Finite element modelling and MRI validation of 3D transient water profiles in pears during postharvest storage

被引:46
|
作者
Nguyen, TA
Dresselaers, T
Verboven, P
D'hallewin, G
Culeddu, N
Van Hecke, P
Nicolaï, BM
机构
[1] Katholieke Univ Leuven, Lab Flanders Ctr Postharvest Technol, B-3001 Heverlee, Belgium
[2] Katholieke Univ Leuven, Biomed NMR Unit, B-3000 Louvain, Belgium
[3] CNR, ISPA, Sez Sassari, I-07100 Sassari, Italy
[4] CNR, ICB, I-07100 Sassari, Italy
关键词
MRI; pear; diffusion; simulation; model; mesoscale;
D O I
10.1002/jsfa.2408
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
A diffusion model based on Fick's second law was used to simulate water transport in pear fruit at various conditions (20 degrees C and 75% RH; VC and 60% RH). The finite element method was used to discretise the governing differential equations over the actual 3D pear geometry. For the first time, water transport in Conference pear fruits was described at the mesoscale level by incorporating different tissues (cuticle, inner and outer cortex) with different diffusion properties. The validated model explained water transport well as validated through nuclear magnetic resonance imaging techniques and was able to predict mass loss of intact pear during postharvest conditions. It was noticed that, at high temperature conditions, the model can be improved further by taking into account respiration and shrinkage effects. (c) 2006 Society of Chemical Industry.
引用
收藏
页码:745 / 756
页数:12
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