扩展和改进 MALDI-TOF MS 数据库以实现对不动杆菌属种的准确鉴定。
Expansion and improvement of MALDI-TOF MS databases for accurate identification of Achromobacter species.
机构信息
Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, IBaViM, Laboratorio de Resistencia Bacteriana, Junín 956, 8vo. Piso, Ciudad Autónoma de Buenos Aires, CP 1113, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Argentina.
Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, IBaViM, Laboratorio de Resistencia Bacteriana, Junín 956, 8vo. Piso, Ciudad Autónoma de Buenos Aires, CP 1113, Argentina.
出版信息
J Microbiol Methods. 2020 May;172:105889. doi: 10.1016/j.mimet.2020.105889. Epub 2020 Mar 11.
Different MALDI-TOF MS databases were evaluated for the identification of Achromobacter species. The in-house and extended database generated in this study rendered more accurate identification (58/64 and 57/64 isolates, respectively) in comparison with the Bruker commercial database (42/64 isolates), especially in those infrequent species that are not available or poorly represented.
不同的 MALDI-TOF MS 数据库被评估用于鉴定不动杆菌属物种。与 Bruker 商业数据库（42/64 株分离物）相比，本研究中生成的内部和扩展数据库分别提供了更准确的鉴定（分别为 58/64 和 57/64 株分离物），尤其是在那些罕见的、不可用或代表性不足的物种。
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