首页> 外文会议>International Workshop on Quantitative Structure-Activity Relationships in Environmental Sciences >Physicochemical Descriptors for Developmentof Aquatic Toxicity QSARs for Surfactants
【24h】

Physicochemical Descriptors for Developmentof Aquatic Toxicity QSARs for Surfactants

机译:表面活性剂的水生毒性QSARS的物理化学描述符

获取原文

摘要

The development of quantitative structure-activity relationships (QSARs) for theaquatic toxicity of surfactants is limited by the use of chemical descriptors based solely on hy-drophobicity. The premise of this investigation is that surfactant toxicity is best predicted fromparameters that describe the surface-active nature of the class rather than by conventional par-titioning. The application of literature values for surface activity parameters is not appropriatein this case. Surfactant behavior is highly dependent on water composition, and publishedphysical chemical values are typically measured in systems that differ significantly from eithernatural or laboratory waters used in toxicity testing. To rectify this, a consistent dataset has beengenerated where both the physicochemical and biological measurements are obtained undersimilar conditions using well-characterized and purified surfactant homologues. Critical micelleconcentration (CMC), pC20, and surface excess concentration parameters, derived from concen-tration dependent air/water surface tension data, are evaluated for their ability to predict theaquatic toxicity of nonionic and anionic surfactants. The aqueous phase molar surfactant con-centration required to lower surface tension 20 mN/m (pC20) reflects the relative tendency ofthe surfactants to adsorb at the nonpolar, uncharged air/water interface. Consequently, thesedata provide a reasonable estimate of surfactant hydrophobicity but cannot be used to predictspecific interactions with biological interfaces. Incorporation of additional terms, such as thecross-sectional area of the surfactant at the interface (Amin), increases the degree of correlationbetween the physical and biological datasets.
机译:通过仅基于Hy-Dropophicity的化学描述符的使用,对表面活性剂的毒性的定量结构 - 活性关系(QSAR)的发展受到限制。本研究的前提是,表面活性剂毒性最佳地预测,描述了类的表面活跃性,而不是通过传统的解析。在这种情况下,表面活动参数的文献值的应用是不合适的。表面活性剂行为高度依赖于水组合物,并且通常在毒性测试中使用的模仿或实验室水域显着不同的系统中测量出版物的化学物质。为了纠正这一点,在使用良好特征和纯化的表面活性剂同源物的情况下获得了物理化学和生物学测量的一致性数据集。临界胶束浓缩(CMC),PC20和表面过量浓度参数,来自熵依赖性空气/水表面张力数据,用于预测非离子和阴离子表面活性剂的毒性的能力。降低表面张力20mN / m(PC20)所需的水相摩尔表面活性剂Con-inciedration反映了表面活性剂在非极性无充电空气/水界面上吸附的相对趋势。因此,表皮数据提供了表面活性剂疏水性的合理估计,但不能用于预测与生物界面的特异性相互作用。掺入附加术语,例如接口(Amin)的表面活性剂的Checross截面区域,增加了物理和生物数据集的相关程度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号