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Comparison of a New Matrix-Assisted Laser Desorption/lonization Time-of-Flight Mass Spectrometry Platform, ASTA MicrolDSys, With Bruker Biotyper for Species Identification

Title
Comparison of a New Matrix-Assisted Laser Desorption/lonization Time-of-Flight Mass Spectrometry Platform, ASTA MicrolDSys, With Bruker Biotyper for Species Identification
Author
이양순
Keywords
MicrolDSys; Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry; Bruker Biotyper
Issue Date
2017-11
Publisher
KOREAN SOC LABORATORY MEDICINE
Citation
ANNALS OF LABORATORY MEDICINE, v. 37, no. 6, page. 531-535
Abstract
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, with its accuracy and speed, is widely used for bacterial identification. The ASTA MicrolDSys system (ASTA, Korea) was recently developed for species identification. We compared its performance with that of Bruker Biotyper (Bruker Daltonics, Germany). Microbes were recovered from sputum, urine, and pus samples from patients admitted to a tertiary care hospital in Korea from January to April 2016. Matrix solution (alpha-cyano-4-hydroxycinnamic acid) was used, and the peptide profiles acquired from the Microflex LT (Bruker Daltonics) and Tinkerbell LT (ASTA) were analyzed by using their respective software. From 5,322 isolates, Bruker Biotyper identified 163 species; fifty species from 4,919 isolates were identified more than 10 times, including Klebsiella pneumoniae (n = 571), Acinetobacter baumannii (n = 436), Pseudomonas aeruginosa (n = 358), Escherichia coli (n = 372), Staphylococcus aureus (n = 511), S. epidermidis (n = 444), Enterococcus faecium (n = 262), E. faecalis (n = 220), and Candida albicans (n = 248). Identical results, confidence scores (2.0 for Bruker Biotyper), and acceptable scores (>= 140 for ASTA MicrolDSys) were obtained for 86.1% of isolates. Of 4,267 isolates, 99.2% showed acceptable scores in both systems. Results from the ASTA MicrolDSys showed good agreement with those from the Bruker Biotyper. The ASTA MicrolDSys could reliably identify clinically important microorganisms.
URI
https://synapse.koreamed.org/DOIx.php?id=10.3343/alm.2017.37.6.531https://repository.hanyang.ac.kr/handle/20.500.11754/116347
ISSN
2234-3806; 2234-3814
DOI
10.3343/alm.2017.37.6.531
Appears in Collections:
COLLEGE OF MEDICINE[S](의과대학) > MEDICINE(의학과) > Articles
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