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신선편이 엽채류의 병원성 E. coli 검출을 위한 생화학적동정법 비교 분석Comparison of Biochemical Identification to Detect Pathogenic Escherichia coli in Fresh Vegetables

Other Titles
Comparison of Biochemical Identification to Detect Pathogenic Escherichia coli in Fresh Vegetables
Authors
최유경이희영이수민김세정하지명이지연오혜민윤요한
Issue Date
Dec-2016
Publisher
한국식품위생안전성학회
Keywords
fresh cut produce; Escherichia coli; genetic analysis; biochemical analysis
Citation
한국식품위생안전성학회지, v.31, no.6, pp 393 - 398
Pages
6
Journal Title
한국식품위생안전성학회지
Volume
31
Number
6
Start Page
393
End Page
398
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/3170
DOI
10.13103/JFHS.2016.31.6.393
ISSN
1229-1153
2465-9223
Abstract
The objective of this study was to isolate pathogenic Escherichia coli from fresh vegetables with selective media and Petrifilm, and identify a suspicious colony using biochemical identification. Twenty gram of lettuce, twenty gram of cabbage and ten gram of sprout were prepared, and a 5-strain mixture of pathogenic E. coli (Enterohemorrhagic E. coli NCCP11142, Enterotoxigenic E. coli NCCP14037, Enteropathogenic E. coli NCCP14038, Enteroaggregative E. coli NCCP14039, Enteropathogenic E. coli NCCP15661) was inoculated to obtain 1, 2 and 3 log CFU/g. Eighty to ninety milliliter of buffered peptone water (BPW) was placed and pummeled for 60 s. As a results, the Petrifilm method was all positive, but enrichment method of qualitative analysis was negative except for 3-log CFU/g inoculated lettuce. Regarding biochemical identification of pathogenic E. coli, the identification rates were dependent on type of methods and vegetables; lettuce: API 20E 100% (44/44), Microgen GNA 100% (44/44) and Food System 66.7% (10/15), cabbage: API 20E 64.7% (22/34), Microgen GNA 50% (16/32) and Food System 60% (9/15), sprout: API 20E 65.1% (28/43), Microgen GNA 62.3% (27/43) and Food System 53.3% (8/15). These results could be useful in determining an appropriate method to detect pathogenic E. coli in fresh vegetables.
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생활과학대학 (식품영양학과)
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