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A Statistical Model for Estimating the Effects of Oil Droplet Size and Oil Fraction in Microcapsules on Oxidation of Oil
Author(s) -
Miyagawa Yayoi,
Kikuchi Kohshi,
Yamamoto Shuichi,
Shiga Hirokazu,
Yoshii Hidefumi,
Adachi Shuji
Publication year - 2017
Publication title -
european journal of lipid science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.614
H-Index - 94
eISSN - 1438-9312
pISSN - 1438-7697
DOI - 10.1002/ejlt.201700225
Subject(s) - autoxidation , autocatalysis , fraction (chemistry) , volume fraction , oil droplet , percolation (cognitive psychology) , chemistry , chemical engineering , materials science , petroleum engineering , chromatography , organic chemistry , catalysis , engineering , neuroscience , biology , emulsion
Based on a two‐dimensional percolation theory and an autocatalytic rate expression for oil autoxidation, a statistical model is proposed to estimate the effects of the oil droplet size and the volume fraction of oil within the microcapsule on the oxidation of microencapsulated oil, by means of computational simulations. The model can address both the unique oxidation steps for microencapsulated oil: The rapid progress of oxidation at the early stage of storage and the leveling off of the oxidation after prolonged storage. The simulation also demonstrates that the reduction of the oil droplet size retards the oxidation of microencapsulated oil as well as lowering of the oil fraction within the microcapsule. Practical Applications : A statistical model is proposed to simulate oxidation process of microencapsulated oil. The simulation enable us to reasonably design oil microencapsulation. Based on a two‐dimensional percolation theory and an autocatalytic rate expression for oil autoxidation, a statistical model is proposed to estimate the effects of the oil droplet size and the volume fraction of oil within the microcapsule on the oxidation of microencapsulated oil, by means of computational simulations.

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