Publications by authors named "Keqin Ou"

Procyanidins in cranberries are predominantly polymers (>85%). The objective of this study was to optimise the depolymerisation of polymers and to investigate the absorption of resultant oligomers on Caco-2 cell monolayers. Depolymerisation conditions were optimised using response surface methodology.

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Scope: A major portion of ingested procyanidins is degraded by human microbiota in the colon into various phenolic compounds. These microbial metabolites are thought to contribute to the health benefits of procyanidins in vivo. The objective of this study was to identify and quantify the microbial metabolites of procyanidins after anaerobic fermentation with human microbiota.

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A-type procyanidin oligomers in cranberries are known to inhibit the adhesion of uropathogenic bacteria. B-type procyanidin dimers and trimers are absorbed by humans. The absorption of A-type procyanidins from cranberries in humans has not been demonstrated.

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Phytase in brown rice will be activated and accumulated during seed germination. Changes of phytase activity in brown rice during two stages of germination (steeping and sprouting) affected by process conditions were studied. It was shown that steeping led to significant decrease of phytase activity (p < 0.

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Effects of enzymatic hydrolysates of whey protein concentrates (WPC) on iron absorption were studied using in vitro digestion combined with Caco-2 cell models for improved iron absorption. Neutrase- and papain-treated WPC could improve iron absorption; especially hydrolysates by Neutrase could significantly increase iron absorption to 12.8% compared to 3.

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Absorption of minerals is inhibited by phytic acid, fiber, and protein because of the chelates formed. Response surface method (RSM) was used in this study to evaluate the effect of application of commercial phytase, protease, and cellulase in rice bran on the in vitro solubility of calcium (IVCa), iron (IVFe), and zinc (IVZn). It is shown that IVCa and IVZn were significantly improved by the application of phytase and cellulase, and the models of two second-order polynomials are recommended for prediction, with coefficients at R(2) = 0.

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