Understanding the evolution of moisture during isothermal dehydration of glutinous rice through global sensitivity analysis

IF 6.3 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Innovative Food Science & Emerging Technologies Pub Date : 2024-06-15 DOI:10.1016/j.ifset.2024.103733
Kabiru Ayobami Jimoh , Norhashila Hashim , Rosnah Shamsudin , Hasfalina Che Man , Mahirah Jahari , Renny Eka Putri
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Abstract

This study examined the effect of layer thickness and temperature on the evolution of moisture during the isothermal dehydration of glutinous rice. To analyse the moisture evolution, empirical models and secondary models (SM) were employed. Global sensitivity analysis (GSA) was used to estimate the importance of the experimental parameters on the developed SM. According to the dehydration curves, the increase in temperature and reduction in the layer thickness significantly shortened (P<0.05) the dehydration time of glutinous rice. The effective diffusivity, activation energy, and Gibb-free energy were 2.0×1012m2/s to 2.53×1011m2/s, 43.03 kJmol1 to 51.05 kJmol1, and 145.10 kJmol1 to 155.85 kJmol1respectively. The Page and Logarithmic models are suitably considered in evaluating the dehydration kinetics of the glutinous rice with a high coefficient of determination (R2) values of >0.9989. The SM aptly described moisture evolution with higher accuracy of R2=0.9843. The GSA shows that the variation in the SM output is primarily driven by the variation in the input parameters with low reliance on its interaction with other parameters, indicating that the SM can play a significant role in the optimization of the industrial dehydration process with a wide range of applications in the agricultural production system.

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通过全局敏感性分析了解糯米等温脱水过程中的水分变化
本研究探讨了糯米等温脱水过程中层厚度和温度对水分演变的影响。为分析水分演变,采用了经验模型和二级模型(SM)。全局敏感性分析(GSA)用于估算实验参数对所建立的二级模型的重要性。根据脱水曲线,温度的升高和层厚度的减小显著缩短了糯米的脱水时间(P<0.05)。有效扩散率、活化能和无吉布能分别为 2.0×10-12m2/s 至 2.53×10-11m2/s、43.03 kJmol-1 至 51.05 kJmol-1 和 145.10 kJmol-1 至 155.85 kJmol-1。在评估糯米的脱水动力学时,佩奇模型和对数模型得到了适当的考虑,其决定系数 (R2) 高达 >0.9989。SM模型以R2=0.9843的较高精确度恰当地描述了水分的变化。GSA 表明,SM 输出的变化主要由输入参数的变化驱动,对其与其他参数的相互作用依赖性较低,这表明 SM 在优化工业脱水过程中可发挥重要作用,在农业生产系统中具有广泛的应用前景。
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来源期刊
CiteScore
12.00
自引率
6.10%
发文量
259
审稿时长
25 days
期刊介绍: Innovative Food Science and Emerging Technologies (IFSET) aims to provide the highest quality original contributions and few, mainly upon invitation, reviews on and highly innovative developments in food science and emerging food process technologies. The significance of the results either for the science community or for industrial R&D groups must be specified. Papers submitted must be of highest scientific quality and only those advancing current scientific knowledge and understanding or with technical relevance will be considered.
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