{"title":"Determination and Correlation of Solubility of 1,2-Difluoro-4,5-dinitrobenzene in 16 Pure Solvents at Temperatures Ranging from 293.15 to 333.1 5 K","authors":"Yunlu Li*, and , Sha Bai, ","doi":"10.1021/acs.jced.5c00462","DOIUrl":null,"url":null,"abstract":"<p >The purity of 1,2-difluoro-4,5-dinitrobenzene (DFDNB), as an important carrier for insensitive melt cast explosives, directly affects its performance. However, there are currently no reports on the solubility of DFDNB. Given the importance of solubility data for its purification process, this study used a laser dynamic method to systematically determine the solubility of DFDNB in 16 pure solvents within a temperature range of 293.15–333.15 K. To expand the application scope of the data, the experimental data were correlated using the Apelblat equation, Yaws model, van’t Hoff equation, polynomial empirical equation, and nonrandom two-liquid (NRTL) model. The fitting results indicate that all models exhibit good accuracy, with an average <i>R</i><sup>2</sup> value greater than 0.99 and root-mean-square deviation (RMSD) close to zero. The RMSD ranking of each model is van’t Hoff eq (0.0130) > NRTL model (0.0071) > Apelblat equation (0.0041) > Yaws model (0.0039) > polynomial empirical eq (0.0019), and the order of <i>R</i><sup>2</sup> is polynomial empirical equation (0.9997) > Apelblat equation (0.9993) = Yaws model (0.9993) > NRTL equation (0.9971) > van’t Hoff equation (0.9949). Based on the comprehensive RMSD and <i>R</i><sup>2</sup> evaluation indicators, the polynomial empirical equation shows the best fitting effect. This study provides important basic solubility data for the optimization of the purification process, screening of crystallization conditions, and industrial application of DFDNB.</p>","PeriodicalId":42,"journal":{"name":"Journal of Chemical & Engineering Data","volume":"70 10","pages":"4315–4330"},"PeriodicalIF":2.1000,"publicationDate":"2025-09-30","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.5c00462","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 purity of 1,2-difluoro-4,5-dinitrobenzene (DFDNB), as an important carrier for insensitive melt cast explosives, directly affects its performance. However, there are currently no reports on the solubility of DFDNB. Given the importance of solubility data for its purification process, this study used a laser dynamic method to systematically determine the solubility of DFDNB in 16 pure solvents within a temperature range of 293.15–333.15 K. To expand the application scope of the data, the experimental data were correlated using the Apelblat equation, Yaws model, van’t Hoff equation, polynomial empirical equation, and nonrandom two-liquid (NRTL) model. The fitting results indicate that all models exhibit good accuracy, with an average R2 value greater than 0.99 and root-mean-square deviation (RMSD) close to zero. The RMSD ranking of each model is van’t Hoff eq (0.0130) > NRTL model (0.0071) > Apelblat equation (0.0041) > Yaws model (0.0039) > polynomial empirical eq (0.0019), and the order of R2 is polynomial empirical equation (0.9997) > Apelblat equation (0.9993) = Yaws model (0.9993) > NRTL equation (0.9971) > van’t Hoff equation (0.9949). Based on the comprehensive RMSD and R2 evaluation indicators, the polynomial empirical equation shows the best fitting effect. This study provides important basic solubility data for the optimization of the purification process, screening of crystallization conditions, and industrial application of DFDNB.
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.