摘要
肉类食品是人们饮食结构的重要组成部分,而近年来,肉类掺假现象频发,严重威胁到公众的利益。因此,建立快速准确的肉类鉴别检测方法逐渐成为一个热点问题。以PCR为基础的实时荧光PCR检测技术在实现定性定量分析的同时,与常规方法相比,具有自动化程度及动态范围更高的特点,在肉类掺假检测方面具有巨大的应用价值。该文从实时荧光PCR检测技术的检测原理出发,进一步探讨其操作流程,并对不同类别的实时荧光PCR检测技术在肉类掺假中的应用进行整合。在肉类鉴定中,实时荧光PCR技术可分为荧光探针法和荧光染料法2大类,近年来在不断发展完善的过程中仍存在着一些挑战,且将向提高检测效率和提高检测结果准确性的方向发展。因此该文提出在已有研究的基础上结合新技术建立标准化检验流程的想法,以期为肉类掺假检测技术的发展起到借鉴意义和指导作用。
Meat adulteration has seriously threatened the public interest, therefore, establishing a fast and accurate detection method for meat identification has gradually risen public concern. PCR-based real-time fluorescent PCR can be used for qualitative and quantitative analysis and has the characteristics of higher automation degree and dynamic range. Therefore, it has great application potential for detecting meat adulteration. Based on the principle of real-time fluorescent PCR, this review further explored its operation process and integrated different types of real-time fluorescent PCR used for meat adulteration detection. For meat identification, real-time fluorescent PCR technology can use either fluorescent probe or fluorescent dye. These technologies still have some challenges in the process of continuous development and improvement in recent years to increase efficiency and accuracy. Overall, this review proposed to establish a standardized inspection process based on existing research and new technologies in order to further develop meat adulteration detection technology.
作者
彭媛媛
武煊
陶晓奇
PENG Yuanyuan;WU Xuan;TAO Xiaoqi(College of Food Science, Southwest University, Chongqing 400715, China;National Food Science and Engineering Experimental Teaching Center (Southwest University), Chongqing 400715, China;Chongqing Animal Disease Prevention and Control Center, Chongqing 401120, China)
出处
《食品与发酵工业》
CAS
CSCD
北大核心
2019年第15期279-287,共9页
Food and Fermentation Industries
基金
国家自然科学基金面上项目(31672605)
重庆市基础科学与前沿技术研究(cstc2017jcyjAX0313)
重庆市基础研究与前沿探索项目(cstc2018jcyjAX0242)
中国博士后科学基金面上资助(2016M590855)
重庆市博士后科研项目特别资助(Xm2017074)
关键词
实时荧光PCR
肉类掺假
定量
real-time PCR
meat adulteration
quantitative analysis
