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食品研究与开发:2023,44(8):163-169
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PCR可视化检测技术的开发及其在猪源性检测中的应用
(1.中国科学院成都生物研究所,四川 成都 610041;2.中国科学院大学,北京 100049;3.成都中医药大学,四川 成都 610000)
Development of PCR Visual Detection Technology and Its Application in Pig Origin Detection
(1.Chengdu Institute of Biology,Chinese Academy of Science,Chengdu 610041,Sichuan,China;2.University of Chinese Academy of Science,Beijing 100049,China;3.Chengdu University of Traditional Chinese Medicine,Chengdu 610000,Sichuan,China)
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投稿时间:2022-02-17    
中文摘要: 该文以G-四链体和硫磺素T为报告体系,建立一种聚合酶链式反应(polymerase chain reaction,PCR)可视化检测方法,仅需普通基因扩增仪和蓝光灯,即可在反应后通过肉眼观测荧光亮度直接判读结果,无需开盖,避免PCR产物污染问题的发生。并以猪源性DNA为检测目标设计特异性引物,建立猪源性可视化检测方法,通过对市售的牛、羊、兔、鸡、鸭肉对比,特异性良好,检测限达到0.01 ng/μL,可在混合肉DNA样品中检出1%的猪肉,并且能成功应用到实际食品样本的检测中。反应时间可控制在1 h以内,相较常用的实时荧光PCR,该方法既缩短时间,又不需要使用更昂贵的荧光PCR仪,且无需荧光基团修饰的探针,适合在简单的条件下进行快速定性检测。
Abstract:A polymerase chain reaction(PCR)visualization detection method was established using G-quadruplex and thioflavin T as the reporter system.A common gene amplification instrument and a blue light were the only items of equipment used in the entire process.After the reaction,the results were directly assessed by observing the fluorescence with the naked eye,without opening the lid of the reaction tube,which avoided PCR product contamination.Specific primers were designed to target pig-derived DNA,and a visual detection method for pig-derived meat was established.By comparing commercially available beef,sheep,rabbit,chicken,and duck meat,the specificity of the detection method was found to excellent,and the detection limit reached 0.01 ng/μL.We were able to detect 1%pork in DNA from mixed meat samples,and the method was successfully applied to the detection of pork in actual food samples.Compared with the commonly used real-time fluorescent PCR method,our method not only shortened the detection time,but also did not require the use of an expensive fluorescent PCR instrument and did not require a probe modified with a fluorophore.Thus,this method is suitable for the rapid detection of pig-derived meat under simple conditions.
文章编号:202308024     中图分类号:    文献标志码:
基金项目:四川省科技计划项目(2022YFS0432、2020YFS0370)
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