Suppr超能文献

通过计算机辅助气液色谱法进行分枝杆菌鉴定。

Mycobacterial identification by computer-aided gas-liquid chromatography.

作者信息

Smid I, Salfinger M

机构信息

Swiss National Center for Mycobacteria, Zürich.

出版信息

Diagn Microbiol Infect Dis. 1994 Jun;19(2):81-8. doi: 10.1016/0732-8893(94)90117-1.

Abstract

The suitability of the Microbial Identification System (MIS) marketed by Microbial ID (Newark, DE, USA) for routine diagnosis of clinically important mycobacteria was investigated and assessed. Cellular fatty acids were extracted from 1077 stock and recent clinical isolates. They were analyzed using a gas-liquid chromatograph combined with MIS software. The MIS system finally identifies the isolates by comparing their fatty-acid compositions with a standard library for mycobacteria. As the library search usually results in more than one possible match, suitable identification criteria were determined. The stricter these criteria are, the more the percentage of false-positive identifications can be reduced, but at the cost of more cases that remain undecided and require additional analysis. Under conditions similarity index (SI) SI1 > or = 0.4 and SI1-SI2 > or = 0.1, 63% of all isolates were correctly and 6% incorrectly identified.

摘要

对美国特拉华州纽瓦克市微生物鉴定公司销售的微生物鉴定系统(MIS)用于临床重要分枝杆菌常规诊断的适用性进行了研究和评估。从1077株保藏菌株和近期临床分离株中提取细胞脂肪酸。使用气相色谱仪结合MIS软件对其进行分析。MIS系统最终通过将分离株的脂肪酸组成与分枝杆菌标准文库进行比较来鉴定分离株。由于文库检索通常会产生多个可能的匹配结果,因此确定了合适的鉴定标准。这些标准越严格,假阳性鉴定的百分比就可以降低得越多,但代价是有更多病例仍无法确定,需要进一步分析。在相似性指数(SI)SI1≥0.4且SI1 - SI2≥0.1的条件下,所有分离株中有63%被正确鉴定,6%被错误鉴定。

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