从最佳可用的物理化学参数减少不确定性的策略 用于模拟跨多媒体环境的新型有机酸盐
Changyue Xing1,2, Jianxin Ge1,2, Rongcan Chen1,2
1School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
预测新型有机酸盐 (OPEs) 的物理化学性质对于环境风险评估至关重要. 本研究确定了最佳的in silico工具和策略,以提高这些必要的环境命运预测的准确性.
科学领域:
- 环境化学环境化学
- 计算化学计算化学
- 毒理学 毒理学 毒理学
背景情况:
- 有机酸盐 (OPEs) 广泛使用,但具有环境和健康风险.
- 关于物理化学性质的有限数据阻碍了对新型OPE的准确环境命运和风险评估.
- 准确预测水溶性和蒸汽压力等属性是必不可少的.
研究的目的:
- 预测46个新型OPE的关键物理化学性质 (水溶性,蒸汽压力,分割系数).
- 确定最佳的in silico工具,并根据分子量 (MW) 开发基于分子量 (MW) 的预测策略.
- 提高OPE环境命运,暴露和风险评估的可靠性.
主要方法:
- 使用多个in silico工具 (COSMOtherm,SPARC,EPI套件,OPERA) 来预测25°C的性能.
- 根据其分子重量 (MW) 和结构复杂性,开发了针对OPE量身定制的预测策略.
- 使用已知的阻燃剂验证的预测方法.
主要成果:
- 预测差异随着MW和结构复杂度的增加而增加.
- 推不同的OPE类型和MW范围的特定工具 (COSMOtherm,SPARC).
- 不当的软件选择可能会导致显著的偏差 (在分布方面高达83%,在持久性方面高达350%).
结论:
- 该研究为新型OPE提供了可靠的数据集和预测策略.
- 准确的物理化学性质预测对于理解OPE环境行为至关重要.
- 这项工作有助于评估与OPE和其他新出现的污染物相关的风险.
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