华南理工大学学报(自然科学版) ›› 2007, Vol. 35 ›› Issue (6): 97-100.

• 化学化工 • 上一篇    下一篇

芳烃类化合物对水生生物急性毒性与其分子结构的定量关系

秦正龙1 蒋忠良2   

  1. 1.徐州师范 大学化学系,江苏 徐州 221116; 2. 同济大学 化学系,上海 200092
  • 收稿日期:2006-06-27 出版日期:2007-06-25 发布日期:2007-06-25
  • 通信作者: 秦正龙(1963-),男,教授,主要从事物质构效学研究. E-mail:hxxqzl@xznu.edu.cn
  • 作者简介:秦正龙(1963-),男,教授,主要从事物质构效学研究.
  • 基金资助:

    国家自然科学基金资助项目( 29971023 ) ;徐州师范大学自然科学基金重点资助项目(06XLA08)

Quantitative Relationship Between Acute Toxicities of Aromatic Compounds to Aquatic Organisms and Molecular Structures of the Compounds

Qin Zheng-longJiang Zhong-liang2   

  1. 1. Dept. of Chemistry, Xuzhou Normal Univ. , Xuzhou 221116 , Jiangsu, China;2. Dept. of Chemistry , Tongji Univ. , Shanghai 200092 , China
  • Received:2006-06-27 Online:2007-06-25 Published:2007-06-25
  • Contact: 秦正龙(1963-),男,教授,主要从事物质构效学研究. E-mail:hxxqzl@xznu.edu.cn
  • About author:秦正龙(1963-),男,教授,主要从事物质构效学研究.
  • Supported by:

    国家自然科学基金资助项目( 29971023 ) ;徐州师范大学自然科学基金重点资助项目(06XLA08)

摘要: 提出成键原子i 的生物活性点价δiA,并构建蕴含芳烃类化合物生物活性的分子连接性指数nV. 应用0V、1V,辛醇/水分配系数lg/Kow及指示参数I, 分别与芳烃类化合物对发光菌、大型蚤、呆鳞鱼等3 种水生生物的急性毒性进行关联,所得相关系数依次为0.9661 、0.9812、0.9677 ,估算结果均明显优于文献方法.对未参加回归的4 种芳烃类化合物的急性毒性进行了预测,预测值与实验值吻合较好.结果表明,所建立的QSAR 模型具有良好的稳定性和预测能力.

关键词: 芳烃类化合物, 分子连接性指数, 结构, 活性, 定量关系, 水生生物

Abstract:

Based on the bioactivity valence δiA for bonding atom i , a novel molecular connectivity index n V considering the bioactivity of aromatic compounds is proposed. The quantitative structure-activity relationships (QSAR) between the acute toxicities of aromatic compounds and the parameters including 0V, 1 V, octanoVwater partition coefficient lgKow and the indicator variable I are then investigated , It is found that the correlation coefficients for Photobαcterium phosphoreum , Daphnia magna straus and Pimephαles promelαs are respectively 0.9661 , 0.9812 and O. 9677 , and that the estimated results are all better than the results in the literatures. Furthermore , the acute toxicities of other 4 substituted aromatic compounds are predicted , and optimal results are obtained. It is thus concluded that the proposed QSAR model is of good stability and predictability.

Key words: aromatic compound, molecular connectivity index, structure, activity, quantitative relationship, aquatlc orgamsm