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光谱技术在食源性致病菌检测中的应用
引用本文:王成,陆雨菲,刘箐.光谱技术在食源性致病菌检测中的应用[J].光学仪器,2019,41(1):85-94.
作者姓名:王成  陆雨菲  刘箐
作者单位:上海理工大学 医疗器械与食品学院 生物医学光学与视光学研究所,上海,200093;上海理工大学 医疗器械与食品学院 系统生物医学研究中心,上海,200093
摘    要:如何快速准确地对食源性致病菌进行检测,是控制食品安全问题的关键。传统的生化培养方法操作繁琐、费时费力,无法满足食源性致病菌快速检测的需求。随着光谱技术的发展,已经建立了不少快速、简便、特异、敏感、低耗的食源性致病菌检测新技术。阐述了食源性致病菌光谱分析的最新研究和发展趋势,展望了弹性散射光谱技术在单细胞水平实时、快速、无标记自动识别单个菌体细胞的应用,此平台的搭建将推动食源性致病菌无损检测技术的发展。

关 键 词:光谱学  食源性致病菌  光散射  检测
收稿时间:2018/5/28 0:00:00

Spectral technique in the detection of foodborne pathogenic bacteria
WANG Cheng,LU Yufei and LIU Qing.Spectral technique in the detection of foodborne pathogenic bacteria[J].Optical Instruments,2019,41(1):85-94.
Authors:WANG Cheng  LU Yufei and LIU Qing
Affiliation:Institute of Biomedical Optics and Optometry, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China,Institute of Biomedical Optics and Optometry, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China and Center for Systems Biomedicine, School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
Abstract:Quick and sensitive detection of foodborne pathogenic bacteria is a key to control food safety. Routine detection methods are so cumbersome and time-consuming that it is difficult to meet the needs of foodborne disease prevention and control. With the development of spectroscopic technologies, researchers have established many new techniques to detect bacteria. They are fast, simple, specific, sensitive, and with low-consumption. Latest spectroscopy research and development trends of foodborne pathogens have been summarized in this paper. It is proposed that single-cell level real-time and fast unmarked automatic identification of individual bacterial cells will be widely applied in the field of non-destructive testing of foodborne pathogenic bacteria.
Keywords:spectroscopy  foodborne pathogenic bacteria  light scattering  detection
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