高等学校化学学报 ›› 2020, Vol. 41 ›› Issue (5): 872-883.doi: 10.7503/cjcu20190684

• 庆祝《高等学校化学学报》复刊40周年专栏 • 上一篇    下一篇

基于拉曼光谱的细菌检测研究进展

李文帅1,3,武国瑞2,3,张茜菁3,岳爱琴2,杜维俊2,赵晋忠1,*(),刘定斌3,*()   

  1. 1. 山西农业大学文理学院
    2. 农学院, 太谷 030800
    3. 南开大学化学学院, 药物化学生物学国家重点实验室, 天津 300350
  • 收稿日期:2019-12-17 出版日期:2020-05-10 发布日期:2020-02-26
  • 通讯作者: 赵晋忠,刘定斌 E-mail:zhaojinzhongnd@126.com;liudb@nankai.edu.cn
  • 基金资助:
    国家自然科学基金(21775075);国家自然科学基金(21977053)

Advances in Bacterial Detection Based on Raman Spectroscopy

LI Wenshuai1,3,WU Guorui2,3,ZHANG Xijing3,YUE Aiqin2,DU Weijun2,ZHAO Jinzhong1,*(),LIU Dingbin3,*()   

  1. 1. College of Arts and Sciences
    2. College of Agriculture, Shanxi Agricultural University, Taigu 030800, China
    3. College of Chemistry and State Key Laboratory of Medicinal Chemical Biology,Nankai University, Tianjin 300071, China
  • Received:2019-12-17 Online:2020-05-10 Published:2020-02-26
  • Contact: Jinzhong ZHAO,Dingbin LIU E-mail:zhaojinzhongnd@126.com;liudb@nankai.edu.cn
  • Supported by:
    † Supported by the National Natural Science Foundation of China(21775075);† Supported by the National Natural Science Foundation of China(21977053)

摘要:

细菌是一种与人类生命活动息息相关的微生物, 其快速、 高灵敏检测对重大传染性疾病的防控至关重要. 本文介绍了拉曼光谱用于细菌检测的基本原理, 综述了3种拉曼光谱用于细菌检测的主要方式, 包括细菌组成成分检测、 细菌代谢物检测以及基于拉曼探针标记的检测模式, 并对各种拉曼检测方法进行了分析比较. 最后, 展望了拉曼光谱在细菌检测领域的发展前景, 并提出了5条建议.

关键词: 拉曼光谱, 细菌检测, 表面增强拉曼光谱

Abstract:

Bacteria is a kind of microorganism that is closely related to human activities, and its rapid and highly sensitive detection is very important for the prevention and control of major infectious diseases. In this paper, the basic principle of Raman spectroscopy for bacterial detection is introduced, and three main methods of Raman spectroscopy for bacterial detection, including bacterial composition detection, bacterial metabolites detection and Raman probe labeling based detection mode, are reviewed and compared. Finally, the development prospect of Raman spectroscopy in the field of bacterial detection was prospected, and five suggestions were put forward.

Key words: Raman spectroscopy, Bacterial detection, Surface-enhanced Raman spectroscopy

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