Yongpeng Mou, Yinhu Pan, Zhiying Pan, Yan Wang, Yixiang Wu, Shimin Fang, Shichao Du* and Fumin Xue*,
{"title":"Determination and Correlation of the Solubility of D-Psicose in 15 Pure Solvents at Temperatures of 283.15 to 323.15 K","authors":"Yongpeng Mou, Yinhu Pan, Zhiying Pan, Yan Wang, Yixiang Wu, Shimin Fang, Shichao Du* and Fumin Xue*, ","doi":"10.1021/acs.jced.4c0030010.1021/acs.jced.4c00300","DOIUrl":null,"url":null,"abstract":"<p >The solubility of <span>d</span>-psicose in 15 pure solvents, including methanol, ethanol, n-propanol, isopropanol, <i>n</i>-butanol, 2-butanol, n-amyl alcohol, <i>n</i>-hexyl alcohol, acetonitrile, ethyl formate, methyl acetate, ethyl acetate, butyl acetate, acetone, and 2-butanone, was determined by the gravimetric method in the temperature range of 283.15–323.15 K. The solubility of <span>d</span>-psicose was the highest in methanol and the lowest in acetonitrile. At the temperature of 298.15 K, the solubility of <span>d</span>-psicose in alcohol solvents is as follows: methanol > ethanol > isopropanol > <i>n</i>-propanol >2- butanol > <i>n</i>-butanol > <i>n</i>-amyl alcohol > <i>n-</i>hexyl alcohol. The solubility in the esters is as follows: ethyl acetate > ethyl formate > methyl acetate > butyl acetate. The solubility in ketone solvents is as follows: acetone >2-butanone. The modified Apelblat model, <i>λh</i> model, nonrandom two-liquid (NRTL) model, and Van’t Hoff model were used to analyze the solubility data of <span>d</span>-psicose in 15 pure solvents. The solvent effect of <span>d</span>-psicose in the measured solvent was investigated by KAT-LSER model. The results show that hydrogen bond acidity and Hildebrand solubility parameters have important effects on the solubility of <span>d</span>-psicose. The thermodynamic properties of the mixing process were calculated according to the NRTL equation, which shows that the mixing process is spontaneous and entropy-driven.</p>","PeriodicalId":42,"journal":{"name":"Journal of Chemical & Engineering Data","volume":"69 9","pages":"3217–3225 3217–3225"},"PeriodicalIF":2.0000,"publicationDate":"2024-08-21","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.4c00300","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}
引用次数: 0
Abstract
The solubility of d-psicose in 15 pure solvents, including methanol, ethanol, n-propanol, isopropanol, n-butanol, 2-butanol, n-amyl alcohol, n-hexyl alcohol, acetonitrile, ethyl formate, methyl acetate, ethyl acetate, butyl acetate, acetone, and 2-butanone, was determined by the gravimetric method in the temperature range of 283.15–323.15 K. The solubility of d-psicose was the highest in methanol and the lowest in acetonitrile. At the temperature of 298.15 K, the solubility of d-psicose in alcohol solvents is as follows: methanol > ethanol > isopropanol > n-propanol >2- butanol > n-butanol > n-amyl alcohol > n-hexyl alcohol. The solubility in the esters is as follows: ethyl acetate > ethyl formate > methyl acetate > butyl acetate. The solubility in ketone solvents is as follows: acetone >2-butanone. The modified Apelblat model, λh model, nonrandom two-liquid (NRTL) model, and Van’t Hoff model were used to analyze the solubility data of d-psicose in 15 pure solvents. The solvent effect of d-psicose in the measured solvent was investigated by KAT-LSER model. The results show that hydrogen bond acidity and Hildebrand solubility parameters have important effects on the solubility of d-psicose. The thermodynamic properties of the mixing process were calculated according to the NRTL equation, which shows that the mixing process is spontaneous and entropy-driven.
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.