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

IF 2.1 3区 工程技术 Q3 CHEMISTRY, MULTIDISCIPLINARY
Yunlu Li*,  and , Sha Bai, 
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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.

Abstract Image

1,2-二氟-4,5-二硝基苯在16种纯溶剂中293.15 ~ 333.1 5k溶解度的测定及其相关性
1,2-二氟-4,5-二硝基苯(DFDNB)作为不敏感熔铸炸药的重要载体,其纯度直接影响其性能。然而,目前还没有关于DFDNB溶解度的报道。考虑到溶解度数据对其纯化过程的重要性,本研究采用激光动态方法系统地测定了DFDNB在293.15-333.15 K温度范围内16种纯溶剂中的溶解度。为了扩大数据的适用范围,实验数据采用Apelblat方程、Yaws模型、van 't Hoff方程、多项式经验方程和非随机双液(NRTL)模型进行关联。拟合结果表明,各模型均具有较好的精度,平均R2值大于0.99,均方根偏差(RMSD)接近于零。各模型的RMSD排序为:van 't Hoff方程(0.0130)>; NRTL模型(0.0071)>; Apelblat方程(0.0041)>; Yaws模型(0.0039)>;多项式经验方程(0.0019),R2的阶数为:多项式经验方程(0.9997)>; Apelblat方程(0.9993)= Yaws模型(0.9993)>; NRTL方程(0.9971)> van 't Hoff方程(0.9949)。综合RMSD和R2评价指标,多项式经验方程拟合效果最好。本研究为DFDNB的提纯工艺优化、结晶条件筛选及工业应用提供了重要的基础溶解度数据。
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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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