Meat, the metabolites: an integrated metabolite profiling and lipidomics approach for the detection of the adulteration of beef with pork

Drupad K. Trivedi, Katherine A. Hollywood, Nicholas J. W. Rattray, Holli Ward, Dakshat K. Trivedi, Joseph Greenwood, David I. Ellis, Royston Goodacre

Research output: Contribution to journalArticlepeer-review

51 Citations (Scopus)

Abstract

Adulteration of high quality food products with sub-standard and cheaper grades is a world-wide problem taxing the global economy. Currently, many traditional tests suffer from poor specificity, highly complex outputs and a lack of high-throughput processing. Metabolomics has been successfully used as an accurate discriminatory technique in a number of applications including microbiology, cancer research and environmental studies and certain types of food fraud. In this study, we have developed metabolomics as a technique to assess the adulteration of meat as an improvement on current methods. Different grades of beef mince and pork mince, purchased from a national retail outlet were combined in a number of percentage ratios and analysed using GC-MS and UHPLC-MS. These techniques were chosen because GC-MS enables investigations of metabolites involved in primary metabolism whilst UHPLC-MS using reversed phase chromatography provides information on lipophilic species. With the application of chemometrics and statistical analyses, a panel of differential metabolites were found for identification of each of the two meat types. Additionally, correlation was observed between metabolite content and percentage of fat declared on meat products' labelling.

Original languageEnglish
Pages (from-to)2155-2164
Number of pages10
JournalAnalyst
Volume141
Issue number7
Early online date16 Feb 2016
DOIs
Publication statusPublished - 7 Apr 2016

Keywords

  • food product adulteration
  • metabolomics
  • food fraud
  • beef
  • pork

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