一个粗粒度模型描述了在离子水相中的甲基表面活性剂的临界度
Eddy Barraud1, Christine Dalmazzone1, Aurélie Mouret1
1IFP Energies nouvelles, 1 et 4 Avenue de Bois Préau, 92852 Rueil-Malmaison, France.
Langmuir : the ACS journal of surfaces and colloids
|March 14, 2025
概括
这项研究使用散射粒子动力学模拟来预测盐水中的per-和多基物质 (PFAS) 的临界微粒度 (CMC). 这些发现为这些持续性环境污染物提供了准确的CMC数据和新的分子模型.
科学领域:
- 环境化学环境化学
- 计算化学计算化学
- 物理化学 物理化学
背景情况:
- 和多醇基物质 (PFAS) 是持久的环境污染物,其在离子溶液中的行为尚不清楚.
- 对于PFAS表面活性剂,准确的临界菌度 (CMC) 数据有限,这阻碍了环境风险评估.
- 现有的充电型 perfluorinated 化合物的分子模型很少.
研究的目的:
- 使用散射粒子动力学 (DPD) 模拟来确定离子水溶液中的PFAS表面活性剂的CMC.
- 开发和验证开源的分子力场,用于充电的高化合物.
- 在现实的环境盐度下为PFAS提供精确的CMC预测.
主要方法:
- 消散粒子动力学 (DPD) 模拟被用于模拟 PFAS 在离子溶液中的行为.
- 开发了开源的分子力场,结合了DFT衍生水化自由能量和离子相互作用模型.
- 优化了疏水性相互作用,以匹配选择的表面活性剂的实验CMC值.
- 为了实验验证,使用n-nonyl硫酸盐 (SNS) 和n-dodecyl硫酸盐 (SDS) 进行了界面张力测量.
主要成果:
- DPD模拟成功预测了各种碳化合物和PFAS表面活性剂在各种盐度的CMC值.
- 开发的分子模型准确地代表了CMC变异与盐度,通过实验数据验证.
- 该研究提供了一种强大的计算方法,用于预测复杂的水性环境中的PFAS行为.
结论:
- DPD模拟提供了一种精确可靠的方法来确定离子溶液中的PFASCMC.
- 开发的开源力场增强了充电化合物的分子建模能力.
- 这项研究为PFAS表面活性剂的行为提供了宝贵的见解,有助于环境监测和修复策略.
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