Chinese Journal of Chromatography ›› 2016, Vol. 34 ›› Issue (7): 657-664.DOI: 10.3724/SP.J.1123.2016.03040

• Special Column on Progress of Aptamers Selection against Multiscale Targets • Previous Articles     Next Articles

Progress on metabolomics for authenticity identification of food

YU Qiuhao1,2, ZHANG Jiukai1, YE Xingqian2, CHEN Ying1   

  1. 1. Chinese Academy of Inspection and Quarantine, Beijing 100176, China;
    2. College of Biosystems Engineering and Food Science, Fuli Institute of Food Science, Zhejiang Key Laboratory for Agro-Food Processing, Zhejiang University, Hangzhou 310058, China
  • Received:2016-03-28 Online:2016-07-08 Published:2013-02-05
  • Supported by:

    National Program on Key Research Project (No. 2016YFD0401104);Fundamental Research Funds for the Public Research Institutes of Chinese Academy of Inspection and Quarantine (No. 2016JK005).

Abstract:

With the rapid developments of food industry and the improvement of living conditions, the phenomenon of economically motivated adulteration (EMA) is an extremely issue of concern due to people's increasing requirements for food safety. Nowadays, the major EMA incidents include substitution of varieties, mislabeling geographical origin, interfusion of poor quality, incorporation of inferiority, etc. Therefore, an efficient authentication technology needs to be established. Metabolomics is defined as the quantitative and qualitative analyses of large quantity of metabolites as a whole in a given sample, which has huge advantages in non-targeted analysis. Metabolomics has been adopted extensively by both domestic and abroad researchers to study the food safety problems, which provided an alternative research tool to identify the EMA incidents. In this paper, the progress and applications of metabolomics in identifying food varieties, geographical origin, quality and counterfeits have been reviewed, which provide technical support to ensure food quality and safety and protect the interests of consumers.

Key words: adulteration, authenticity identification, food, geographical origin, metabolomics, quality assessment, review

CLC Number: