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有机污染物的被动采样材料-水分配系数的QSAR研究
  • ISSN号:1673-5897
  • 期刊名称:《生态毒理学报》
  • 时间:0
  • 分类:X171.5[环境科学与工程—环境科学]
  • 作者机构:大连理工大学工业生态与环境工程教育部重点实验室,大连116024
  • 相关基金:国家重点基础研究发展计划(2013CB430403);国家自然科学基金(21325729,21661142001)
中文摘要:

水体中的微塑料会吸附其中的有机污染物,影响有机污染物和微塑料的环境归趋和生态毒性。研究微塑料对有机污染物的吸附行为,对于评价有机污染物和微塑料的环境赋存、迁移及生物有效性有重要意义。污染物在微塑料与水之间的平衡分配系数(Kd),是表征微塑料对有机污染物吸附能力的重要参数。实验方法难以逐个测定众多有机污染物的Kd值,有必要发展其预测模型。本研究搜集了有机污染物的线性溶解能关系(LSER)参数及Kd值,构建了可预测有机污染物在聚丙烯微塑料与海水、聚乙烯微塑料与海水、聚乙烯微塑料与淡水之间Kd值的LSER模型。模型具有良好的拟合优度(R2adj介于0.794~0.903)、稳健性(Q2LOO和Q2BOOT分别介于0.763~0.863和0.720~0.804)和预测能力(R2ext和Q2ext分别介于0.886~0.971和0.825~0.954),能够用于预测多氯联苯、多环芳烃、六氯环已烷和氯苯类有机污染物的Kd值。

英文摘要:

Organic pollutants in the aquatic environment can be sorbed by microplastics, and this sorption could affect the environmental fate and ecotoxicity of both microplastics and organic pollutants. It is of importance to investigate the sorption of organic pollutants to microplastics for assessing the environmental occurrence, migration and bioavailability of both organic pollutants and plastic debris. The equilibrium coefficient of organic pollutants partitioning between microplastics and water (Kd) indicates sorption capacity. Experimentally determination of Kd values is costly, laborious and time intensive. It is necessary to develop in silico models for predicting Kd values. In this study, the linear solvation energy relationship (LSER) molecular parameters and Ka values of organic pollutants were collected. LSER models were developed for Kd of organic pollutants partitioning between polypropylene and sea water, polyethylene and sea water, and polyethylene and fresh water. For the developed models, the adjusted determination coefficient 2 (R^2adj) range from 0.794 to 0.903; the leave-one-out cross-validated correlation coefficient Q^2 (Q^2LOO) and bootstrap method correlation coefficient Q^2(Q^2BOOT) range from 0.763 to 0.863 and from 0.720 to 0.804, respectively; the external R^2 (R^2ext) and Q^2(Q^2ext) range from 0.886 to 0.971 and from 0.825 to 0.954, respectively. Thus, the developed models have high goodness of fit, robustness and predictive ability, and can be used to predict Kd values of organic chemicals including polychlorinated biphenyls, polycyclic aromatic hydrocarbons, hexachlorocyclohexanes and chlorobenzenes.

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期刊信息
  • 《生态毒理学报》
  • 北大核心期刊(2011版)
  • 主管单位:中国科学院
  • 主办单位:中国科学院生态环境研究中心
  • 主编:王子健
  • 地址:北京市海淀区双清路18号北京2871信箱
  • 邮编:100085
  • 邮箱:stdlxb@rcees.ac.cn
  • 电话:010-62941072
  • 国际标准刊号:ISSN:1673-5897
  • 国内统一刊号:ISSN:11-5470/X
  • 邮发代号:2-303
  • 获奖情况:
  • 国内外数据库收录:
  • 美国化学文摘(网络版),美国生物科学数据库,英国动物学记录,中国中国科技核心期刊,中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:4571