Chinese Journal of Lasers, Volume. 48, Issue 3, 0311002(2021)

Recognition of Food-Borne Pathogenic Bacteria by Raman Spectroscopy Based on Random Forest Algorithm

Qi Wang1, Wandan Zeng1、*, Zhiping Xia2、*, Zhiping Li2, and Han Qu2
Author Affiliations
  • 1College of Computer Science and Information Engineering, Shanghai Institute of Technology, Shanghai 201418, China
  • 2Military Veterinary Institute, Changchun, Jilin 130062, China
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    References(23)

    [1] Gao Y, Yin X B, Wang T. PCR assay for enteropathogenic bacteria and evaluation of its application value[J]. Capital Food Medicine, 26, 101(2019).

    [2] Pannetier C. PCR[J]. Immunology Today, 17, 590(1996).

    [4] Zhang M. Rapid identification of species' blood based on Raman spectroscopy[D]. Nanchang: Nanchang University(2018).

    [12] Ma L. Research on optimization and improvement of random forests algorithm[D]. Guangzhou: Jinan University(2016).

    [13] Xie J F, Luo J, Xu M et al[J]. Study on identifi cation of 100% cotton textile by Raman spectroscopy and random forest method China Fiber Inspection, 2014, 76-78.

    [15] Lin K, Hu Y, Kong G. Predicting in-hospital mortality of patients with acute kidney injury in the ICU using random forest model[J]. International Journal of Medical Informatics, 125, 55-61(2019).

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    Qi Wang, Wandan Zeng, Zhiping Xia, Zhiping Li, Han Qu. Recognition of Food-Borne Pathogenic Bacteria by Raman Spectroscopy Based on Random Forest Algorithm[J]. Chinese Journal of Lasers, 2021, 48(3): 0311002

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    Paper Information

    Category: spectroscopy

    Received: Jul. 6, 2020

    Accepted: Sep. 14, 2020

    Published Online: Feb. 2, 2021

    The Author Email: Zeng Wandan (zengwd@sit.edu.cn), Xia Zhiping (zengwd@sit.edu.cn)

    DOI:10.3788/CJL202148.0311002

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