Mass spectrometry-based untargeted metabolomics approach for differentiation of beef of different geographic origins

Ka Yi Man (Corresponding Author), Chi On Chan (Corresponding Author), Hok Him Tang (Corresponding Author), Nai ping Dong, Francesco Capozzi, Ka Hing Wong (Corresponding Author), Kevin Wing Hin Kwok (Corresponding Author), Hing Man Chan (Corresponding Author), Daniel Kam Wah Mok (Corresponding Author)

Research output: Journal article publicationJournal articleAcademic researchpeer-review

9 Citations (Scopus)


Beef is a common staple food in many countries, and there is a growing concern over misinformation of beef products, such as false claims of origin, species and production methods. In this study, we used a mass spectrometry-based metabolomics approach to study the metabolite profiles of beef samples purchased from local retailers in Hong Kong. Using multivariate analysis, beef samples from different a) geographical origins, namely the United States (US), Japan and Australia, and b) feeding regimes could be differentiated. We identified twenty-four metabolites to distinguish beef samples from different countries, ten metabolites to identify Angus beef samples from others and seven metabolites to discriminate Australian beef produced by the organic farming from that produced using other farming modes. Based on results of this study, it is concluded that metabolomics provides an efficient strategy for tracing and authenticating beef products to ensure their quality and to protect consumer rights.

Original languageEnglish
Article number127847
JournalFood Chemistry
Publication statusPublished - 15 Feb 2021


  • Beef
  • Foodomics
  • Geographical origin
  • Lipidomics
  • Mass-spectrometry

ASJC Scopus subject areas

  • Analytical Chemistry
  • Food Science

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