Chinese Journal of Chromatography ›› 2018, Vol. 36 ›› Issue (7): 588-598.DOI: 10.3724/SP.J.1123.2018.01016

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Applications of mass spectrometry-based proteomics in food authentication and quality identification

TIAN Yujing1,2,4, ZHANG Jiukai1, CHENG Haiyan3, LI Xian2, CHEN Ying1   

  1. 1. Chinese Academy of Inspection and Quarantine, Beijing 100176, China;
    2. Department of Horticulture, Zhejiang Provincial Key Laboratory of Horticultural Plant Integrative Biology, Zhejiang University, Hangzhou 310058, China;
    3. AB Sciex(China) Co., Ltd., Beijing 100102, China;
    4. Beijing Research Institute of Commercial Machinery, All China Federation of Supply and Marketing Cooperatives, Beijing 100070, China
  • Received:2018-01-09 Online:2018-07-08 Published:2014-06-03
  • Supported by:

    National Key Research and Development Program of China(No. 2016YFD0401104);National Natural Science Foundation of China(No. 31501567).

Abstract:

Proteomics, as a new research direction in the post-genomics era, has been developing rapidly in recent years and has been applied in many fields, becoming a powerful research tool in food quality identification and safety control. Proteomics opens up a new horizon in food science research. It can not only identify the species of characteristic proteins, but also quantify the response of targeted proteins. Proteomics allows for the dynamic analysis of protein composition and content in samples that vary in species, geographical origin or growth stage. The research methods of proteomics are varied, and mass spectrometry (MS) is one of the most common techniques. This paper introduces the concept, classification, and research technology of proteomics, as well as common protein databases. Applications of MS-based proteomics in food authentication and quality identification were reviewed, including seafood, meat products, dairy products, health food, and value-added food. Furthermore, the future development of proteomics was investigated.

Key words: authentication, mass spectrometry(MS), proteomics, quality identification, review

CLC Number: