Use of the automicrobic and enteric-tek systems for identification of Enterobacteriaceae

Author:

Goldstein J,Guarneri J J,Della-Latta P,Scherer J

Abstract

Studies were performed to evaluate the use of the Enteric-Tek (ET) and the AutoMicrobic system (AMS) for the identification of 201 Enterobacteriaceae freshly isolated from clinical specimens. All test systems were inoculated simultaneously from the same MacConkey agar plate. Organisms were also identified with conventional media. Identifications with the ET and AMS agreed with those made with conventional biochemicals 97% of the time. At a 95% confidence level, the ET was able to identify 75% of the isolates within 18 h without the aid of additional biochemical tests; the AMS identified 92% in 8 h. Technologist time needed for identifications made with the AMS was reduced approximately 57% compared with the ET. In all instances in which the AMS identification disagreed with the conventional, the ET identified the organism correctly. Similarly, organisms misidentified by the ET were correctly identified by the AMS. The data suggest that the AMS and ET identify clinical isolates with comparable accuracy; however, the AMS offers a significant savings in time.

Publisher

American Society for Microbiology

Subject

Microbiology (medical)

Reference12 articles.

1. Automated microbiological detection/identification system;Aldridge C.;J. Clin. Microbiol.,1977

2. Clinical evaluation of the Micro-ID, API 20E, and conventional media systems for identification of Enterobacteriaceae;Edberg S. C.;J. Clin. Microbiol.,1979

3. Edwards P. R. and W. H. Ewing. 1972. Identification of Enterobacteriaceae 3rd ed. Burgess Publishing Co. Minneapolis.

4. Accurate automated identification of selected Enterobacteriaceae at four hours;Ferraro M. J. B.;J. Clin. Microbiql.,1981

5. Clinical laboratory evaluation of the AutoMicrobic system for rapid identification of Enterobacteriaceae;Hasyn J. J.;J. Clin. Microbiol.,1981

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