Literature DB >> 32050503

Lab-Made Electronic Nose for Fast Detection of Listeria monocytogenes and Bacillus cereus.

Prima Febri Astantri1,2, Wredha Sandhi Ardha Prakoso1,2, Kuwat Triyana3,4, Tri Untari5, Claude Mona Airin6, Pudji Astuti6.   

Abstract

The aim of this study is to determine the performance of a lab-made electronic nose (e-nose) composed of an array of metal oxide semiconductor (MOS) gas sensors in the detection and differentiation of Listeria monocytogenes (L. monocytogenes) and Bacillus cereus (B. cereus) incubated in trypticsoy broth (TSB) media. Conventionally, the detection of L. monocytogenes and B. cereus is often performed by enzyme link immunosorbent assay (ELISA) and polymerase chain reaction (PCR). These techniques require trained operators and expert, expensive reagents and specific containment. In this study, three types of samples, namely, TSB media, L. monocytogenes (serotype 4b American Type Culture Collection (ATCC) 13792), and B. cereus (ATCC) 10876, were used for this experiment. Prior to measurement using the e-nose, each bacterium was inoculated in TSB at 1 × 103-104 CFU/mL, followed by incubation for 48 h. To evaluate the performance of the e-nose, the measured data were then analyzed with chemometric models, namely linear and quadratic discriminant analysis (LDA and QDA), and support vector machine (SVM). As a result, the e-nose coupled with SVM showeda high accuracy of 98% in discriminating between TSB media and L. monocytogenes, and between TSB media and B. cereus. It could be concluded that the lab-made e-nose is able to detect rapidly the presence of bacteria L. monocytogenes and B. cereus on TSB media. For the future, it could be used to identify the presence of L. monocytogenes or B. cereus contamination in the routine and fast assessment of food products in animal quarantine.

Entities:  

Keywords:  Bacillus cereus; LDA; Listeria monocytogenes; QDA; SVM; electronic nose

Year:  2020        PMID: 32050503     DOI: 10.3390/vetsci7010020

Source DB:  PubMed          Journal:  Vet Sci        ISSN: 2306-7381


  2 in total

Review 1.  Recent Advances and Applications of Rapid Microbial Assessment from a Food Safety Perspective.

Authors:  George Pampoukis; Anastasia E Lytou; Anthoula A Argyri; Efstathios Z Panagou; George-John E Nychas
Journal:  Sensors (Basel)       Date:  2022-04-06       Impact factor: 3.576

2.  2D nanomaterial sensing array using machine learning for differential profiling of pathogenic microbial taxonomic identification.

Authors:  Zhijun Li; Yizhou Jiang; Shihuan Tang; Haixia Zou; Wentao Wang; Guangpei Qi; Hongbo Zhang; Kun Jin; Yuhe Wang; Hong Chen; Liyuan Zhang; Xiangmeng Qu
Journal:  Mikrochim Acta       Date:  2022-07-06       Impact factor: 6.408

  2 in total

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