Screening of pesticides for environmental partitioning tendency

被引:51
作者
Gramatica, P
Di Guardo, A
机构
[1] Univ Insubria, QSAR Res Unit, Dept Struct & Funct Biol, I-21100 Varese, Italy
[2] Univ Insubria, Environm Res Grp, Dept Struct & Funct Biol, I-21100 Varese, Italy
关键词
physico-chemical properties; ranking; Principal Component Analysis; molecular descriptors; Quantitative Structure-Property Relationships;
D O I
10.1016/S0045-6535(02)00007-3
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The partitioning tendency of chemicals, in this study pesticides in particular, into different environmental compartments depends mainly on the concurrent relevance of the physico-chemical properties of the chemical itself. To rank the pesticides according to their distribution tendencies in the different environmental compartments we propose a multivariate approach: the combination, by principal component analysis, of those physico-chemical properties like organic carbon partition coefficient (K-oc), n-octanol/water partition coefficient (K-ow), water solubility (S-w), vapour pressure and Henry's law constant (H) that are more relevant to the determination of environmental partitioning. The resultant macrovariables, the PCl and PC2 scores here named leaching index (LIN) and volatality index (VIN), are proposed as preliminary environmental partitioning indexes in different media. These two indexes are modeled by theoretical molecular descriptors with satisfactory predictive power. Such an approach allows a rapid pre-determination and screening of the environmental distribution of pesticides starting only from the molecular structure of the pesticide, without any a priori knowledge of the physico-chemical properties. (C) 2002 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:947 / 956
页数:10
相关论文
共 26 条
[1]  
Altenburger R., 1993, Science of the Total Environment, P1633, DOI 10.1016/S0048-9697(05)80166-4
[2]  
Atkinson A. C., 1985, Plots, transformations, and regression: An introduction to graphical methods of diagnostic regression analysis, P282
[3]  
*AUT INC, 1995, HYPERCHEM
[4]  
Consonni R, 2000, HDB MOL DESCRIPTORS, P667
[5]  
DEVILLERS J, 2000, TOPOLOGICAL INDICES, P824
[6]   Classification of organic solvents and modelling of their physico-chemical properties by chemometric methods using different sets of molecular descriptors [J].
Gramatica, P ;
Navas, N ;
Todeschini, R .
TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 1999, 18 (07) :461-471
[7]   Modelling and prediction of soil sorption coefficients of non-ionic organic pesticides by molecular descriptors [J].
Gramatica, P ;
Corradi, M ;
Consonni, V .
CHEMOSPHERE, 2000, 41 (05) :763-777
[8]  
GUSTAFSON DI, 1989, ENVIRON TOXICOL CHEM, V8, P339, DOI 10.1897/1552-8618(1989)8[339:GUSASM]2.0.CO
[9]  
2
[10]   Selection of priority properties to assess environmental hazard of pesticides [J].
Halfon, E ;
Galassi, S ;
Bruggemann, R ;
Provini, A .
CHEMOSPHERE, 1996, 33 (08) :1543-1562