Lupin is an emerging sustainable protein source with significant nutritional and agronomic value. However, its metabolomic composition varies due to genetic and environmental factors, influencing traceability and quality. This study employed ultra-high performance liquid chromatography coupled with Q-Orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap-HRMS) fingerprinting to investigate metabolic differences in raw Lupinus albus L. samples from different geographical origins and farming practices. Chemometric analyses, including Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA) and Orthogonal Partial Least Squares-Discriminant Analysis (OPLS-DA), successfully differentiated samples based on their metabolic profiles. The study identified over 20 putative metabolite markers for each experiment, demonstrating significant influences of cultivation region and agricultural methods on lupin composition. These findings provide a reliable analytical approach for improving lupin traceability, quality assessment, and sustainable production, emphasizing the potential of untargeted metabolomics in food authentication and traceability.
Untargeted UHPLC-HRMS-based metabolomics for traceability of lupin (Lupinus albus L.): Revealing the impact of geographical origin and farming practices / Eugelio, Fabiola; Rivera-Pérez, Araceli; Fanti, Federico; Del Carlo, Michele; Sergi, Manuel; Compagnone, Dario; Garrido Frenich, Antonia. - In: FOOD BIOSCIENCE. - ISSN 2212-4292. - 76:(2026). [10.1016/j.fbio.2026.108253]
Untargeted UHPLC-HRMS-based metabolomics for traceability of lupin (Lupinus albus L.): Revealing the impact of geographical origin and farming practices
Sergi, Manuel;
2026
Abstract
Lupin is an emerging sustainable protein source with significant nutritional and agronomic value. However, its metabolomic composition varies due to genetic and environmental factors, influencing traceability and quality. This study employed ultra-high performance liquid chromatography coupled with Q-Orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap-HRMS) fingerprinting to investigate metabolic differences in raw Lupinus albus L. samples from different geographical origins and farming practices. Chemometric analyses, including Principal Component Analysis (PCA), Hierarchical Cluster Analysis (HCA) and Orthogonal Partial Least Squares-Discriminant Analysis (OPLS-DA), successfully differentiated samples based on their metabolic profiles. The study identified over 20 putative metabolite markers for each experiment, demonstrating significant influences of cultivation region and agricultural methods on lupin composition. These findings provide a reliable analytical approach for improving lupin traceability, quality assessment, and sustainable production, emphasizing the potential of untargeted metabolomics in food authentication and traceability.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
