Members: Dr. Veronica Baroni, Dr. Federico Brigante, Dr Agustin Lucini Mas
Nowadays, there is a remarkable interest of consumers and producers in the composition, quality and certification of food products. In our research group we implement targeted and untargeted metabolomics using different analytical methods such as liquid chromatography (LC), gas chromatography (GC), mass spectrometry (MS) and nuclear magnetic resonance (NMR) to determine metabolites related to different food components. These metabolites could serve as a set of markers to verify the traceability, authenticity and integrity of food.
Authenticity assessment of commercial bakery products with chia, flax and sesame seeds: Application of targeted and untargeted metabolomics results from seeds and lab-scale cookies. Food Control, 2022, 140, 109114 https://doi.org/10.1016/j.foodcont.2022.109114
Identification of chia, flax and sesame seeds authenticity markers by NMR-based untargeted metabolomics and their validation in bakery products containing them. Food Chemistry, 2022, 387, 132925. https://doi.org/10.1016/j.foodchem.2022.132925
Comparative metabolite fingerprinting of chia, flax and sesame seeds using LC-MS untargeted metabolomics. Food Chemistry, 2022, 371, 131355 https://doi.org/10.1016/j.foodchem.2021.131355
Targeted metabolomics to assess the authenticity of bakery products containing chia, sesame and flax seeds. Food Chemistry, 2020, 312, 126059 https://doi.org/10.1016/j.foodchem.2019.126059
Discovery of food identity markers by metabolomics and machine learning technology. Scientific Reports, 2019, 9(1), 9697 https://doi.org/10.1038/s41598-019-46113-y (Open Access)