Suppr超能文献

布鲁克生物分型质谱仪和Vitek质谱仪基质辅助激光解吸电离飞行时间质谱系统用于酵母菌鉴定的综合评估,中国国家医院侵袭性真菌监测网(CHIF-NET)研究的一部分,2012年至2013年

A Comprehensive Evaluation of the Bruker Biotyper MS and Vitek MS Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Systems for Identification of Yeasts, Part of the National China Hospital Invasive Fungal Surveillance Net (CHIF-NET) Study, 2012 to 2013.

作者信息

Wang He, Fan Yan-Yan, Kudinha Timothy, Xu Zhi-Peng, Xiao Meng, Zhang Li, Fan Xin, Kong Fanrong, Xu Ying-Chun

机构信息

Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.

Department of Clinical Laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.

出版信息

J Clin Microbiol. 2016 May;54(5):1376-80. doi: 10.1128/JCM.00162-16. Epub 2016 Feb 24.

Abstract

Among the 2,683 yeast isolates representing 41 different species (25 Candida and Candida-related species and 16 non-Candida yeast species) collected in the National China Hospital Invasive Fungal Surveillance Net (CHIF-NET) program (2012 to 2013), the Bruker Biotyper MS matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) system exhibited significantly higher accuracy rates than the Vitek MS system for identification of all yeast isolates (98.8% versus 95.4%, P <0.001 by Pearson's chi-square test) and for all Candida and Candida-related species isolates (99.4% versus 95.5%, P < 0.001).

摘要

在中国全国医院侵袭性真菌监测网(CHIF-NET)项目(2012年至2013年)收集的代表41种不同酵母菌种(25种念珠菌及念珠菌相关菌种和16种非念珠菌酵母菌种)的2683株酵母分离株中,布鲁克微生物鉴定仪基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)系统在鉴定所有酵母分离株(98.8%对95.4%,Pearson卡方检验P<0.001)以及所有念珠菌和念珠菌相关菌种分离株(99.4%对95.5%,P<0.001)方面,准确率显著高于Vitek MS系统。

相似文献

4
Evaluation of Bruker Biotyper and Vitek MS for the identification of Candida tropicalis on different solid culture media.
J Microbiol Immunol Infect. 2019 Aug;52(4):604-611. doi: 10.1016/j.jmii.2017.11.002. Epub 2017 Nov 11.
6
Evaluation of Autof MS 1000 and Vitek MS MALDI-TOF MS System in Identification of Closely-Related Yeasts Causing Invasive Fungal Diseases.
Front Cell Infect Microbiol. 2021 Feb 18;11:628828. doi: 10.3389/fcimb.2021.628828. eCollection 2021.

引用本文的文献

1
Identification of Microbial Strains via 2D Cross-Correlation of LC-MS Data.
J Am Soc Mass Spectrom. 2024 Jun 5;35(6):1352-1362. doi: 10.1021/jasms.4c00101. Epub 2024 May 14.
2
MALDI-TOF MS: A Reliable Tool in the Real Life of the Clinical Microbiology Laboratory.
Microorganisms. 2024 Feb 3;12(2):322. doi: 10.3390/microorganisms12020322.
3
Outbreaks of Fungal Infections in Hospitals: Epidemiology, Detection, and Management.
J Fungi (Basel). 2023 Oct 29;9(11):1059. doi: 10.3390/jof9111059.
4
Isothermal gene amplification coupled MALDI-TOF MS for SARS-CoV-2 detection.
Talanta. 2022 May 15;242:123297. doi: 10.1016/j.talanta.2022.123297. Epub 2022 Feb 8.
7
Matrix-Assisted Laser Desorption Ionization Time-of-Flight for Fungal Identification.
Clin Lab Med. 2021 Jun;41(2):267-283. doi: 10.1016/j.cll.2021.03.006. Epub 2021 Apr 24.
8
Evaluation of Autof MS 1000 and Vitek MS MALDI-TOF MS System in Identification of Closely-Related Yeasts Causing Invasive Fungal Diseases.
Front Cell Infect Microbiol. 2021 Feb 18;11:628828. doi: 10.3389/fcimb.2021.628828. eCollection 2021.
9
Clinical and Microbiological Characterization of Invasive Pulmonary Aspergillosis Caused by in China.
Front Microbiol. 2020 Jul 28;11:1672. doi: 10.3389/fmicb.2020.01672. eCollection 2020.

本文引用的文献

6
Comparison and optimization of two MALDI-TOF MS platforms for the identification of medically relevant yeast species.
Eur J Clin Microbiol Infect Dis. 2014 Oct;33(10):1703-12. doi: 10.1007/s10096-014-2115-x. Epub 2014 May 7.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验