Comparison of Bruker Biotyper® and Vitek® MS matrix-assisted laser desorption/ionization–time-of-flight mass spectrometry platforms for the identification of filamentous fungi

Author:

Hankins Julia D12ORCID,Amerson-Brown Megan H123ORCID,Brown Cameron A14ORCID,Riegler Ashleigh N3ORCID,Muldrew Kenneth L145ORCID,Dunn James J12ORCID

Affiliation:

1. Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, USA

2. Department of Pathology, Texas Children’s Hospital, Houston, TX 77030, USA

3. Department of Pathology, The University of Alabama at Birmingham, Birmingham, AL 35294, USA

4. Department of Pathology, Harris Health Ben Taub Hospital, Houston, TX 77030, USA

5. Department of Internal Medicine, Infectious Diseases, Baylor College of Medicine, Houston, TX 77030, USA

Abstract

Aims: To evaluate the performance of two matrix-assisted laser desorption/ionization–time-of-flight mass spectrometry platforms to identify molds isolated from clinical specimens. Methods: Fifty mold isolates were analyzed on Bruker Biotyper® and Vitek® MS platforms. Two Bruker Biotyper extraction protocols were assessed alongside the US FDA-approved extraction protocol for Vitek MS. Results: The Bruker Biotyper modified NIH-developed extraction protocol correctly identified more isolates than Bruker’s protocol (56 vs 33%). For species in the manufacturers’ databases, Vitek MS correctly identified 85% of isolates, with 8% misidentifications. The Bruker Biotyper identified 64%, with no misidentifications. For isolates not in the databases, the Bruker Biotyper did not misidentify any, and Vitek MS misidentified 36%. Conclusion: Both the Vitek MS and Bruker Biotyper accurately identified the fungal isolates, however Vitek MS was more likely to misidentify isolates than the Bruker Biotyper.

Publisher

Future Medicine Ltd

Subject

Microbiology (medical),Microbiology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3