Chunmei Zhou1, Lili Tao1, Bijie Hu1, Jian Ma1, Xiangru Ye1, Shenglei Huang1, Yan Ma1, Yuzhang Shan1. 1. 1 Department of Clinical microbiology laboratory, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 2 Department of Respiratory Medicine, Huangdong Hospital, Fudan University, Shanghai 200040, China ; 3 Department of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China ; 4 Department of Respiratory Medicine, Yingzhou Hospital, Ningbo University, Ningbo 315040, China.
Abstract
OBJECTIVE: Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has emerged as promising technology for species identification. The purpose of this investigation was to compare the performance of MS and the traditional method for identification of beta-hemolytic streptococci (BHS). METHODS: Clinical BHS isolates were identified by the BD Phoenix SMIC/ID Streptococcal panels, and two MALDI-TOF MS platforms: the VITEK MS and the Bruker MALDI Biotyper systems respectively. In case of discordant results, 16sRNA sequencing was performed to provide the reference ID. RESULTS: A total of 96 isolates of BHS were analyzed. Thirty-six isolates (20.8%) were re-tested by BD Phoenix for identification failure; and four isolates (4.2%) were rerun on the Bruker system for low identification score. No isolate need a second run for identification by Vitek MS system. Overall, BD Phoenix, BioTyper and Vitek MS automated system accurately identified 76 strains (79.2%), 91 (94.7%) strains and 92 (95.8%) strains, respectively. CONCLUSIONS: Our study suggests that MALDI-TOF MS is a superior method to conventional phenotypic methods for BHS identification.
OBJECTIVE: Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has emerged as promising technology for species identification. The purpose of this investigation was to compare the performance of MS and the traditional method for identification of beta-hemolytic streptococci (BHS). METHODS: Clinical BHS isolates were identified by the BD Phoenix SMIC/ID Streptococcal panels, and two MALDI-TOF MS platforms: the VITEK MS and the Bruker MALDI Biotyper systems respectively. In case of discordant results, 16sRNA sequencing was performed to provide the reference ID. RESULTS: A total of 96 isolates of BHS were analyzed. Thirty-six isolates (20.8%) were re-tested by BD Phoenix for identification failure; and four isolates (4.2%) were rerun on the Bruker system for low identification score. No isolate need a second run for identification by Vitek MS system. Overall, BD Phoenix, BioTyper and Vitek MS automated system accurately identified 76 strains (79.2%), 91 (94.7%) strains and 92 (95.8%) strains, respectively. CONCLUSIONS: Our study suggests that MALDI-TOF MS is a superior method to conventional phenotypic methods for BHS identification.
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