Solubility Measurements of Finerenone in Ten Monosolvents and Two Binary Solvent Mixtures

IF 2 3区 工程技术 Q3 CHEMISTRY, MULTIDISCIPLINARY
Jia Lin, Yanfang Wu, Shengyuan Chang and Yan Liu*, 
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Abstract

The solubility of finerenone, a third-generation nonsteroidal mineralocorticoid receptor antagonist drug, was measured in 10 monosolvents (methanol, ethanol, isopropanol, methyl acetate, ethyl acetate, isopropyl acetate, acetone, 2-butanone, acetonitrile, and dichloromethane) and two binary solvent mixtures (methanol + water and acetonitrile + water). Measurements were conducted at temperatures ranging from 273.15 to 313.15 K using PAT tools. In the methanol + water system, water acted solely as an antisolvent. However, in the acetonitrile + water system, finerenone’s solubility exceeded its solubility in pure acetonitrile, reaching a maximum at a water mass fraction of approximately 0.2. To expand the applicability of the results, the experimental solubility data was correlated with the modified Apelblat model, the λh model, and the CNIBS/R-K model. The relative average deviation and root-mean-square deviation values indicate that the correlation results align well with the experimental data, and the modified Apelblat model proved the most suitable.

Abstract Image

细烯酮在十种单溶剂和两种二元溶剂混合物中的溶解度测定
采用10种单溶剂(甲醇、乙醇、异丙醇、乙酸甲酯、乙酸乙酯、乙酸异丙酯、丙酮、2-丁酮、乙腈和二氯甲烷)和2种二元溶剂混合物(甲醇+水和乙腈+水)测定了第三代非甾体类矿物皮质激素受体拮抗剂芬烯酮的溶解度。使用PAT工具在273.15至313.15 K的温度范围内进行测量。在甲醇+水体系中,水仅作为抗溶剂。但在乙腈+水体系中,细烯酮的溶解度超过了其在纯乙腈中的溶解度,在水质量分数约为0.2时达到最大值。为了扩大结果的适用性,将实验溶解度数据与改进的Apelblat模型、λh模型和CNIBS/R-K模型进行了关联。相对平均偏差和均方根偏差值表明,相关结果与实验数据吻合较好,修正的Apelblat模型最合适。
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来源期刊
Journal of Chemical & Engineering Data
Journal of Chemical & Engineering Data 工程技术-工程:化工
CiteScore
5.20
自引率
19.20%
发文量
324
审稿时长
2.2 months
期刊介绍: The Journal of Chemical & Engineering Data is a monthly journal devoted to the publication of data obtained from both experiment and computation, which are viewed as complementary. It is the only American Chemical Society journal primarily concerned with articles containing data on the phase behavior and the physical, thermodynamic, and transport properties of well-defined materials, including complex mixtures of known compositions. While environmental and biological samples are of interest, their compositions must be known and reproducible. As a result, adsorption on natural product materials does not generally fit within the scope of Journal of Chemical & Engineering Data.
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