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利用化学计量学分析和拉曼光谱法对食品腐败细菌种类及其耐氯化钠、乙酸钠和甘氨酸的能力进行分类。

Classification of food spoilage bacterial species and their sodium chloride, sodium acetate and glycine tolerance using chemometrics analysis and Raman spectroscopy.

机构信息

Graduate School of Agricultural Science, Hokkaido University, Kita-9, Nishi-9, Kita-ku, Sapporo 060-8589, Japan; Food Development Labs., Functional Food Division, Nippon Shinyaku Co., LTD., 14, Nishinosho-Monguchi-cho, Kisshoin, Minami-ku, Kyoto 601-8550, Japan.

Research Institute for Electronic Science, Hokkaido University, Kita-20, Nishi-10, Kita-ku, Sapporo 001-0020, Japan.

出版信息

J Microbiol Methods. 2021 Nov;190:106326. doi: 10.1016/j.mimet.2021.106326. Epub 2021 Sep 10.

DOI:10.1016/j.mimet.2021.106326
PMID:34517040
Abstract

The purpose is classification of stress tolerances of spoilage bacteria using Raman spectra and chemometrics. We obtained Raman spectra of six spoilage bacteria. Classification models were constructed with support vector machine and classified food-related stress tolerance with 90% accuracy, which provides bacterial characteristics specific to environment reducing food spoilage.

摘要

目的是使用拉曼光谱和化学计量学对腐败菌的应激耐受性进行分类。我们得到了六种腐败菌的拉曼光谱。使用支持向量机构建了分类模型,其对与食品相关的应激耐受性的分类准确率达到了 90%,这为减少食品腐败提供了具有环境特异性的细菌特征。

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