石竹叶片的薄层干燥及数学建模

S.S. Bhuva, B.A. Thaker
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引用次数: 0

摘要

摘要以拟西番莲叶、酚类、黄酮类和抗氧化剂为主要成分,对其薄层干燥特性进行了比较研究。该研究旨在确定最有效的干燥方法,以保持最佳质量的叶子。采用遮荫干燥、日光干燥和55℃托盘干燥,并根据干燥速率、干燥时间和含水率对干燥过程进行评价。结果表明,托盘干燥速率最高(0.3307 kg/kgd.h),遮荫干燥速率最低(0.0810 kg/kgd.h)。采用10个薄层干燥数学模型,对青叶的干燥行为进行了描述。采用相关系数(R2)和均方根误差(RMSE)作为比较指标,评估这些模型与水分比数据的拟合程度。midilli模型的相关系数最高,RMSE最低,说明其在描述叶片干燥特性方面具有较好的性能。在干燥方式方面,midilli模型的R2最高,RMSE最低,表明其适合于预测不同条件下的干燥行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Thin-layer drying and mathematical modeling for Simarouba glauca leaves
A comparative drying study was conducted to investigate the thin-layer drying characteristics of Simarouba glauca leaves, known for their presence of quassinoids, phenols, flavonoids and antioxidants. The study aimed to determine the most effective drying method for preserving the best quality of the leaves. Shade drying, sun drying and tray drying at 55oC were employed, and the drying process was evaluated based on drying rate, drying time and moisture ratio. The results demonstrated that tray drying exhibited the highest drying rate (0.3307 kg/kgd.h), while shade drying showed the lowest drying rate (0.0810 kg/ kgd.h). Ten mathematical models for thin-layer drying were applied to describe the drying behavior of Simarouba glauca leaves. These models were assessed based on their fit to the moisture ratio data, using correlation co-efficient (R2) and root mean square error (RMSE) as comparison metrics. The midilli model displayed the highest correlation co-efficient and the lowest RMSE, indicating its superior performance in describing the drying characteristics of the leaves. In terms of the drying methods, the midilli model exhibited the highest R2 and the lowest RMSE, suggesting its suitability for predicting the drying behaviour under various conditions.
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