首页> 外文期刊>The Korean journal of chemical engineering >Study on the activity coefficients and solubilities of amino acids in aqueous solutions with perturbed-chain statistical associating fluid theory
【24h】

Study on the activity coefficients and solubilities of amino acids in aqueous solutions with perturbed-chain statistical associating fluid theory

机译:扰动链统计缔合流体理论研究水溶液中氨基酸的活度系数和溶解度

获取原文
获取原文并翻译 | 示例
           

摘要

Perturbed-chain statistical associating fluid theory (PC-SAFT) was applied for modeling the thermody-namic properties of aqueous amino acid solutions. To account for the association phenomena of amino acids occurring in the aqueous solution, the zwitterionic forms of amino acids are assumed to be associating species with proton donor and acceptor sites. Also, in order to reduce the number of adjustable parameters of PC-SAFT equation of state (EoS) for amino acids from five to three, it is assumed that segment numbers of amino acids are linearly related with the molecular weight of amino acids, and the association volume parameters of amino acids can be set to a fixed value. Thus, 3-parameters of PC-SAFT EoS for amino acids were estimated by simultaneously fitting the activity coefficients of amino acid and densities data in the aqueous amino acid solutions. The PC-SAFT EoS with estimated 3-parameters of amino acid is found to well describe activity coefficients of amino acid and densities of the aqueous amino acid solutions. Also, this equation was used for predicting solubilities of amino acids as well as the water activities and osmotic coefficients in the aqueous amino acid solutions. The predicted values of these properties are in good agreement with the experimental data.
机译:应用扰动链统计缔合流体理论(PC-SAFT)对氨基酸水溶液的热力学性质进行建模。为了解释水溶液中存在的氨基酸的缔合现象,假定氨基酸的两性离子形式是与质子供体和受体位点缔合的物种。另外,为了将氨基酸的PC-SAFT状态方程(EoS)的可调整参数的数量从5个减少到3个,假定氨基酸的片段数与氨基酸的分子量线性相关,并且氨基酸的缔合体积参数可以设定为固定值。因此,通过同时拟合氨基酸的活性系数和氨基酸水溶液中的密度数据,估计了氨基酸的PC-SAFT EoS的3参数。发现具有估计的氨基酸3参数的PC-SAFT EoS可以很好地描述氨基酸的活性系数和氨基酸水溶液的密度。而且,该方程用于预测氨基酸的溶解度以及氨基酸水溶液中的水活度和渗透系数。这些性能的预测值与实验数据非常吻合。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号