模拟酮洛芬在不同温度下的单溶剂溶解度

Revista Colombiana de Ciencias Químico-Farmacéuticas Pub Date : 2023-03-23 DOI:10.15446/rcciquifa.v51n3.107383

A. Jouyban

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引用次数: 0

摘要

目的:建立酮洛芬在不同温度下在单溶剂中的溶解度计算的相关模型。方法:先前报道的酮洛芬在不同温度下在许多单一溶剂中的溶解度数据使用最近开发的模型重新分析，该模型采用Abraham, Hansen和catalalan参数作为输入值。通过计算残差标准差(SDRs)来评价模型的准确性，并与以往的模型进行比较。结果:该模型对酮洛芬在不同温度下的溶解度具有非常精确的相关性。所得SDR为2.20，而以往报告模型的SDR为1.54 ~ 2.56。新模型使用单一模型将整个溶解度数据关联起来，而其他模型使用单独的模型常数集将每种单一溶剂中的溶解度数据关联起来。结论:所建立的模型以单溶剂的Abraham、Hansen和Catalan参数作为输入值，对酮洛芬的检测结果具有较好的准确性。

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Modeling the solubility of ketoprofen in mono-solvents at various temperatures

Aim: To report a correlative model to calculate the solubility of ketoprofen in mono-solvents at various temperatures. Methodology: Previously reported solubility data of ketoprofen in a number of mono-solvents at various temperatures are re-analyzed using a recently developed model employing Abraham, Hansen and Catalan parameters as input values. The accuracy of the model is evaluated by computing the standard deviation of residuals (SDRs) and compared with those of previous models. Results: The new model provided very accurate correlation for the solubility of ketoprofen in the investigated mono-solvents at various temperatures. The obtained SDR is 2.20 where the SDRs of previously reported models are 1.54 to 2.56. The new model correlates whole solubility data using a single model, whereas other models correlate the solubility data in each mono-solvent using a separate set of model constants. Conclusion: The trained model provided reasonably accurate results for ketoprofen by using Abraham, Hansen and Catalan parameters of the mono-solvents as input values.

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Revista Colombiana de Ciencias Químico-Farmacéuticas

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