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首页> 外文期刊>Journal of Food Science and Technology >Modelling solubility of phenolics of mango ginger extract in supercritical carbon dioxide using equation of state and empirical models
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Modelling solubility of phenolics of mango ginger extract in supercritical carbon dioxide using equation of state and empirical models

机译:使用状态方程和经验模型模拟芒果姜提取物的酚类在超临界二氧化碳中的溶解度

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摘要

Solubility of phenolics of mango ginger extract in supercritical carbon dioxide was studied at 40-60 A degrees C and 100-350 bar. Critical temperature, critical pressure and critical volume of caffeic acid, the principal component of the extract were calculated using group contribution methods and compared with the values obtained by CHEMDRAWA (R). Vapor pressure of caffeic acid was predicted by Reidel method. Solubility prediction in supercritical carbon dioxide was studied using two different equation of states (EOS) models and eight empirical models. Peng-Robinson EOS predicted the solubility very well with average deviation of 0.68 % from the experimental solubility. Empirical equations based on the simple error minimization using non-linear regression method which do not require complex physiochemical properties was also found suitable to predict the solubility at different extraction conditions. Jouyban et al. model showed very less deviation (2.25 %) for predicted solubility values from the experiment.
机译:研究了芒果姜提取物的酚类化合物在40-60 A摄氏度和100-350 bar的超临界二氧化碳中的溶解度。使用组贡献法计算提取物的主要成分咖啡酸的临界温度,临界压力和临界体积,并将其与CHEMDRAWA(R)获得的值进行比较。咖啡因的蒸气压通过Reidel法预测。使用两个不同的状态方程(EOS)模型和八个经验模型研究了超临界二氧化碳中的溶解度预测。 Peng-Robinson EOS预测溶解度非常好,与实验溶解度的平均偏差为0.68%。还发现了基于使用非线性回归方法的简单误差最小化的经验方程式,该方程式不需要复杂的理化性质,也适合于预测不同萃取条件下的溶解度。 Jouyban等。该模型显示,相对于实验预测的溶解度值,偏差很小(2.25%)。

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