肉类掺假检测技术研究进展

doi:10.19586/j.2095-2341.2021.0103

生物技术进展 ›› 2022, Vol. 12 ›› Issue (2): 213-221.DOI: 10.19586/j.2095-2341.2021.0103

肉类掺假检测技术研究进展

余卉茹¹(), 纪艺², 彭城², 徐晓丽², 汪小福², 孙梅好¹(), 陈笑芸²()

^1.浙江师范大学化学与生命科学学院，浙江金华 321000
^2.浙江省农业科学院农产品质量安全与营养研究所，杭州 310021

收稿日期:2021-06-04 接受日期:2021-08-05 出版日期:2022-03-25 发布日期:2022-03-25
通讯作者: 孙梅好,陈笑芸
作者简介:余卉茹 E-mail：yhr_yee@163.com
基金资助:
浙江省科技计划项目(2021C02059)

Research Progress on Detection Technology of Meat Adulteration

Huiru YU¹(), Yi JI², Cheng PENG², Xiaoli XU², Xiaofu WANG², Meihao SUN¹(), Xiaoyun CHEN²()

^1.School of Chemistry and Life Sciences，Zhejiang Normal University，Zhejiang Jinhua 321000，China
^2.Institute of Agro?Product Safety and Nutrition，Zhejiang Academy of Agricultural Sciences，Hangzhou 310021，China

Received:2021-06-04 Accepted:2021-08-05 Online:2022-03-25 Published:2022-03-25
Contact: Meihao SUN,Xiaoyun CHEN

摘要/Abstract

摘要：

肉类掺假现象严重威胁公共卫生安全。快速、准确、可靠的动物源性成分检测技术是有效监管与检测肉类掺假的关键。总结了常见的掺假形式，并对物理技术、光谱技术、免疫学技术、DNA分析等检测方法进行了全面的总结归纳和比较分析，尤其是对当前热门的DNA分析方法，详细阐述了常规PCR、实时荧光定量PCR、数字PCR和等温扩增PCR这4种主要分子检测技术的优缺点和应用情况，旨在为未来动物源性检测技术的发展指明方向。

关键词: 肉类掺假, 动物源性成分检测技术, DNA分析方法

Abstract:

Meat adulteration has seriously threatened public health security. Fast， accurate and reliable animal-derived component detection technology is the key to effective supervision and detection of meat adulteration. This article summarized the common forms of adulteration， and comprehensively summarized and analyzed various methods such as physical， spectroscopy， immunology， and DNA analysis. Especially for the current popular DNA methods， it elaborated four main molecular detection technologies of conventional PCR， real-time fluorescent quantitative PCR， digital PCR and isothermal amplification PCR， and the advantages， disadvantages and applications of these technologies were discussed. This article was expected to point out the future development direction of animal-derived component detection technology.

Key words: meat adulteration, animal-derived component detection technology, DNA analytical method

中图分类号:

Q523

余卉茹, 纪艺, 彭城, 徐晓丽, 汪小福, 孙梅好, 陈笑芸. 肉类掺假检测技术研究进展[J]. 生物技术进展, 2022, 12(2): 213-221.

Huiru YU, Yi JI, Cheng PENG, Xiaoli XU, Xiaofu WANG, Meihao SUN, Xiaoyun CHEN. Research Progress on Detection Technology of Meat Adulteration[J]. Current Biotechnology, 2022, 12(2): 213-221.

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肉类掺假检测技术研究进展

Research Progress on Detection Technology of Meat Adulteration

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