Jingxuan Qiu*, Rui Zhang, Chaoqun Zhang, Jing Lin, Cong Liu, Yunchun Guo, Huiliang Wang, Yingxin Xie and Ke Xiao,
{"title":"苯丙酸酯在283.15 ~ 323.15 K 12种纯溶剂中的溶解度测定和热力学模型","authors":"Jingxuan Qiu*, Rui Zhang, Chaoqun Zhang, Jing Lin, Cong Liu, Yunchun Guo, Huiliang Wang, Yingxin Xie and Ke Xiao, ","doi":"10.1021/acs.jced.5c0005410.1021/acs.jced.5c00054","DOIUrl":null,"url":null,"abstract":"<p >In this work, the solubility of phenprobamate in water, acetone, 2-butanone, methyl acetate, ethyl acetate, methanol, ethanol, <i>n</i>-propanol, isopropanol, <i>n</i>-butanol, <i>sec</i>-butanol, and 1-pentanol was determined by a static gravimetric method at temperatures ranging from 283.15 to 323.15 K under atmospheric pressure. The solubility magnitudes increase monotonously with the increase of temperature in each solvent. The solubility is roughly ranked as propanone > methyl ethyl ketone > acetic acid methyl ester > ethyl acetate > water in non-alcohol solvents and methanol > 1-pentanol > <i>sec</i>-butanol > ethanol > <i>n</i>-butanol > <i>n</i>-propanol > isopropanol in alcohols. The solubility of phenprobamate could be ultimately determined by the combined influence of solvent polarity, hydrogen bond acceptor propensities, solvent–solvent intermolecular interactions, and spatial steric hindrance. In addition, the solubility data were correlated by the Apelblat model and the Yaws model. The outcomes show that the two models could both satisfactorily fit the experimental data, in which the Yaws model is more appropriate to correlate the solubility of phenprobamate compared with the Apelblat model. The data reported in this work contribute to the further crystallization and separation process of phenprobamate.</p>","PeriodicalId":42,"journal":{"name":"Journal of Chemical & Engineering Data","volume":"70 6","pages":"2494–2504 2494–2504"},"PeriodicalIF":2.0000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Solubility Determination and Thermodynamic Modeling of Phenprobamate in 12 Pure Solvents from 283.15 to 323.15 K\",\"authors\":\"Jingxuan Qiu*, Rui Zhang, Chaoqun Zhang, Jing Lin, Cong Liu, Yunchun Guo, Huiliang Wang, Yingxin Xie and Ke Xiao, \",\"doi\":\"10.1021/acs.jced.5c0005410.1021/acs.jced.5c00054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >In this work, the solubility of phenprobamate in water, acetone, 2-butanone, methyl acetate, ethyl acetate, methanol, ethanol, <i>n</i>-propanol, isopropanol, <i>n</i>-butanol, <i>sec</i>-butanol, and 1-pentanol was determined by a static gravimetric method at temperatures ranging from 283.15 to 323.15 K under atmospheric pressure. The solubility magnitudes increase monotonously with the increase of temperature in each solvent. The solubility is roughly ranked as propanone > methyl ethyl ketone > acetic acid methyl ester > ethyl acetate > water in non-alcohol solvents and methanol > 1-pentanol > <i>sec</i>-butanol > ethanol > <i>n</i>-butanol > <i>n</i>-propanol > isopropanol in alcohols. The solubility of phenprobamate could be ultimately determined by the combined influence of solvent polarity, hydrogen bond acceptor propensities, solvent–solvent intermolecular interactions, and spatial steric hindrance. In addition, the solubility data were correlated by the Apelblat model and the Yaws model. The outcomes show that the two models could both satisfactorily fit the experimental data, in which the Yaws model is more appropriate to correlate the solubility of phenprobamate compared with the Apelblat model. The data reported in this work contribute to the further crystallization and separation process of phenprobamate.</p>\",\"PeriodicalId\":42,\"journal\":{\"name\":\"Journal of Chemical & Engineering Data\",\"volume\":\"70 6\",\"pages\":\"2494–2504 2494–2504\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Chemical & Engineering Data\",\"FirstCategoryId\":\"1\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acs.jced.5c00054\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Chemical & Engineering Data","FirstCategoryId":"1","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.jced.5c00054","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Solubility Determination and Thermodynamic Modeling of Phenprobamate in 12 Pure Solvents from 283.15 to 323.15 K
In this work, the solubility of phenprobamate in water, acetone, 2-butanone, methyl acetate, ethyl acetate, methanol, ethanol, n-propanol, isopropanol, n-butanol, sec-butanol, and 1-pentanol was determined by a static gravimetric method at temperatures ranging from 283.15 to 323.15 K under atmospheric pressure. The solubility magnitudes increase monotonously with the increase of temperature in each solvent. The solubility is roughly ranked as propanone > methyl ethyl ketone > acetic acid methyl ester > ethyl acetate > water in non-alcohol solvents and methanol > 1-pentanol > sec-butanol > ethanol > n-butanol > n-propanol > isopropanol in alcohols. The solubility of phenprobamate could be ultimately determined by the combined influence of solvent polarity, hydrogen bond acceptor propensities, solvent–solvent intermolecular interactions, and spatial steric hindrance. In addition, the solubility data were correlated by the Apelblat model and the Yaws model. The outcomes show that the two models could both satisfactorily fit the experimental data, in which the Yaws model is more appropriate to correlate the solubility of phenprobamate compared with the Apelblat model. The data reported in this work contribute to the further crystallization and separation process of phenprobamate.
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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