首页> 外文学位 >SOLUBILITY PREDICTION IN NONIDEAL LIQUID MIXTURES (UNIFAC, HEXYLRESORCINOL).
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SOLUBILITY PREDICTION IN NONIDEAL LIQUID MIXTURES (UNIFAC, HEXYLRESORCINOL).

机译:非理想液体混合物(UNIFAC,己三酚)中的溶解度预测。

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摘要

Theories which predict solubility of a new or existing chemical species solely from pure component data are unsuccessful in the prediction of the solubility of solids in highly nonideal liquid mixtures. For such systems, a semiempirical approach can be used.;One part of this study determined the predictive ability of UNIFAC in a strongly interacting system involving hydrogen bonding and one in which the components differed in size and shape: the solubility of hexylresorcinol in 21 mixtures of ethyl acetate, ethyl myristate and hexane at 10.0(DEGREES), 14.9(DEGREES), 20.3(DEGREES) and 25.6(DEGREES)C. Experimental partial molar excess enthalpies and entropies of hexylresorcinol were compared with those predicted by UNIFAC to investigate the physical significance of the theory.;UNIFAC was an excellent predictor of the solubility of hexylresorcinol in these solvent mixtures with an error of greater than 15% seen in only one out of every seven solvent mixtures. The experimental partial molar excess enthalpies and entropies of hexylresorcinol, on the other hand, were not predicted well.;In a second study, mixture response surface methodology was tested as an efficient statistical method to empirically predict solubility in nonideal mixed solvent systems. In this method, a minimum number of experimentally determined solubilities are used to generate empirical equations relating solubility to solvent composition which can then be used to predict solubility in any solvent mixture. The method was used to predict xanthine solubilities in dioxane/water mixtures and was shown to be superior to the extended Hildebrand method. (Abstract shortened with permission of author.).;For the purpose of semi-empirically predicting solubility in a previously untested solvent mixture, a group-contribution approach is attractive. A group-contribution approach, UNIFAC, which is based on a quasi-chemical model for activity coefficients, has been used to predict liquid phase activity coefficients and naphthalene solubility in several polar and nonpolar solvents. For the purpose of predicting solubility, UNIFAC does not require any solubility experimentation. UNIFAC only requires that each component's structure and the enthalpy of fusion of the solid be known. Therefore, from a practical standpoint, UNIFAC would have considerable advantage over other methods.
机译:仅从纯组分数据预测新的或现有化学物种的溶解度的理论在预测固体在高度非理想液体混合物中的溶解度方面是不成功的。对于这样的系统,可以使用半经验方法。本研究的一部分确定了UNIFAC在涉及氢键的强相互作用系统中的预测能力,而其中一个组分的大小和形状不同:己基间苯二酚在21种混合物中的溶解度分别在10.0(DEGREES),14.9(DEGREES),20.3(DEGREES)和25.6(DEGREES)C下的乙酸乙酯,肉豆蔻酸乙酯和己烷的混合物。将己基间苯二酚的实验部分摩尔过剩焓和熵与UNIFAC预测的进行比较,以研究该理论的物理意义。; UNIFAC很好地预测了己基间苯二酚在这些溶剂混合物中的溶解度,误差大于15%。每七种溶剂混合物中只有一种。另一方面,对己基间苯二酚的部分摩尔过剩焓和熵的预测不是很好。在第二项研究中,测试了混合物响应表面方法作为一种有效的统计方法,以经验方法预测在非理想混合溶剂体系中的溶解度。在这种方法中,使用最少数量的实验确定的溶解度来生成将溶解度与溶剂组成相关的经验方程式,然后可将其用于预测在任何溶剂混合物中的溶解度。该方法用于预测黄烷在二恶烷/水混合物中的溶解度,并且优于扩展的Hildebrand方法。 (摘要在得到作者许可的情况下缩短。);出于半经验地预测在先前未经测试的溶剂混合物中的溶解度的目的,组贡献法是有吸引力的。基于活性系数的准化学模型的组贡献方法UNIFAC已用于预测液相活性系数和萘在几种极性和非极性溶剂中的溶解度。为了预测溶解度,UNIFAC不需要任何溶解度实验。 UNIFAC仅要求知道每个组件的结构和固体的熔化焓。因此,从实际的角度来看,联安部队将比其他方法具有相当大的优势。

著录项

  • 作者

    OCHSNER, ALLISON BECKER.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Chemistry Pharmaceutical.
  • 学位 Ph.D.
  • 年度 1985
  • 页码 164 p.
  • 总页数 164
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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