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预测酸碱及其盐在非缓冲条件下的表面 pH 值——模型方法及其性能综述。

Predicting Surface pH in Unbuffered Conditions for Acids, Bases, and Their Salts - A Review of Modeling Approaches and Their Performance.

机构信息

Oral Product Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Gothenburg 431 50, Sweden.

Oral Product Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield SK10 2NA, U.K.

出版信息

Mol Pharm. 2024 Feb 5;21(2):513-534. doi: 10.1021/acs.molpharmaceut.3c00661. Epub 2023 Dec 21.

Abstract

Dissolution of ionizable drugs and their salts is a function of drug surface solubility driven by the surface pH, i.e., the microenvironmental pH at the solid/liquid interface, which will deviate from bulk pH when there is an acid-base reaction occurring at the solid/liquid interface. In this work, we first present a brief overview of the modeling approaches available in the literature, classified according to the rate-determining step assumed in the dissolution process. In the second part, we present and evaluate the prediction performance of two different modeling approaches for surface pH. The first method relies only on thermodynamic equilibria, while the second method accounts for transport phenomena of charged compounds through the diffusional boundary layer using the Nernst - Planck equation. Model outcomes are compared with experimental data taken from the literature and obtained during this work. In terms of surface pH predictions, the models provide identical values for weak acids or weak bases. The models' outcomes for bases are in good agreement with experimental data in acidic conditions (bulk pH 1-4), while overpredictions are observed in the 5-7 bulk pH range in a system-dependent manner. Deviations can be related to the effect of surface dissolution (also referred to as surface reaction), which may become a controlling mechanism and slow the replenishment of the unionized drug at the surface of the crystal. Surface pH predictions for acids are generally in good agreement with experiments, with a slight underestimation for some drug examples, which could be related to errors in intrinsic solubility determination or to the assumption of thermodynamic equilibrium at the surface of the drug. A good agreement is also observed for salts with the thermodynamic model except for mesylate salts, suggesting that other phenomena, not currently included in the thermodynamic equilibrium model, may determine the surface pH.

摘要

可离子化药物及其盐的溶解是药物表面溶解度的函数,由固/液界面的表面 pH 驱动,即固/液界面处的微环境 pH,当发生酸碱反应时,它会偏离体相 pH。在这项工作中,我们首先简要概述了文献中可用的建模方法,根据溶解过程中假定的速率决定步骤进行分类。在第二部分,我们提出并评估了两种不同的表面 pH 建模方法的预测性能。第一种方法仅依赖于热力学平衡,而第二种方法则通过使用能斯特-普朗克方程来考虑带电化合物在扩散边界层中的传输现象。模型结果与文献中的实验数据和本工作中获得的数据进行了比较。就表面 pH 预测而言,对于弱酸或弱碱,模型提供相同的数值。在酸性条件下(体相 pH1-4),模型对碱的结果与实验数据非常吻合,而在 5-7 的体相 pH 范围内则存在系统依赖性的过预测。偏差可归因于表面溶解(也称为表面反应)的影响,这可能成为控制机制,并减缓晶体表面未离解药物的补充。对于酸,表面 pH 的预测通常与实验结果非常吻合,对于一些药物实例则存在轻微低估,这可能与内在溶解度测定中的误差或药物表面热力学平衡的假设有关。热力学模型对盐也有很好的一致性,除了甲磺酸盐外,这表明可能还有其他目前未包含在热力学平衡模型中的现象决定了表面 pH。

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