Suppr超能文献

传统气相色谱法(GC)、顶空气相色谱法和微生物鉴定库气相色谱系统用于艰难梭菌鉴定的比较

Comparison of traditional gas chromatography (GC), headspace GC, and the microbial identification library GC system for the identification of Clostridium difficile.

作者信息

Cundy K V, Willard K E, Valeri L J, Shanholtzer C J, Singh J, Peterson L R

机构信息

Laboratory Service, Department of Veterans Affairs, Minneapolis, Minnesota.

出版信息

J Clin Microbiol. 1991 Feb;29(2):260-3. doi: 10.1128/jcm.29.2.260-263.1991.

Abstract

Three gas chromatography (GC) methods were compared for the identification of 52 clinical Clostridium difficile isolates, as well as 17 non-C. difficile Clostridium isolates. Headspace GC and Microbial Identification System (MIS) GC, an automated system which utilizes a software library developed at the Virginia Polytechnic Institute to identify organisms based on the fatty acids extracted from the bacterial cell wall, were compared against the reference method of traditional GC. Headspace GC and MIS were of approximately equivalent accuracy in identifying the 52 C. difficile isolates (52 of 52 versus 51 of 52, respectively). However, 7 of 52 organisms required repeated sample preparation before an identification was achieved by the MIS method. Both systems effectively differentiated C. difficile from non-C. difficile clostridia, although the MIS method correctly identified only 9 of 17. We conclude that the headspace GC system is an accurate method of C. difficile identification, which requires only one-fifth of the sample preparation time of MIS GC and one-half of the sample preparation time of traditional GC.

摘要

比较了三种气相色谱(GC)方法用于鉴定52株临床艰难梭菌分离株以及17株非艰难梭菌梭菌分离株。将顶空气相色谱法和微生物鉴定系统(MIS)气相色谱法(一种自动化系统,利用弗吉尼亚理工学院开发的软件库,根据从细菌细胞壁提取的脂肪酸来鉴定微生物)与传统气相色谱法的参考方法进行了比较。在鉴定52株艰难梭菌分离株时,顶空气相色谱法和MIS的准确性大致相当(分别为52株中的52株和52株中的51株)。然而,52株微生物中有7株在通过MIS方法鉴定之前需要重复进行样品制备。两种系统都能有效地区分艰难梭菌和非艰难梭菌梭菌,尽管MIS方法仅正确鉴定了17株中的9株。我们得出结论,顶空气相色谱系统是一种准确的艰难梭菌鉴定方法,其样品制备时间仅为MIS气相色谱法的五分之一,传统气相色谱法的二分之一。

相似文献

3
Laboratory diagnosis of Clostridium difficile infection.艰难梭菌感染的实验室诊断
J Clin Microbiol. 2010 Aug;48(8):3048-9. doi: 10.1128/JCM.00223-10.

本文引用的文献

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