Publication: Identification of uncommon pathogenic bacteria by MALDI-TOF mass spectrometry using a custom library of siriraj hospital
dc.contributor.author | Kanda Ekcharoenkul | en_US |
dc.contributor.author | Popchai Ngamskulrungroj | en_US |
dc.contributor.author | Keerati Joyjamras | en_US |
dc.contributor.author | Amornrut Leelaporn | en_US |
dc.contributor.author | Azian Harun | en_US |
dc.contributor.author | Pattarachai Kiratisin | en_US |
dc.contributor.other | Faculty of Medicine, Siriraj Hospital, Mahidol University | en_US |
dc.contributor.other | School of Medical Sciences - Universiti Sains Malaysia | en_US |
dc.date.accessioned | 2019-08-28T06:21:47Z | |
dc.date.available | 2019-08-28T06:21:47Z | |
dc.date.issued | 2018-03-01 | en_US |
dc.description.abstract | © 2018, Faculty of Medicine Siriraj Hospital, Mahidol University. Objective: Matrix Assisted Laser Desorption Ionization Time-Of-Flight mass spectrometry (MALDI-TOF MS) is a rapid and cost-effective technique that serves as an alternative method for bacterial identification in microbiology laboratories. This study aimed to determine the performance of MALDI-TOF MS for identifying uncommon and/ or fastidious bacteria comparing with automated identification method. Methods: We observed the performances of original and extended databases after adding of in-house MALDI-TOF MS database for a total of 54 isolates belonging to 16 genera of uncommon and/or fastidious bacteria. Results: The extended database improved identification of these bacteria significantly except for Listeria monocytogenes and Elizabethkingia meningoseptica. Conclusion: This study provides a possibility for identification of uncommon and/or fastidious bacteria by MALDITOF MS method. | en_US |
dc.identifier.citation | Siriraj Medical Journal. Vol.70, No.2 (2018), 127-130 | en_US |
dc.identifier.doi | 10.14456/smj.2018.21 | en_US |
dc.identifier.issn | 22288082 | en_US |
dc.identifier.other | 2-s2.0-85051599308 | en_US |
dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/20.500.14594/46901 | |
dc.rights | Mahidol University | en_US |
dc.rights.holder | SCOPUS | en_US |
dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85051599308&origin=inward | en_US |
dc.subject | Medicine | en_US |
dc.title | Identification of uncommon pathogenic bacteria by MALDI-TOF mass spectrometry using a custom library of siriraj hospital | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | |
mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85051599308&origin=inward | en_US |