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利用可视基因膜芯片技术与实时荧光定量聚合酶链式反应技术分析肉制品中动物源性成分
引用本文:邵 彪,高利亭,徐陈红,张 霞,陈 刚,汪少芸. 利用可视基因膜芯片技术与实时荧光定量聚合酶链式反应技术分析肉制品中动物源性成分[J]. 肉类研究, 2023, 37(3): 7-13. DOI: 10.7506/rlyj1001-8123-20221027-143
作者姓名:邵 彪  高利亭  徐陈红  张 霞  陈 刚  汪少芸
作者单位:1.南通市产品质量监督检验所,江苏 南通 226011;2.福州大学生物科学与工程学院,福建 福州 350108
基金项目:南通市科技计划项目(JC2020108);江苏省市场监督管理局科技计划项目(KJ204137);国家自然科学基金海峡联合基金项目(U1905202)
摘    要:为调查了解肉制品中动物源性成分,以帮助判别掺假情况,应用可视基因膜芯片检测技术对市售的肉松、香肠、肉卷、预制调理肉、肉干及肉脯等23份样品动物源性成分进行筛查分析,同时,针对筛查结果采用实时荧光定量聚合酶链式反应(polymerase chain reaction,PCR)法进一步确证。结果表明:可视基因膜芯片检测法与实时荧光定量PCR法检测结果一致,提高了未知样品的筛查效率;在本次随机分析的样品中,动物源性成分检测结果与标签标示不一致的情况占比高达21.7%,肉制品掺假虚标情况不容忽视。

关 键 词:可视基因膜芯片  实时荧光定量聚合酶链式反应  肉制品  动物源性成分  掺假

Analysis of Animal Derived Ingredients in Meat Products by using Optical Gene Thin-Film Biosensor Chips and Real-Time Fluorescence Quantitative Polymerase Chain Reaction (RT-qPCR)
SHAO Biao,GAO Liting,XU Chenhong,ZHANG Xia,CHEN Gang,WANG Shaoyun. Analysis of Animal Derived Ingredients in Meat Products by using Optical Gene Thin-Film Biosensor Chips and Real-Time Fluorescence Quantitative Polymerase Chain Reaction (RT-qPCR)[J]. Meat Research, 2023, 37(3): 7-13. DOI: 10.7506/rlyj1001-8123-20221027-143
Authors:SHAO Biao  GAO Liting  XU Chenhong  ZHANG Xia  CHEN Gang  WANG Shaoyun
Affiliation:1.Nantong Products Quality Supervision and Inspection Institute, Nantong 226011, China; 2.College of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, China
Abstract:For the purse of investigating animal derived ingredients in meat products in order to help in identifying adulteration in meat products, optical gene thin-film biosensor chip technology was used to screen and analyze the animal derived components of 23 samples of meat floss, sausage, meat roll, pre-processed meat and dried meat sold on the market. The obtained results were consistent with those of real-time fluorescent quantitative polymerase chain reaction (RT-qPCR). The biosensor chip enabled more efficient screening of unknown samples. When random samples were analyzed using the biosensor chip, the results for 21.7% of these samples were inconsistent with the label information, so adulteration and false labeling of meat products should not be ignored.
Keywords:optical gene thin-film biosensor chips  real time fluorescent quantitative polymerase chain reaction  meat products  animal derived ingredients  adulteration  
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