Characterization of Beef Coming from Different European Countries through Stable Isotope (H, C, N, and S) Ratio Analysis

• Published in: Molecules (Basel, Switzerland) Switzerland), 2023-03, Vol.28 (6), p.2856
• Main Authors: Bontempo, Luana, Perini, Matteo, Pianezze, Silvia, Horacek, Micha, Roßmann, Andreas, Kelly, Simon D, Thomas, Freddy, Heinrich, Katharina, Schlicht, Claus, Schellenberg, Antje, Hoogewerff, Jurian, Heiss, Gerhard, Wimmer, Bernhard, Camin, Federica
• Format: Article
• Language: English
• Subjects: Animals; authenticity; Beef; Beef cattle; Carbon; Carbon Isotopes - analysis; Cattle; Chemical properties; Clustering; Diet; Environmental conditions; Enzymes; Farming systems; Feeds; Fertilizers; Food; food fraud; Food research; Food safety; Fraud; Geographical distribution; geographical origin; Geology; Isotope analysis; Isotope ratios; Isotopes; meat; Meat - analysis; Meat industry; Nitrogen; Nitrogen isotopes; Nitrogen Isotopes - analysis; Origin; Production management; Production processes; Proteins; Ratios; Safety and security measures; stable isotope ratio analysis; Stable isotopes; Standard deviation
• ISSN: 1420-3049; 1420-3049
• DOI: 10.3390/molecules28062856

The need to guarantee the geographical origin of food samples has become imperative in recent years due to the increasing amount of food fraud. Stable isotope ratio analysis permits the characterization and origin control of foodstuffs, thanks to its capability to discriminate between products having different geographical origins and derived from different production systems. The Framework 6 EU-project "TRACE" generated hydrogen ( H/ H), carbon ( C/ C), nitrogen ( N/ N), and sulphur ( S/ S) isotope ratio data from 227 authentic beef samples. These samples were collected from a total of 13 sites in eight countries. The stable isotope analysis was completed by combining IRMS with a thermal conversion elemental analyzer (TC/EA) for the analysis of ( H) and an elemental analyzer (EA) for the determination of ( C), ( N), and ( S). The results show the potential of this technique to detect clustering of samples due to specific environmental conditions in the areas where the beef cattle were reared. Stable isotope measurements highlighted statistical differences between coastal and inland regions, production sites at different latitudes, regions with different geology, and different farming systems related to the diet the animals were consuming (primarily C3- or C4-based or a mixed one).