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首页> 外文期刊>Journal of Molecular Liquids >Thermodynamic analysis of single and binary adsorption of Food Yellow 4 and Food Blue 2 on CC-chitosan: Application of statistical physics and IAST models
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Thermodynamic analysis of single and binary adsorption of Food Yellow 4 and Food Blue 2 on CC-chitosan: Application of statistical physics and IAST models

机译：CC-Chotosan食品黄色4和食品蓝2的单一和二元吸附热力学分析：统计物理学和IAST模型的应用

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The paper is a complementary study of Food Yellow 4 and Food Blue 2 adsorption in single-compound and binary systems on modified chitosan (CC-chitosan), using statistical physics and Ideal Adsorbed Solution Theory (IAST) models. In order to provide new macroscopic interpretations of adsorption mechanisms, three thermodynamic functions were determined, such as configurationally entropy, free enthalpy and internal energy. The configurationally entropy trend showed that the dye molecules have plenty possibilities/positions to be docked on empty receptor sites at low concentrations, but limited possibilities at high equilibrium concentrations. The study of the free enthalpy and internal energy confirmed that the adsorption process in single-compound and binary systems is spontaneous. The second theoretical approach is based on the IAST model to predict the multicomponent adsorption isotherms using single-compound isotherm data. The IAST model provides a very good prediction of binary adsorption data, for both the adsorbates. Best results were obtained for Food Yellow 4 adsorption data; while for Food Blue 2 an increasing deviation between experimental and modeling binary adsorption data can be observed along with increasing concentration. Finally, the IAST model correctly described the decrease in adsorption capacity of both the dyes from single-compound to binary system, due to competition effects. (C) 2017 Elsevier B.V. All rights reserved.
机译：本文采用统计物理学和理想的吸附解决方案理论（IAST）模型对食品黄色4和食品蓝2在单复合和二元系统中吸附的互补研究。为了提供对吸附机制的新宏观解释，确定了三种热力学功能，例如配置熵，自由焓和内能量。配置熵趋势表明，染料分子具有充足的可能性/位置以在低浓度下对停靠的空穴位点停靠，但高均衡浓度的可能性有限。自由焓和内能量的研究证实，单复合和二元系统中的吸附过程是自发的。第二理论方法基于IAST模型，以预测使用单复合等温数据的多组分吸附等温线。对于吸附物，IAST模型提供了对二元吸附数据的非常好的预测。获得最佳结果，用于食品黄色4吸附数据;虽然对于食物蓝2，可以随着浓度的增加，可以观察到实验和建模二元吸附数据之间的越来越大。最后，由于竞争效应，IAST模型正确地描述了从单化合物到二元系统的染料的吸附容量的降低。 （c）2017年Elsevier B.V.保留所有权利。

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