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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
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Yangsoon | - |
| dc.contributor.author | Sung, Ji Yeon | - |
| dc.contributor.author | Kim, Hyunsoo | - |
| dc.contributor.author | Yong, Dongeun | - |
| dc.contributor.author | Lee, Kyungwon | - |
| dc.date.accessioned | 2022-07-14T23:39:36Z | - |
| dc.date.available | 2022-07-14T23:39:36Z | - |
| dc.date.issued | 2017-00 | - |
| dc.identifier.issn | 2234-3806 | - |
| dc.identifier.issn | 2234-3814 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/153267 | - |
| dc.description.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. | - |
| dc.format.extent | 5 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | 대한진단검사의학회 | - |
| dc.title | Comparison of a New Matrix-Assisted Laser Desorption/lonization Time-of-Flight Mass Spectrometry Platform, ASTA MicrolDSys, With Bruker Biotyper for Species Identification | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.3343/alm.2017.37.6.531 | - |
| dc.identifier.scopusid | 2-s2.0-85029924067 | - |
| dc.identifier.wosid | 000411542200011 | - |
| dc.identifier.bibliographicCitation | Annals of Laboratory Medicine, v.37, no.6, pp 531 - 535 | - |
| dc.citation.title | Annals of Laboratory Medicine | - |
| dc.citation.volume | 37 | - |
| dc.citation.number | 6 | - |
| dc.citation.startPage | 531 | - |
| dc.citation.endPage | 535 | - |
| dc.type.docType | Article | - |
| dc.identifier.kciid | ART002275515 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.relation.journalResearchArea | Medical Laboratory Technology | - |
| dc.relation.journalWebOfScienceCategory | Medical Laboratory Technology | - |
| dc.subject.keywordPlus | DESORPTION IONIZATION-TIME | - |
| dc.subject.keywordPlus | ROUTINE IDENTIFICATION | - |
| dc.subject.keywordPlus | MICROFLEX LT | - |
| dc.subject.keywordPlus | MS | - |
| dc.subject.keywordPlus | SYSTEMS | - |
| dc.subject.keywordPlus | BACTERIA | - |
| dc.subject.keywordAuthor | MicrolDSys | - |
| dc.subject.keywordAuthor | Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry | - |
| dc.subject.keywordAuthor | Bruker Biotyper | - |
| dc.identifier.url | https://www.annlabmed.org/journal/view.html?doi=10.3343/alm.2017.37.6.531 | - |
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