{"title":"Prediction of drug solubility in polymer with COSMO-SAC","authors":"Xiao-Ci Lin, Hung-Cheng Huang, Chieh-Ming Hsieh","doi":"10.1016/j.jtice.2025.106177","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>For drugs categorized in Class II of the Biopharmaceutics Classification System, i.e., drugs with low solubility and high permeability, incorporating polymers to create an amorphous solid dispersion (ASD) is recognized as a strategy to mitigate its low solubility issue. However, ASDs may exist in a thermodynamically metastable state under certain composition conditions at storage temperature, resulting in recrystallization and phase separation over time. Thermodynamic phase diagrams for drug/polymer binary systems, which consist of drug solubility versus temperature and glass-transition temperature versus drug content curves, provide essential information for designing an optimal ASD.</div></div><div><h3>Methods</h3><div>The COSMO-SAC model is applied to predict drug solubility in polymers at different temperatures, and its accuracy is evaluated using solubility data from 59 drug-polymer binary systems composed of 19 drugs and 22 polymers with varying molecular weights and types. The well-known Gordon-Taylor model is used to describe the relationship between glass-transition temperatures and drug compositions.</div></div><div><h3>Significant Findings</h3><div>The solubility predicted by the COSMO-SAC model without predetermined species-specific parameters or empirical binary interaction parameters is comparable to that predicted from other models. This study highlights the potential for generating a thermodynamic phase diagram by combining the results from the COSMO-SAC model and the Gordon-Taylor equation.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"173 ","pages":"Article 106177"},"PeriodicalIF":5.5000,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Taiwan Institute of Chemical Engineers","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1876107025002305","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background
For drugs categorized in Class II of the Biopharmaceutics Classification System, i.e., drugs with low solubility and high permeability, incorporating polymers to create an amorphous solid dispersion (ASD) is recognized as a strategy to mitigate its low solubility issue. However, ASDs may exist in a thermodynamically metastable state under certain composition conditions at storage temperature, resulting in recrystallization and phase separation over time. Thermodynamic phase diagrams for drug/polymer binary systems, which consist of drug solubility versus temperature and glass-transition temperature versus drug content curves, provide essential information for designing an optimal ASD.
Methods
The COSMO-SAC model is applied to predict drug solubility in polymers at different temperatures, and its accuracy is evaluated using solubility data from 59 drug-polymer binary systems composed of 19 drugs and 22 polymers with varying molecular weights and types. The well-known Gordon-Taylor model is used to describe the relationship between glass-transition temperatures and drug compositions.
Significant Findings
The solubility predicted by the COSMO-SAC model without predetermined species-specific parameters or empirical binary interaction parameters is comparable to that predicted from other models. This study highlights the potential for generating a thermodynamic phase diagram by combining the results from the COSMO-SAC model and the Gordon-Taylor equation.
期刊介绍:
Journal of the Taiwan Institute of Chemical Engineers (formerly known as Journal of the Chinese Institute of Chemical Engineers) publishes original works, from fundamental principles to practical applications, in the broad field of chemical engineering with special focus on three aspects: Chemical and Biomolecular Science and Technology, Energy and Environmental Science and Technology, and Materials Science and Technology. Authors should choose for their manuscript an appropriate aspect section and a few related classifications when submitting to the journal online.