Application of Raman Spectroscopy in Detection of Pathogenic Microorganisms

被引:0
|
作者
Liu Feng-xiang [1 ]
He Shuai [1 ]
Zhang Li-hao [1 ]
Huang Xia [1 ]
Song Yi-zhi [1 ]
机构
[1] Chinese Acad Sci, Suzhou Inst Biobed Engn & Technol, Biomed Diagnost Dept, Suzhou 215163, Peoples R China
关键词
Raman spectroscopy; Pathogenic microorganism; Rapid detection; Pathogenidentification; Antimicrobial susceptibility test; IDENTIFICATION;
D O I
10.3964/j.issn.1000-0593(2022)12-3653-06
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
Pathogenic microorganisms refer to microorganisms that can invade the human body and cause infections. Clinically, diseases caused by pathogenic microorganisms infection are extremely common. The traditional diagnosis of clinical pathogenic bacteria mainly relies on bacterial culture, but this method takes a long time and often takes 2-5 days to get the results, and there are some problems that the culture of bacteria is difficult or even impossible. Doctors who are unable to identify bacterial species and drug sensitivity use broad-spectrum antibiotics based on their experience to accelerate the emergence of bacterial resistance. Therefore, highly sensitive detection and identification of pathogenic microorganisms have become an important research direction of scholars at home and abroad. Raman spectroscopy is a kind of treatment of samples in situ, non-invasive, no mark detection technology, can be in the single cell level and provides different microbial cells biological molecular fingerprint information. Through this information, can determine the kinds of microorganisms, physical characteristics and mutation phenotype, achieve rapid detection of microbial samples. With the rapid development of laser spectroscopy and the continuous increase in clinical demand, sub-techniques with Raman spectroscopy detection technology as the core was born (such as surface-enhanced Raman spectroscopy, Fourier transform Raman spectroscopy, laser resonance Raman spectroscopy, confocal Raman microscopy, coherent anti-Stokes Raman spectroscopy, stimulated Raman spectroscopy and other related technologies), while improving the weak signal strength of the previous Raman spectroscopy technology to achieve High-precision rapid detection and analysis of microorganisms. Relying on its advantages of no restriction on the state of samples and the ability to detect small changes in the composition of substances, the research on Raman spectroscopy in the field of pathogenic microorganisms has been increasing in recent years. In this paper, the research status of microbial detection has carried on the investigation and analysis around the principle of Raman spectroscopy technology for its application in microbiological detection has carried on the detailed elaboration, mainly in pathogenic microorganisms identification with the technology and discusses the research progress in drug susceptibility testing, and with the traditional testing technology and advantages were analyzed. The differences between It provides a new method for rapid detection of pathogenic microorganisms.
引用
下载
收藏
页码:3653 / 3658
页数:6
相关论文
共 40 条
  • [1] Tracking heavy water (D2O) incorporation for identifying and sorting active microbial cells
    Berry, David
    Mader, Esther
    Lee, Tae Kwon
    Woebken, Dagmar
    Wang, Yun
    Zhu, Di
    Palatinszky, Marton
    Schintimeister, Arno
    Schmid, Markus C.
    Hanson, Buck T.
    Shterzer, Naama
    Mizrahi, Itzhak
    Rauch, Isabella
    Decker, Thomas
    Bocklitz, Thomas
    Popp, Jurgen
    Gibson, Christopher M.
    Fowler, Patrick W.
    Huang, Wei E.
    Wagner, Michael
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2015, 112 (02) : E194 - E203
  • [2] CHEN Xue-ping, 2019, THESIS 3 MILITARY ME
  • [3] DONG Jin-ying, 2018, THESIS DALIAN MED U
  • [4] FU Shi-jieff, 2020, THESIS CHANGCHUN U S
  • [5] GAO Jing, 2020, CHINA MED DEVICE INF, P12
  • [6] Raman spectral signature reflects transcriptomic features of antibiotic resistance in Escherichia coli
    Germond, Arno
    Ichimura, Taro
    Horinouchi, Takaaki
    Fujita, Hideaki
    Furusawa, Chikara
    Watanabe, Tomonobu M.
    [J]. COMMUNICATIONS BIOLOGY, 2018, 1
  • [7] GUO Zhen-dong, 2015, MILITARY MED SCI, P311
  • [8] Antibiotic Susceptibility Determination within One Cell Cycle at Single-Bacterium Level by Stimulated Raman Metabolic Imaging
    Hong, Weili
    Karanja, Caroline W.
    Abutaleb, Nader S.
    Younis, Waleed
    Zhang, Xueyong
    Seleem, Mohamed N.
    Cheng, Ji-Xin
    [J]. ANALYTICAL CHEMISTRY, 2018, 90 (06) : 3737 - 3743
  • [9] Surface-Enhanced Raman Spectroscopy for the Detection of a Metabolic Product in the Headspace Above Live Bacterial Cultures
    Kelly, Jessica
    Patrick, Robin
    Patrick, Sheila
    Bell, Steven E. J.
    [J]. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2018, 57 (48) : 15686 - 15690
  • [10] Global increase and geographic convergence in antibiotic consumption between 2000 and 2015
    Klein, Eili Y.
    Van Boeckel, Thomas P.
    Martinez, Elena M.
    Pant, Suraj
    Gandra, Sumanth
    Levin, Simon A.
    Goossens, Herman
    Laxminarayan, Ramanan
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2018, 115 (15) : E3463 - E3470