Evaluation of Minibact, a new system for rapid identification of Enterobacteriaceae. Comparison of Minibact, Micro-ID and API 20E with a conventional method as reference.
{"title":"Evaluation of Minibact, a new system for rapid identification of Enterobacteriaceae. Comparison of Minibact, Micro-ID and API 20E with a conventional method as reference.","authors":"P Kjaeldgaard, B Nissen, N Lange, H Laursen","doi":"","DOIUrl":null,"url":null,"abstract":"<p><p>Minibact, a new system for four-hour identification of Enterobacteriaceae, combined with a computer identification system, was compared with Micro-ID and API 20E in testing 110 strains of Enterobacteriaceae. Minibact gave identification rates of 96.4% at species level and 96.4% at genus level; the corresponding values for Micro-ID were 87.3% and 91.8%, and for API 20E 91.8% and 94.5%. In conclusion, Minibact combined with a computer identification program gave high identification rates fully comparable to those of Micro-ID and API 20E, and the system might be an alternative to conventional identification systems in clinical microbiological departments.</p>","PeriodicalId":7045,"journal":{"name":"Acta pathologica, microbiologica, et immunologica Scandinavica. Section B, Microbiology","volume":"94 2","pages":"57-61"},"PeriodicalIF":0.0000,"publicationDate":"1986-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta pathologica, microbiologica, et immunologica Scandinavica. Section B, Microbiology","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Minibact, a new system for four-hour identification of Enterobacteriaceae, combined with a computer identification system, was compared with Micro-ID and API 20E in testing 110 strains of Enterobacteriaceae. Minibact gave identification rates of 96.4% at species level and 96.4% at genus level; the corresponding values for Micro-ID were 87.3% and 91.8%, and for API 20E 91.8% and 94.5%. In conclusion, Minibact combined with a computer identification program gave high identification rates fully comparable to those of Micro-ID and API 20E, and the system might be an alternative to conventional identification systems in clinical microbiological departments.