首页> 外文期刊>The Journal of Supercritical Fluids >Modelling solubility of solid active principle ingredients in sc-CO2 with and without cosolvents: A comparative assessment of semiempirical models based on Chrastil's equation and its modifications
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Modelling solubility of solid active principle ingredients in sc-CO2 with and without cosolvents: A comparative assessment of semiempirical models based on Chrastil's equation and its modifications

机译:固态活性成分成分在有或没有助溶剂的情况下在sc-CO2中的溶解度建模:基于Chrastil方程及其修正的半经验模型的比较评估

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Predicting solubility of solids in supercritical solvents with and without cosolvents is a key step supporting the application of supercritical fluids to processes as the extraction of natural compounds and particle engineering. The aim of this work is modelling the solubility of solid therapeutic compounds in supercritical carbon dioxide with and without cosolvents using semiempirical models. A comparative assessment of eight models is presented based on deviations, number of parameters, range of applicability (concentration of cosolvents and proximity to the mixture critical point) and cosolvent-solute interactions. All equations provide an average deviation on solubility around 10%. The use of the Gonzalez (with four parameters) and Reddy and Madras equation (with five parameters) is judged the most convenient as they have the smaller number of parameters and are applicable over a suitable range of cosolvent concentrations. In all cases it has been possible to relate the solubility behaviour to the cosolvent-solute interaction and the concentration of cosolvent. However, deviations increase when conditions are slightly close to the mixture critical point. A modification is proposed through the introduction of a "q exponential function". The modified q-models can be regarded as generalized models based on the Tsallis's statistical non-extensive entropy theory. In fact, the original Chrastil and Gonzalez equation can be seen as a particular case of the q-Chrastil and q-Gonzalez models. They have deviations similar to the other model and show potential for further studies.
机译:预测在有或没有助溶剂的情况下,固体在超临界溶剂中的溶解度是支持将超临界流体应用于自然化合物的提取和颗粒工程的过程的关键步骤。这项工作的目的是使用半经验模型来模拟固体治疗化合物在有或没有助溶剂的情况下在超临界二氧化碳中的溶解度。根据偏差,参数数量,适用范围(助溶剂浓度和接近混合物临界点)和助溶剂-溶质相互作用,对八个模型进行了比较评估。所有方程式均提供约10%的溶解度平均偏差。冈萨雷斯(具有四个参数)以及Reddy和Madras方程(具有五个参数)的使用被认为是最方便的,因为它们具有较少的参数数量,并且适用于合适的助溶剂浓度范围。在所有情况下,都可能将溶解度行为与助溶剂-溶质相互作用和助溶剂浓度相关联。但是,当条件稍微接近混合临界点时,偏差会增加。通过引入“ q指数函数”提出了一种修改。根据Tsallis的统计非扩展熵理论,可以将修改后的q模型视为广义模型。实际上,原始的Chrastil和Gonzalez方程可以看作是q-Chrastil和q-Gonzalez模型的特殊情况。它们的偏差与其他模型相似,并且有进一步研究的潜力。

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