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INFOGEST static in vitro simulation of gastrointestinal food digestion.
Brodkorb, André; Egger, Lotti; Alminger, Marie; Alvito, Paula; Assunção, Ricardo; Ballance, Simon; Bohn, Torsten; Bourlieu-Lacanal, Claire; Boutrou, Rachel; Carrière, Frédéric; Clemente, Alfonso; Corredig, Milena; Dupont, Didier; Dufour, Claire; Edwards, Cathrina; Golding, Matt; Karakaya, Sibel; Kirkhus, Bente; Le Feunteun, Steven; Lesmes, Uri; Macierzanka, Adam; Mackie, Alan R; Martins, Carla; Marze, Sébastien; McClements, David Julian; Ménard, Olivia; Minekus, Mans; Portmann, Reto; Santos, Cláudia N; Souchon, Isabelle; Singh, R Paul; Vegarud, Gerd E; Wickham, Martin S J; Weitschies, Werner; Recio, Isidra.
Affiliation
  • Brodkorb A; Teagasc Food Research Centre, Moorepark, Fermoy, Ireland. andre.brodkorb@teagasc.ie.
  • Egger L; Agroscope, Bern, Switzerland.
  • Alminger M; Department of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
  • Alvito P; National Institute of Health Doutor Ricardo Jorge, Lisbon and CESAM, University of Aveiro, Aveiro, Portugal.
  • Assunção R; National Institute of Health Doutor Ricardo Jorge, Lisbon and CESAM, University of Aveiro, Aveiro, Portugal.
  • Ballance S; Nofima AS, Ås, Norway.
  • Bohn T; Luxembourg Institute of Health, Strassen, Luxembourg.
  • Bourlieu-Lacanal C; INRA/Montpellier SupAgro, Montpellier, France.
  • Boutrou R; STLO, INRA, Agrocampus Ouest, Rennes, France.
  • Carrière F; Aix-Marseille, CNRS, UMR7281 Bioénergétique et Ingénierie des Protéines, Marseille, France.
  • Clemente A; Estación Experimental del Zaidin, Consejo Superior de Investigaciones Científicas (CSIC), Granada, Spain.
  • Corredig M; Department of Food Science, Aarhus University, Tjele, Denmark.
  • Dupont D; STLO, INRA, Agrocampus Ouest, Rennes, France.
  • Dufour C; SQPOV, INRA, Avignon, France.
  • Edwards C; Quadram Institute Bioscience, Norwich, UK.
  • Golding M; Riddet Institute, Massey University, Palmerston North, New Zealand.
  • Karakaya S; Department of Food Engineering, Faculty of Engineering, Ege University, Izmir, Turkey.
  • Kirkhus B; Nofima AS, Ås, Norway.
  • Le Feunteun S; STLO, INRA, Agrocampus Ouest, Rennes, France.
  • Lesmes U; Israel Institute of Technology, Technion City, Haifa, Israel.
  • Macierzanka A; Faculty of Chemistry, Gdansk University of Technology, Gdansk, Poland.
  • Mackie AR; School of Food Science & Nutrition, University of Leeds, Leeds, UK.
  • Martins C; National Institute of Health Doutor Ricardo Jorge, Lisbon and CESAM, University of Aveiro, Aveiro, Portugal.
  • Marze S; BIA, INRA, Nantes, France.
  • McClements DJ; Chenoweth Lab, Department of Food Science, University of Massachusetts, Amherst, MA, USA.
  • Ménard O; STLO, INRA, Agrocampus Ouest, Rennes, France.
  • Minekus M; Triskelion, Zeist, the Netherlands.
  • Portmann R; Agroscope, Bern, Switzerland.
  • Santos CN; Instituto de Biologia Experimental e Tecnológica, Oeiras, Portugal.
  • Souchon I; Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, Oeiras, Portugal.
  • Singh RP; GMPA, AgroParisTech, INRA, Université Paris-Saclay, Thiverval-Grignon, France.
  • Vegarud GE; Departments of Biological and Agricultural Engineering, and of Food Science and Technology, University of California, Davis, Davis, CA, USA.
  • Wickham MSJ; Department of Chemistry, Biotechnology and Food Science, Norwegian University of Life Sciences, Aas, Norway.
  • Weitschies W; Reacta Biotech Limited, The Langley Building, Manchester, UK.
  • Recio I; Ernst Moritz Arndt University of Greifswald, Greifswald, Germany.
Nat Protoc ; 14(4): 991-1014, 2019 04.
Article in En | MEDLINE | ID: mdl-30886367
Developing a mechanistic understanding of the impact of food structure and composition on human health has increasingly involved simulating digestion in the upper gastrointestinal tract. These simulations have used a wide range of different conditions that often have very little physiological relevance, and this impedes the meaningful comparison of results. The standardized protocol presented here is based on an international consensus developed by the COST INFOGEST network. The method is designed to be used with standard laboratory equipment and requires limited experience to encourage a wide range of researchers to adopt it. It is a static digestion method that uses constant ratios of meal to digestive fluids and a constant pH for each step of digestion. This makes the method simple to use but not suitable for simulating digestion kinetics. Using this method, food samples are subjected to sequential oral, gastric and intestinal digestion while parameters such as electrolytes, enzymes, bile, dilution, pH and time of digestion are based on available physiological data. This amended and improved digestion method (INFOGEST 2.0) avoids challenges associated with the original method, such as the inclusion of the oral phase and the use of gastric lipase. The method can be used to assess the endpoints resulting from digestion of foods by analyzing the digestion products (e.g., peptides/amino acids, fatty acids, simple sugars) and evaluating the release of micronutrients from the food matrix. The whole protocol can be completed in ~7 d, including ~5 d required for the determination of enzyme activities.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stomach / Biomimetic Materials / Food Ingredients / Intestines / Models, Biological / Mouth Type of study: Prognostic_studies Limits: Humans Language: En Journal: Nat Protoc Year: 2019 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Stomach / Biomimetic Materials / Food Ingredients / Intestines / Models, Biological / Mouth Type of study: Prognostic_studies Limits: Humans Language: En Journal: Nat Protoc Year: 2019 Document type: Article Affiliation country: Country of publication: