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预测药物在混合溶剂中的溶解度:多重溶解度最大值与变色龙效应

Predicting the solubility of drugs in solvent mixtures: multiple solubility maxima and the chameleonic effect.

作者信息

Escalera J B, Bustamante P, Martin A

机构信息

Departamento de Farmacia y Tecnologia Farmaceutica, Facultad de Farmacia, Universidad de Alcala de Henares, Madrid, Spain.

出版信息

J Pharm Pharmacol. 1994 Mar;46(3):172-6. doi: 10.1111/j.2042-7158.1994.tb03772.x.

Abstract

An approach to reproduce the solubility profile of a drug in several solvent mixtures showing two solubility maxima is proposed in this work. The solubility of sulphamethoxypyridazine was determined at 25 degrees C in several mixtures of varying polarity (hexane:ethyl acetate, ethyl acetate:ethanol and ethanol:water). Sulphamethoxypyridazine was chosen as a model drug because of its proton-donor and proton-acceptor properties. A plot of the mole fraction of the drug vs the solubility parameter of the solvent mixtures shows two solubility peaks. The two peaks found for sulphamethoxypyridazine demonstrate the chameleonic effect as described by Hoy and suggest that the solute-solvent interaction does not vary uniformly from one mixture to another. The different behaviour of the drug in mixtures of two proton-donor and proton-acceptor solvents (alcohol and water), and in mixtures of one proton acceptor (ethyl acetate) and one proton donor-proton acceptor (ethanol) is rationalized in terms of differences in the proton donor-acceptor ability of the solvent mixtures. An approach based on the acidic and basic partial solubility parameters together with the Hildebrand solubility parameter of the solvent mixtures is developed to reproduce the experimental results quantitatively. The equation predicts the two solubility maxima as found experimentally, and the calculated values closely correspond to the experimental values through the range composition of the solvent mixtures. These results show that the chameleonic effect can be described in a quantitative way in terms of Lewis acid-base interactions; this approach can assist the product formulator to choose the proper solvent mixture for a new drug.

摘要

本文提出了一种方法,用于重现药物在几种显示出两个溶解度最大值的溶剂混合物中的溶解度曲线。在25℃下测定了磺胺甲氧嗪在几种不同极性混合物(己烷:乙酸乙酯、乙酸乙酯:乙醇和乙醇:水)中的溶解度。选择磺胺甲氧嗪作为模型药物是因为其具有质子供体和质子受体特性。药物的摩尔分数与溶剂混合物的溶解度参数的关系图显示出两个溶解度峰值。磺胺甲氧嗪出现的两个峰值证明了Hoy所描述的变色效应,并表明溶质 - 溶剂相互作用在不同混合物之间并非均匀变化。根据溶剂混合物质子供体 - 受体能力的差异,解释了该药物在两种质子供体和质子受体溶剂(醇和水)的混合物中以及在一种质子受体(乙酸乙酯)和一种质子供体 - 质子受体(乙醇)的混合物中的不同行为。开发了一种基于溶剂混合物的酸性和碱性部分溶解度参数以及Hildebrand溶解度参数的方法来定量重现实验结果。该方程预测出实验中发现的两个溶解度最大值,并且在溶剂混合物的整个组成范围内,计算值与实验值紧密对应。这些结果表明,变色效应可以根据路易斯酸碱相互作用以定量方式描述;这种方法可以帮助产品配方设计师为新药选择合适的溶剂混合物。

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