title: Rapid Identification of Legionella Pathogenicity by Surface-Enhanced Raman Spectroscopy.
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
  Mortality data were collected from company departments through administrative documents, death certificates, etc. Trend analyses of cancer mortality were performed on the basis of 925 cancer deaths between 2001 and 2010.
  
  
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Li
authors.affiliation: 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; Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, Zhejiang, Chinaa.
authors.forename: Tian
authors.initials: T
authors.lastname: Qin
authors.affiliation: CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
authors.forename: Xiao Xiao
authors.initials: XX
authors.lastname: Jia
authors.affiliation: CAS Key Laboratory of Microbial Physiological and Metabolic Engineering, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
authors.forename: Ai Hua
authors.initials: AH
authors.lastname: Deng
authors.affiliation: National Center for Nanoscience and Technology, Chinese Academy of Sciences, Beijing 100190, China.
authors.forename: Xu
authors.initials: X
authors.lastname: Zhang
authors.affiliation: CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
authors.forename: Wen Hui
authors.initials: WH
authors.lastname: Fan
authors.affiliation: National Center for Nanoscience and Technology, Chinese Academy of Sciences, Beijing 100190, China.
authors.forename: Shuai Dong
authors.initials: SD
authors.lastname: Huo
authors.affiliation: CAS Key Laboratory of Microbial Physiological and Metabolic Engineering, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
authors.forename: Ting Yi
authors.initials: TY
authors.lastname: Wen
authors.affiliation: CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
authors.forename: Wen Jun
authors.initials: WJ
authors.lastname: Liu
mesh_terms: D002460:Cell Line; D019343:Citric Acid / Q000737:chemistry; D006046:Gold / Q000737:chemistry; D006801:Humans; D007875:Legionella / Q000302:isolation & purification* / Q000472:pathogenicity*; D053758:Nanoparticles / Q000737:chemistry; D013059:Spectrum Analysis, Raman / Q000379:methods*; D013997:Time Factors; D008625:Tiopronin / Q000737:chemistry; D014774:Virulence
chemical_list: D019343:Citric Acid; D006046:Gold; D008625:Tiopronin
keywords: Gold nanoparticles; Legionella pneumophila; Pathogenicity; Surface-enhanced Raman Spectroscopy