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食品研究与开发:2020,41(4):192-196
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饮用天然矿泉水中产气荚膜梭菌检测方法的改良
(1.宁波市食品检验检测研究院,浙江宁波315048;2.宁波大学海洋学院,浙江宁波315211;3.宁波大学食品与药学学院,浙江宁波315211)
Improvement of Detection Method for Clostridium perfringens in Drinking Natural Mineral Water
(1.Ningbo Institute for Food Control,Ningbo 315048,Zhejiang,China;2.School of Marine Sciences,Ningbo University,Ningbo 315211,Zhejiang,China;3.College of Food and Pharmaceutical Sciences,Ningbo University,Ningbo 315211,Zhejiang,China)
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投稿时间:2019-03-26    
中文摘要: 将饮用天然矿泉水中产气荚膜梭菌检测国标方法GB 8538-2016《食品安全国家标准饮用天然矿泉水检验方法》作一些改良,以使检测结果更加准确可靠。用产气荚膜梭菌CICC22949 人工污染的水样通过孔径为0.22 μm 的无菌滤膜过滤,分别将胰胨-亚硫酸盐-环丝氨酸琼脂(tryptose-sulfite-cycloserine agar,TSC)培养基和亚硫酸盐-多黏菌素-磺胺嘧啶琼脂(sulfite-polymyxin-sulphadiazxine agarr,SPS)培养基采用双层培养基覆盖法进行试验。改良后的方法在滤膜上有黑色可疑菌落,而国标方法滤膜上的菌落无黑色。TSC 培养基上目标菌计数值显著高于SPS 培养基计数值(P <0.05)。用新鲜配制的TSC 培养基经双层培养基覆盖改良后的方法检测产气荚膜梭菌,现象更明显,结果更可靠,更适合饮用天然矿泉水中产气荚膜梭菌的检验。
Abstract:In order to make the test results more accurate and reliable,some improvements were made in the detection of Clostridium perfringens in drinking natural mineral water GB 8538-2016 <national food safety standard test method for drinking natural mineral water >.Clostridium perfringens CICC22949 artificially polluted water samples were filtered through a sterile filter with a pore size of 0.22 μm.Tryptone sulfite cycloserine agar(TSC)medium and sulfite polymyxin sulfadiazine agar(SPS)medium were used respectively.The experiment was carried out by double-layer medium covering method.The modified method had black suspicious colonies on the filter membrane while the colonies of GB method on the filter membrane were not black.The target bacteria count in TSC medium was significantly higher than that in SPS medium (P < 0.05).The fresh TSC medium was used to detect Clostridium perfringens after being modified by double layer medium.The phenomenon was more obvious,the result was more reliable and more suitable for the detection of Clostridium perfringens in drinking natural mineral water.
文章编号:202004031     中图分类号:    文献标志码:
基金项目:宁波市自然科学基金项目(2018A610223、2018A610336);浙江省食品药品监督管理局2018 年度科技计划项目(201802、201811);宁波市泛3315 创新团队(2018B-18-C);宁波市高新精英创新团队(甬高科[2018]63 号);宁波市现代服务业项目(2019F1017)
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