Drying Kinetics of Pear Slices in Greenhouse Solar Dryer

Rakesh Mohan Shukla
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Abstract

An experimental study was performed to determine the drying characteristics of pear using greenhouse based solar dryer and under open sun with natural convection. Prior to drying,  sliced pear samples were pre-treated: i) control inside dryer i.e. with no dip, ii) blanching, iii) soaking in 2% KMS (Potassium Metabisulphite) solution, iv) blanching and soaking in 1% KMS solution, v) control outside dryer i.e. with no dip. The experimental drying data of pear were fitted to five different mathematical models viz. Exponential, Generalized exponential, Page’s, Logarithmic and Power law models, and drying rate constants and coefficient of models tested were determined by non-linear regression analysis. Among the various models tested to interpret the drying behaviour of pear, Page’s model was selected which gave best statistical indices of coefficient of determination (R2) and standard error of estimation (SEE)  values.
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温室太阳能干燥器中梨片的干燥动力学
为了确定梨在温室太阳能干燥器和自然对流的露天阳光下的干燥特性,我们进行了一项实验研究。在干燥前,对梨片样品进行了预处理:i)干燥器内对照组,即不浸渍;ii)焯水;iii)浸泡在 2%的 KMS(焦亚硫酸钾)溶液中;iv)焯水并浸泡在 1%的 KMS 溶液中;v)干燥器外对照组,即不浸渍。梨的实验干燥数据被拟合为五种不同的数学模型,即指数模型、广义指数模型、佩奇模型、对数模型和幂律模型,并通过非线性回归分析确定了测试模型的干燥速率常数和系数。在为解释梨的干燥行为而测试的各种模型中,佩奇模型的判定系数(R2)和估计标准误差(SEE)值的统计指数最佳。
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