
Subjects:
Online Access: http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/12844
http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/12844/pdf_1850
Daftar Isi:
  • 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.