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江山市2011年-2013年食品中食源性致病菌监测结果分析 被引量:17

Analysis on the monitoring results of food borne pathogens contamination from 2011 to 2013 in Jiangshan
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摘要 目的了解江山市食品中食源性致病菌的污染状况,为食源性疾病监测和预警提供科学依据。方法 2011年-2013年采集江山市售食品663份,对沙门菌、单增李斯特菌、金黄色葡萄球菌、大肠杆菌O157∶H7、志贺菌、副溶血性弧菌、创伤弧菌、阪崎肠杆菌、蜡样芽孢杆菌9种食源性致病菌进行监测分析。结果 663份食品样品检出致病菌63株,总检出率为9.50%;3年食源性致病菌检出率分别为15.22%、8.37%和6.35%,不同年份检出率差异有统计学意义;检出的6种食源性致病菌,其中以金黄色葡萄球菌和副溶血性弧菌检出率最高,分别为2.71%和2.41%;阪崎杆菌、志贺菌、创伤弧菌未检出;动物性水产品、生肉和非发酵豆制品污染严重,检出率分别为20.00%、10.71%和10.61%。结论江山市食品中存在不同程度的食源性致病菌污染,食品安全监管部门应加强食品安全监督管理。 Objective To analyze the situation of food borne pathogens contamination in Jiangshan,and to provide scientific basis for the monitoring and informative alerting of food borne diseases. Methods 663 market- sold food samples in Jiangshan from 2011 to 2013 were randomly selected to detect 9 pathogens of Salmonella,Listeria monocytogenes,Staphylococcus ureus,EHEC O157∶H7,Shigella,Vibrio parahaemolyticus,Vibrio vulnifieus,Enterobacter sakazakii and Bacillus cereus,and then the detection results were monitored and analyzed. Results 63 strains of pathogens were detected among 663 samples with the total detection rate of 9. 50%; The detection rate each year from 2011 to 2013 was 15. 22%,8. 37% and 6. 35% respectively with a significant differences,totally 6 food- borne pathogens were detected with the highest rates of 2. 71% for Staphylococcus aureus and 2. 41% for Vibrio parahaemolyticus,there were no positive results for the detection of Enterobacter sakazakii,Shigella and Vibrio vulnifieus; The pathogens contamination among aquatic products,raw meats and non- fermented bean products were serious with the detection rate of 20. 00%,10. 71% and 10. 61%,respectively. Conclusion There was food borne pathogens contamination with different degrees in consumption food of Jiangshan,so the food safety inspection authorities should enhance the supervision and management of the food safety.
出处 《中国卫生检验杂志》 CAS 2015年第3期401-404,共4页 Chinese Journal of Health Laboratory Technology
关键词 监测 食源性致病菌 食品 Monitoring Food borne pathogens Food
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