Downloads provided by UsageCounts
AbstractBACKGROUNDA dynamic gastrointestinal simulator, simgi®, has been applied to assess the gastric digestion of a whey protein concentrate. Samples collected from the outlet of the stomach have been compared to those resulting from the static digestion protocol INFOGEST developed on the basis of physiologically inferred conditions.RESULTSProgress of digestion was followed by SDS‐PAGE and LC–MS/MS. By SDS‐PAGE, serum albumin and α‐lactalbumin were no longer detectable at 30 and 60 min, respectively. On the contrary, β‐lactoglobulin was visible up to 120 min, although in decreasing concentrations in the dynamic model due to the gastric emptying and the addition of gastric fluids. Moreover, β‐lactoglobulin was partly hydrolysed by pepsin probably due to the presence of heat‐denatured forms and the peptides released using both digestion models were similar. Under dynamic conditions, a stepwise increase in number of peptides over time was observed, while the static protocol generated a high number of peptides from the beginning of digestion.CONCLUSIONWhey protein digestion products using a dynamic stomach are consistent with those generated with the static protocol but the kinetic behaviour of the peptide profile emphasises the effect of the sequential pepsin addition, peristaltic shaking, and gastric emptying on protein digestibility. © 2017 Society of Chemical Industry
INFOGEST static digestion protocol, Tandem mass spectrometry, Hydrolysis, Stomach, Simgi®, Models, Biological, Gastrointestinal Tract, Kinetics, Whey Proteins, Gastric Mucosa, Whey proteins, Humans, Digestion, Dynamic gastric digestion model, Peptides
INFOGEST static digestion protocol, Tandem mass spectrometry, Hydrolysis, Stomach, Simgi®, Models, Biological, Gastrointestinal Tract, Kinetics, Whey Proteins, Gastric Mucosa, Whey proteins, Humans, Digestion, Dynamic gastric digestion model, Peptides
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 46 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 51 | |
| downloads | 74 |

Views provided by UsageCounts
Downloads provided by UsageCounts