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药物固态性质对其水溶性的影响

Contribution of solid-state properties to the aqueous solubility of drugs.

作者信息

Wassvik Carola M, Holmén Anders G, Bergström Christel A S, Zamora Ismael, Artursson Per

机构信息

Department of Pharmacy, Uppsala University, P.O. Box 580, SE-75123 Uppsala, Sweden.

出版信息

Eur J Pharm Sci. 2006 Nov;29(3-4):294-305. doi: 10.1016/j.ejps.2006.05.013. Epub 2006 Jun 7.

Abstract

This study investigates the influence of the solid-state properties melting point (T(m)), enthalpy of melting (DeltaH(m)) and entropy of melting (DeltaS(m)) of a drug on its intrinsic solubility (S(0)). For this purpose, 26 chemically and structurally diverse drugs covering the oral drug space were selected and the S(0), T(m), DeltaH(m) and DeltaS(m) were determined experimentally. The influence of T(m), DeltaH(m) and DeltaS(m) on S(0) was studied using regression analysis. The overall improvement of the predictions were 0.3 log units, however, five compounds (astemizole, glyburide, fenbufen, gliclazide and griseofulvin) were improved by more than one log unit. T(m) and DeltaH(m) had a larger effect than DeltaS(m) on the solubility predictions. The well-known general solubility equation (GSE) and the Dannenfelser semi-empirical equation for the calculation of DeltaS(m) were evaluated using our data set. While predictions of drug solubility obtained using the GSE were acceptable, the use of the experimental DeltaS(m) values instead of the constant 56.5 J mol(-1)K(-1) improved the accuracy of the prediction. The Dannenfelser equation underestimated the DeltaS(m) for most compounds with on average 15 J mol(-1)K(-1). Our results show that solid-state properties should be considered for improved performance of future models for prediction of drug solubility. In addition our study provides accurate experimental data on intrinsic solubility for 26 compounds, supplying a useful external data set for validation of drug solubility models.

摘要

本研究考察了药物的固态性质熔点(T(m))、熔化焓(ΔH(m))和熔化熵(ΔS(m))对其固有溶解度(S(0))的影响。为此,选择了涵盖口服药物领域的26种化学结构各异的药物,并通过实验测定了S(0)、T(m)、ΔH(m)和ΔS(m)。采用回归分析研究了T(m)、ΔH(m)和ΔS(m)对S(0)的影响。预测的总体改进为0.3个对数单位,然而,有五种化合物(阿司咪唑、格列本脲、芬布芬、格列齐特和灰黄霉素)的改进超过了一个对数单位。T(m)和ΔH(m)对溶解度预测的影响比ΔS(m)更大。使用我们的数据集对著名的通用溶解度方程(GSE)和用于计算ΔS(m)的丹嫩费尔泽半经验方程进行了评估。虽然使用GSE获得的药物溶解度预测是可以接受的,但使用实验ΔS(m)值而非常数56.5 J mol(-1)K(-1)提高了预测的准确性。丹嫩费尔泽方程对大多数化合物的ΔS(m)估计偏低,平均低15 J mol(-1)K(-1)。我们的结果表明,为了提高未来药物溶解度预测模型的性能,应考虑固态性质。此外,我们的研究提供了26种化合物固有溶解度的准确实验数据,为药物溶解度模型的验证提供了一个有用的外部数据集。

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