经典密度功能理论 研究甲醇-n- (n-hexane,n-heptane,和n-octane) 混合物的液体-液体界面特性
Jiarong Sang1, Guangxia Jin1, Feng Wei1
1School of Biological and Chemical Engineering, NingboTech University, Ningbo 315100, China.
The journal of physical chemistry. B
|March 12, 2026
概括
我们使用密度函数理论准确预测甲醇-混合物的液体-液体界面张力和结构. 最好的模型专注于批量数据,而不是蒸汽-液体数据,以获得最佳的液体-液体分离预测.
科学领域:
- 物理化学 物理化学
- 热力学是一种热力学.
- 分离科学 分离科学
背景情况:
- 液体-液体界面张力 (LL-IFT) 和纳米级界面结构对于基于提取的分离过程至关重要.
- 准确预测这些属性对于设计高效的分离技术至关重要.
研究的目的:
- 应用基于扰乱链统计关联流体理论 (PC-SAFT) 的经典密度函数理论 (cDFT) 来预测LL-IFT和界面结构.
- 评估不同的PC-SAFT参数集和非局部关联函数,用于建模甲醇-混合物.
主要方法:
- 使用基于PC-SAFT的cDFT来模拟甲醇-n-alkane (n-hexane, n-heptane, n-octane) 混合物.
- 系统地评估了四个PC-SAFT参数集和三个关联函数 (aFMT,aWDA,iSAFT) 的六种组合.
- 将模型预测与实验LL-IFT数据进行比较,并分析了界面密度和结合配置文件.
主要成果:
- 针对批量数据优化的PC-SAFT参数集在预测LL-IFT方面超过了包括蒸汽-液体界面张力 (VL-IFT) 在内的参数集.
- iSAFT和aWDA的函数与实验LL-IFT有很好的一致性,而aFMT高估了值.
- 识别了单调密度和具有特征交叉点的键形状.
结论:
- 该cDFT框架,特别是具有iSAFT或aWDA函数和批量优化的PC-SAFT参数,准确地复制了甲醇-混合物的LL-IFT.
- 该研究提供了对纳米级接口结构的见解,有助于优化分离过程.
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