A multi-center peptidomic investigation of simulated gastrointestinal food digestion

Autor: Portmann, Reto, Jiménez-Barrios, Pablo, Recio, Isidra, Abbuehl, Lychou, Miralles, Beatriz, El, Sedef Nehir, Briard-Bion, Valérie, Jardin, Julien, Dupont, Didier, Deracinois, Barbara, Sayd, Thierry, Theron, Laetitia, Duval, Angéline, Chambon, C., de Noni, Ivano, Stuknyte, Milda, Barile, Daniela, Huang, Yuan-Ping, Corredig, Milena, López-Nicolás, Rubén, Dalsgaard, Trine Kastrup, Egger, Lotti
Přispěvatelé: Agroscope, Instituto de Investigación en Ciencias de la Alimentación (CIAL), Universidad Autónoma de Madrid (UAM)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Ege university, Science et Technologie du Lait et de l'Oeuf (STLO), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Rennes Angers, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Transfrontalière BioEcoAgro - UMR 1158 (BioEcoAgro), Université d'Artois (UA)-Université de Liège-Université de Picardie Jules Verne (UPJV)-Université du Littoral Côte d'Opale (ULCO)-Université de Lille-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Qualité des Produits Animaux (QuaPA), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Plateforme Exploration du Métabolisme-Composante Protéomique (PFEM-CP), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Clermont Auvergne (UCA), Università degli Studi di Milano = University of Milan (UNIMI), University of California [Davis] (UC Davis), University of California (UC), Aarhus University [Aarhus], Universidad de Murcia, INFOGEST research network (www.cost-infogest.eu)
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: 7th International Conference on Food Digestion
7th International Conference on Food Digestion, INFOGEST research network (www.cost-infogest.eu), May 2022, Cork, Ireland
Popis: This conference is a major event in the field of Food, Nutrition and Health. It is organized in the frame of the INFOGEST research network(www.cost-infogest.eu) whose objective is to “improve the health properties of food by sharing our knowledge on the digestive process”. INFOGESTis a global network of approximately 582 research scientists (academic and food companies) from 150 institutions across 46 countries.; International audience; Mass spectrometry has become the technique of choice for the simultaneous assessment of a high variety of molecules in complex food matrices. For this reason, it is best suited for precisely monitoring the evolution of digestive processes in vivo and in vitro. However, due to the variety of equipment available in different laboratories as well as settings, statistical evaluations, and interpretations, it is difficult to predict a priori the ideal parametersfor best results. Methods: The present work addressed that gap by executing an inter-laboratory study with samples collected during in vitro digestion and presenting an overview of the state of the art mass spectrometry applications and analytical capabilities available for studying food digestion.Results: Three representative high-protein foods, skim milk powder, chicken breast and tofu, were digested according to the INFOGEST protocol with sample collection at five time points during gastric and intestinal digestion. Nine laboratories analyzed all digesta with their in house equipment, conventional sample treatment procedure, data evaluation methods, and graphical representation tools. Conclusions: The compiled results demonstrate a strong consensus among labs in terms of major protein degradation for the three foods matrices and present suitable methodical andstatistical approaches for representing the analytical results.
Databáze: OpenAIRE
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