Rapid Identification of Legionella Pathogenicity by Surface-Enhanced Raman Spectroscopy

LI Jing; QIN Tian; JIA Xiao Xiao; DENG Ai Hua; ZHANG Xu; FAN Wen Hui; HUO Shuai Dong; WEN Ting Yi; LIU Wen Jun

doi:10.3967/bes2015.061

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Volume 28 Issue 6

Jun. 2015

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Article Navigation > Biomedical and Environmental Sciences > 2015 > 28(6): 437-444

LI Jing, QIN Tian, JIA Xiao Xiao, DENG Ai Hua, ZHANG Xu, FAN Wen Hui, HUO Shuai Dong, WEN Ting Yi, LIU Wen Jun. Rapid Identification of Legionella Pathogenicity by Surface-Enhanced Raman Spectroscopy[J]. Biomedical and Environmental Sciences, 2015, 28(6): 437-444. doi: 10.3967/bes2015.061

Citation:

LI Jing, QIN Tian, JIA Xiao Xiao, DENG Ai Hua, ZHANG Xu, FAN Wen Hui, HUO Shuai Dong, WEN Ting Yi, LIU Wen Jun. Rapid Identification of Legionella Pathogenicity by Surface-Enhanced Raman Spectroscopy[J]. Biomedical and Environmental Sciences, 2015, 28(6): 437-444. doi: 10.3967/bes2015.061

Rapid Identification of Legionella Pathogenicity by Surface-Enhanced Raman Spectroscopy

doi: 10.3967/bes2015.061

CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
National Institute for Communicable Disease Control and Prevention and State Key Laboratory for Infectious Disease Prevention and Control, Chinese Centre for Disease Control and Prevention, Beijing 102206, China
CAS Key Laboratory of Microbial Physiological and Metabolic Engineering, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China；6. National Center for Nanoscience and Technology, Chinese Academy of Sciences, Beijing 100190, China

Funds: This study was supported by National Key Technologies Research and Development Program of China(2013ZX10004-610)%China Ministry of Science and Technology (MOST) Project 973(2012CB955501)%WL is a principal investigator of the NSFC Innovative Research Group(Grant 81321063)

Abstract

Objective To establish Surface-enhanced Raman Spectroscopy (SERS) can be used as a rapid and reliable method to distinguish virulent strain and mild strain of L. pneumophila.
Methods We isolated and characterized of bacterial strains from ATCC and water samples strains, while we analyzed data from SERS technology using gold nanoparticles as a base and cell infections were employed to rapidly detect L. pneumophila strains. Origin 8.0 was used to collect Raman spectra, smooth and homogenize data, and to contrast spectra. Principal component analysis (PCA) was conducted to discriminate differences between groups using the multivariate analysis package PyChem 3.0.5.
Results Our results indicated that the peaks of high virulence strains reached≥4000. This criterion was verified by subsequent cell experiments. In addition, we also conducted SERS rapid identification on the virulence of several collected clinical strains and obtained accurate results.
Conclusion The present study indicates that the established SERS protocol can be used as a rapid and reliable method to distinguish virulent and mildly virulent strains of L. pneumophila, which can be further used in clinical samples.
- Legionella pneumophila,
- Surface-enhanced Raman Spectroscopy,
- Pathogenicity,
- Gold nanoparticles
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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

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Rapid Identification of Legionella Pathogenicity by Surface-Enhanced Raman Spectroscopy

doi: 10.3967/bes2015.061

CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China

National Institute for Communicable Disease Control and Prevention and State Key Laboratory for Infectious Disease Prevention and Control, Chinese Centre for Disease Control and Prevention, Beijing 102206, China

CAS Key Laboratory of Microbial Physiological and Metabolic Engineering, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China；6. National Center for Nanoscience and Technology, Chinese Academy of Sciences, Beijing 100190, China

Key words:

Abstract: Objective To establish Surface-enhanced Raman Spectroscopy (SERS) can be used as a rapid and reliable method to distinguish virulent strain and mild strain of L. pneumophila.
Methods We isolated and characterized of bacterial strains from ATCC and water samples strains, while we analyzed data from SERS technology using gold nanoparticles as a base and cell infections were employed to rapidly detect L. pneumophila strains. Origin 8.0 was used to collect Raman spectra, smooth and homogenize data, and to contrast spectra. Principal component analysis (PCA) was conducted to discriminate differences between groups using the multivariate analysis package PyChem 3.0.5.
Results Our results indicated that the peaks of high virulence strains reached≥4000. This criterion was verified by subsequent cell experiments. In addition, we also conducted SERS rapid identification on the virulence of several collected clinical strains and obtained accurate results.
Conclusion The present study indicates that the established SERS protocol can be used as a rapid and reliable method to distinguish virulent and mildly virulent strains of L. pneumophila, which can be further used in clinical samples.

Citation:

LI Jing, QIN Tian, JIA Xiao Xiao, DENG Ai Hua, ZHANG Xu, FAN Wen Hui, HUO Shuai Dong, WEN Ting Yi, LIU Wen Jun. Rapid Identification of Legionella Pathogenicity by Surface-Enhanced Raman Spectroscopy[J]. Biomedical and Environmental Sciences, 2015, 28(6): 437-444. doi: 10.3967/bes2015.061