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

doi: 10.3967/bes2015.061

基金项目: 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)

Rapid Identification of Legionella Pathogenicity by Surface-Enhanced Raman Spectroscopy

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)

摘要: 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.
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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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doi: 10.3967/bes2015.061

Rapid Identification of Legionella Pathogenicity by Surface-Enhanced Raman Spectroscopy

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Rapid Identification of Legionella Pathogenicity by Surface-Enhanced Raman Spectroscopy

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Rapid Identification of Legionella Pathogenicity by Surface-Enhanced Raman Spectroscopy

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doi: 10.3967/bes2015.061

Rapid Identification of Legionella Pathogenicity by Surface-Enhanced Raman Spectroscopy

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Rapid Identification of Legionella Pathogenicity by Surface-Enhanced Raman Spectroscopy

doi: 10.3967/bes2015.061

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Rapid Identification of Legionella Pathogenicity by Surface-Enhanced Raman Spectroscopy

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