CAJ | 학술논문

目的本研究旨在评价作者研制的DBI10E生化鉴定系统用于临床肠杆菌科的可行性.方法以点滴生化分析为细菌鉴定方法,经过用聚类分析和信息熵分析优选生化项目,选择最新概率数据构建数据库,并采用计算机系统仿真方法进行验证,在数值化鉴定软件支持下运行.结果与API10S进行计算机仿真对照试验的统计表明,DBI10E提高了肠杆菌科细菌鉴定的总体符合率;与API20E进行标准菌株和临床菌株的对照检验后发现.DBI10E点滴生化试验快速、稳定、经济,鉴定到种的概率(%Id)平均提高了24.91个百分点,典型性指数(T值)平均提高了0.19.结论 DBI10E为我圜临床微生物检验提供了一种新的快速鉴定手段.
목적 본연구지재평개작자연제적DBI10E생화감정계통용우림상장간균과적가행성.방법 이점적생화분석위세균감정방법,경과용취류분석화신식적분석우선생화항목,선택최신개솔수거구건수거고,병채용계산궤계통방진방법진행험증,재수치화감정연건지지하운행.결과 여API10S진행계산궤방진대조시험적통계표명,DBI10E제고료장간균과세균감정적총체부합솔;여API20E진행표준균주화림상균주적대조검험후발현.DBI10E점적생화시험쾌속、은정、경제,감정도충적개솔(%Id)평균제고료24.91개백분점,전형성지수(T치)평균제고료0.19.결론 DBI10E위아환림상미생물검험제공료일충신적쾌속감정수단.
Objective This study aimed to evaluate the feasibility of Enterobacteriaceae biochemical identification system developed by the authors. Methods Dropping biochemical analysis was used as the basic method for bacteria identifying. After applying cluster analysis and information entropy analysis for optimization of biochemistry items, the latest probabilistic data was picked to build up database, and computer simulation methods were introduced to accomplish the verification and the system operated under the support of numerical identification software. Results Compared with API10S, the statistics of controlled trials of the computer simulation showed that DBI10E improved the overall compliance rate of Enterobacteriaceae identification. Compared with API20E, the results of controlled trials of standard strains and clinical strains showed that the DBI10E dropping biochemical test was faster, more stable and economic, and the probability (%Id) of identifying to species averagely increased by 24.91%, the typical index values(T) averagely increased by 0.19. Conclusions DBI10E provides a new and rapid approach for clinical microbial analysis.