A multi-centre peptidomics investigation of food digesta: current state of the art in mass spectrometry analysis and data visualisation

Mass spectrometry has become the technique of choice for the assessment of a high variety of molecules in complex food matrices. It is best suited for monitoring the evolution of digestive processes in vivo and in vitro. However, considering the variety of equipment available in different laboratories and the diversity of sample preparation methods, instrumental settings for data acquisition, statistical evaluations, and interpretations of results, it is difficult to predict a priori the ideal parameters for optimal results. The present work addressed this uncertainty 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. Three representative high-protein foods – skim milk powder (SMP), cooked chicken breast and tofu – were digested according to the static INFOGEST protocol with sample collection at five different time points during gastric and intestinal digestion. Ten laboratories analysed all digesta with their in-house equipment and applying theirconventional workflow.

Bibliographic Details

Main Authors:	Portmann, Reto, Jiménez-Barrios, Pablo, Jardin, Julien, Abbühl, Lychou, Barile, Daniela, Danielsen, Marianne, Huang, Yu-Ping, Kastrup Dalsgaard, Trine, Miralles, Beatriz, Briard-Bion, Valérie, Cattaneo, Stefano, Chambon, Christophe, Cudennec, Benoit, De Noni, Ivano, Deracinois, Barbara, Dupont, Didier, Duval, Angéline, Flahaut, Christophe, López-Nicolás, Rubén, Nehir El, Sedef, Pica, Valentina, Santé-Lhoutelier, Véronique, Stuknytė, Milda, Théron, Laëtitia, Sayd, Thierry, Recio, Isidra, Egger, Lotti
Other Authors:	Department of Agriculture (US)
Format:	artículo biblioteca
Language:	English
Published:	Elsevier 2023
Subjects:	Bioinformatics, In vitro digestion, Mass spectrometry, Peptidomics, Protein digestion, Visualisation,
Online Access:	http://hdl.handle.net/10261/337969
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