徐建辉,屠俊玮,邱瑾芝.速冻食品中李斯特菌污染状况研究[J].食品安全质量检测学报,2021,12(14):5876-5880
速冻食品中李斯特菌污染状况研究
Study on Listeria contamination in quick-frozen food
投稿时间:2021-01-26  修订日期:2021-08-09
DOI:
中文关键词:  速冻食品  李斯特菌  污染状况  血清型
英文关键词:quick-frozen food  Listeria  contamination status  serotype
基金项目:
作者单位
徐建辉 象山县食品检验检测中心 
屠俊玮 象山县食品检验检测中心 
邱瑾芝 象山县食品检验检测中心 
AuthorInstitution
XU Jian-Hui Food Inspection and Testing Center of Xiangshan County 
TU Jun-Wei Food Inspection and Testing Center of Xiangshan County 
QIU Jin-Zhi Food Inspection and Testing Center of Xiangshan County 
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中文摘要:
      目的 研究速冻食品中李斯特菌污染状况与检测方法。方法 于象山县各大超市及农贸市场内采购速冻肉类、海鲜与禽类、速冻面食类以及速冻蔬菜, 通过制备改良李氏增菌液, 使用该增菌液对采集的7类共1300个速冻食品样品增菌, 分离MMA平板, 根据国家标准检测李斯特菌污染情况; 开展鞭毛H抗原血清凝集试验和菌体O抗原血清凝集试验, 对照李斯特菌血清型判定标准鉴定试验样品血清型。结果 李斯特菌检测结果的阳性率达到7.46%; 其他李斯特菌检测结果显示速冻奶制品阳性率最高, 为38.46%, 出现2种以上李斯特菌污染; 检测出较强致病4b血清型, 严重污染隐患较大。结论 速冻食品中李斯特菌污染分析结果具有统计学意义, 需要以此不断优化检测范围和检测流程。
英文摘要:
      Objective To study the contamination of Listeria in quick-frozen food and the detection method. Methods Quick-frozen meat, seafood and poultry, quick-frozen pasta and quick-frozen vegetables were purchased from all supermarkets and farmers' markets in Xiangshan county. Through preparation of improved Listeria albicans solution, the solution was used to increase bacteria in 1300 quick-frozen food samples of 7 categories, isolated MMA plate and detected the contamination of Listeria according to national standards. Serum agglutination test of flagellum H antigen and Listeria albicans O antigen serum agglutination test were carried out to identify the serum type of the samples by comparing with the serum type identification standard of Listeria albicans. Results The positive rate of Listeria was 7.46%, the positive rate of other Listeria showed that the highest positive rate of frozen dairy products, 38.46%, and there were more than 2 kinds of Listeria contamination. Serotype 4b was detected, which was a serious risk of contamination. Conclusion The results of Listeria contamination analysis in quick-frozen foods are statistically significant and need to optimize the detection range and process.
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