Butler D A, Lobregat C M, Gavan T L
J Clin Microbiol. 1975 Oct;2(4):322-6. doi: 10.1128/jcm.2.4.322-326.1975.
The reproducibility of the Analytab (API 20E) system for identification of Enterobacteriaceae was evaluated with 110 clinical isolates. Each isolate was identified by two technologists at different times. Genus-species identification was 97.3% reproducible; however, only 55.5% of the strains gave identical reactions in all 20 of the API 20E biochemical tests on repeat testing. Of those strains which varied, 56% possessed only one variable biochemical test. The reproducibility for each biochemical test was calculated and ranged from 89 to 100%. A subset of 20 of the most variable strains was tested further under conditions of varying incubation time (15 and 22 h) and inoculum concentration (10(7), 10(5), and 10(3) colony-forming units per ml), and by having four technologists interpret the test results. The reproducibility for each biochemical test for these 20 variable strains ranged from 86 to 99%. Less variation in interpretation by technologists was seen at an incubation time of 22 h and an inoculum concentration of 10(7) colony-forming units per ml. Consideration of the reproducibility for each biochemical test can aid in determining the probability that two isolates suspected of being the same strain, but with API profiles which differ by one or more biochemical test results, are in fact the same strain. Variables such as inoculum size, incubation time, technologist interpretation, and strip variability affect the API test results and should be standardized to minimize their effects.
使用110株临床分离株对Analytab(API 20E)系统鉴定肠杆菌科细菌的可重复性进行了评估。每位技术人员在不同时间对每株分离株进行鉴定。属种鉴定的可重复性为97.3%;然而,在重复测试时,只有55.5%的菌株在API 20E的所有20项生化试验中给出相同反应。在那些有差异的菌株中,56%仅有一种可变生化试验。计算了每项生化试验的可重复性,范围为89%至100%。对20株变异最大的菌株进行了进一步测试,测试条件包括不同的孵育时间(15小时和22小时)和接种物浓度(每毫升10⁷、10⁵和10³个菌落形成单位),并由四名技术人员解读测试结果。这20株可变菌株每项生化试验的可重复性范围为86%至99%。在孵育时间为22小时和接种物浓度为每毫升10⁷个菌落形成单位时,技术人员解读的差异较小。考虑每项生化试验的可重复性有助于确定两个疑似同一菌株但API图谱在一项或多项生化试验结果上存在差异的分离株实际上是否为同一菌株。接种量、孵育时间、技术人员解读和试条变异性等变量会影响API测试结果,应进行标准化以尽量减少其影响。