Literature DB >> 32171844

Expansion and improvement of MALDI-TOF MS databases for accurate identification of Achromobacter species.

Mariana Papalia1, Roque Figueroa-Espinosa2, Carla Steffanowski2, Claudia Barberis3, Marisa Almuzara3, Rubén Barrios4, Carlos Vay3, Gabriel Gutkind1, José Di Conza1, Marcela Radice5.   

Abstract

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.
Copyright © 2020 Elsevier B.V. All rights reserved.

Keywords:  Achromobacter identification; Achromobacter species; MALDI-TOF MS

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Substances:

Year:  2020        PMID: 32171844     DOI: 10.1016/j.mimet.2020.105889

Source DB:  PubMed          Journal:  J Microbiol Methods        ISSN: 0167-7012            Impact factor:   2.363


  2 in total

Review 1.  Achromobacter Infections and Treatment Options.

Authors:  Burcu Isler; Timothy J Kidd; Adam G Stewart; Patrick Harris; David L Paterson
Journal:  Antimicrob Agents Chemother       Date:  2020-10-20       Impact factor: 5.191

2.  MALDI-TOF MS as a method for rapid identification of Phytophthora de Bary, 1876.

Authors:  Matěj Božik; Marcela Mrázková; Karolína Novotná; Markéta Hrabětová; Petr Maršik; Pavel Klouček; Karel Černý
Journal:  PeerJ       Date:  2021-07-19       Impact factor: 2.984

  2 in total

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