Enhancement of Convective Banana Drying: Effect of Ethanol Pretreatment on Drying Characteristics, Color Properties, Shrinkage Ratio and Comparison of Artificial Neural Network and Thin Layer Modeling

T. Tepe
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Abstract

The effect of ethanol pretreatment on the drying characteristics, color properties, shrinkage ratio and comparison of thin layer and artificial neural network (ANN) were investigated in the current study. Ethanol pretreatment increased drying rate and reduced drying time. In addition to this, ethanol concentration and pretreatment time had positive contribution to drying rate. According to the statistical parameters, ANN modeling showed better performance in the prediction of moisture ratio of the banana samples in comparison to thin layer modeling. On the other hand, color properties were negatively affected by drying and ethanol pretreatments. L* and b* values decreased whereas a* values of the banana samples showed increment tendency. Also, total color difference (∆E) was found to be higher than 5 value, indicating that non-trained observer notices the color change. Besides, it is obviously that ethanol pretreatment affected shrinkage ratio of the banana samples. Especially, diameter shrinkage ratio increased with the increment of ethanol concentration and pretreatment time.
增强对流香蕉干燥:乙醇预处理对干燥特性、颜色特性、收缩率的影响以及人工神经网络与薄层模型的比较
本研究调查了乙醇预处理对干燥特性、颜色特性、收缩率的影响,并对薄层和人工神经网络(ANN)进行了比较。乙醇预处理提高了干燥速率,缩短了干燥时间。此外,乙醇浓度和预处理时间对干燥率也有积极影响。根据统计参数,与薄层模型相比,ANN 模型在预测香蕉样品的水分比方面表现更好。另一方面,干燥和乙醇预处理对颜色特性有负面影响。香蕉样品的 L* 值和 b* 值下降,而 a* 值呈上升趋势。此外,还发现总色差(ΔE)大于 5 值,这表明非训练有素的观察者会注意到颜色的变化。此外,乙醇预处理明显影响了香蕉样品的收缩率。特别是,直径收缩率随着乙醇浓度和预处理时间的增加而增加。
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