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논문 기본 정보

자료유형
학술저널
저자정보
Ahyeong Lee (Rural Development Administration) Youngwook Seo (Rural Development Administration) Jongguk Lim (Rural Development Administration) Saetbyeol Park (Rural Development Administration) Jinyoung Yoo (Rural Development Administration) Balgeum Kim (Rural Development Administration) Giyoung Kim (Rural Development Administration)
저널정보
충남대학교 농업과학연구소 Korean Journal of Agricultural Science Korean Journal of Agricultural Science Vol.47 No.3
발행연도
2020.9
수록면
645 - 655 (11page)

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초록· 키워드

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Bacteria are a very common cause of food poisoning. Moreover, bacteria form biofilms to protect themselves from harsh environments. Conventional detection methods for foodborne bacterial pathogens including the plate count method, enzyme-linked immunosorbent assays (ELISA), and polymerase chain reaction (PCR) assays require a lot of time and effort. Hyperspectral imaging has been used for food safety because of its non-destructive and real-time detection capability. This study assessed the feasibility of using hyperspectral imaging and machine learning techniques to detect biofilms formed by Escherichia coli. E. coli was cultured on a high-density polyethylene (HDPE) coupon, which is a main material of food processing facilities. Hyperspectral fluorescence images were acquired from 420 to 730 nm and analyzed by a single wavelength method and machine learning techniques to determine whether an E. coli culture was present. The prediction accuracy of a biofilm by the single wavelength method was 84.69%. The prediction accuracy by the machine learning techniques were 87.49, 91.16, 86.61, and 86.80% for decision tree (DT), k-nearest neighbor (k- NN), linear discriminant analysis (LDA), and partial least squares-discriminant analysis (PLSDA), respectively. This result shows the possibility of using machine learning techniques, especially the k-NN model, to effectively detect bacterial pathogens and confirm food poisoning through hyperspectral images.

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Abstract
Introduction
Materials and Methods
Results and Discussion
Conclusion
References

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