食品科学

• 分析检测 • 上一篇    下一篇

肉制品致腐微生物溯源技术构建

陈 晓,高晓平,李苗云,柳艳霞,赵改名,孙灵霞,张秋会,张建威,黄现青   

  1. 河南农业大学食品科学技术学院,河南省肉制品加工与质量安全控制重点实验室,河南 郑州 450002
  • 出版日期:2013-07-25 发布日期:2013-08-02

Establishment of PCR-Based Technique for Tracing Spoilage Microorganisms in Meat Products

CHEN Xiao,GAO Xiao-ping,LI Miao-Yun,LIU Yan-xia,ZHAO Gai-ming,SUN Ling-xia,ZHANG Qiu-hui,ZHANG Jian-wei,HUANG Xian-qing   

  1. Henan Key Laboratory of Meat Processing and Quality Safety Control, College of Food Science and Technology,Henan Agricultural University, Zhengzhou 450002, China
  • Online:2013-07-25 Published:2013-08-02

摘要:

针对热杀菌肉制品中因微生物残留而引起的腐败问题,选择从腐败的玉米热狗肠中分离出并由Biolog微生物自动分析系统鉴定的地衣芽孢杆菌为代表菌株,结合地衣芽孢杆菌的特异性引物,用聚合酶链式反应(PCR)方法构建致腐微生物溯源技术。结果表明,该方法可在腐败样品中准确、灵敏、快速地检出地衣芽孢杆菌,引物的特异性为100%,方法的检测限为0.104CFU/g。

关键词: 溯源, 特异性, 灵敏性, 地衣芽孢杆菌

Abstract:

Thermally sterilized meat products may still become spoiled due to the presence of residual microorganisms. In
the present study, a PCR-based technique was developed for tracing spoilage microorganisms in meat products. For this, a
set of specific primers was designed for Bacillus licheniormis as a representative strain of meat spoilage microorganisms,
isolated from spoiled corn hot dog sausage and identified with the Biolog microbial identification system. The PCR-based
method allowed accurate, sensitive and rapid detection of Bacillus licheniormis in spoiled samples with a 100% primer
specificity and a detection limit of 0.104 CFU/g.

Key words: specificity, sensitivity, Bacillus licheniormis