Modeling Food Processing Operations 2015
DOI: 10.1016/b978-1-78242-284-6.00010-6
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Modelling food digestion

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Cited by 13 publications
(11 citation statements)
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“…Recently, a promising smooth particle hydrodynamics (SPH) computational model developed originally for the intestine was applied also to a stomach‐like geometry examining gastric motility and emptying. These computational models revealed important patterns in gastric flow. For low viscosity dominant retrograde jets in the antrum, circulatory flow between the ACWs, and a so‐called “stomach road,” along which gastric emptying occurs predominantly, were reported.…”
Section: Mathematical and Computational Modelingmentioning
confidence: 99%
“…Recently, a promising smooth particle hydrodynamics (SPH) computational model developed originally for the intestine was applied also to a stomach‐like geometry examining gastric motility and emptying. These computational models revealed important patterns in gastric flow. For low viscosity dominant retrograde jets in the antrum, circulatory flow between the ACWs, and a so‐called “stomach road,” along which gastric emptying occurs predominantly, were reported.…”
Section: Mathematical and Computational Modelingmentioning
confidence: 99%
“…Computational models of peristalsis in the presence of suspended solids were proposed through the use of an immersed boundary method imposing prescribed displacements to the elastic boundaries (Fauci, 1992). Immersed boundary 980 methods and particle methods have also recently been used to describe bolus transport in the gastrointestinal tract, as reviewed by (Cleary et al, 2015). A model of esophageal motion through circular and longitudinal muscle contractions was proposed by Kou et al (Kou et al, 2015).…”
Section: In Vitro and In Silico Models Of The Esophageal Phase Of Swamentioning
confidence: 99%
“…[12,13] and the reviews in Refs. [11,14,15]. In particular, some authors have formulated anatomically accurate 3D computational models of food breakdown in the mouth [11] and of gastric digestion [11,[14][15][16].…”
Section: Introductionmentioning
confidence: 99%