Title of article :
Quantum chemical modelling of soil sorption coefficients: Multiple linear regression models
Author/Authors :
Martin Müller، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 1997
Pages :
13
From page :
365
To page :
377
Abstract :
Soil sorption coefficients for nonpolar compounds easily can be modelled with log POW or with connectivity indices. This is not the case for polar compounds: for polar substances either compound class dependent models or models using correction factors based on substructures are described in the literature. In the present study a systematic search on multiple linear regression models using log POW and several quantum chemical descriptors was performed to model the log KOC for a set of 66 substances from different compound classes (pesticides and other nonpolar and polar chemicals. It is shown that the soil sorption coefficient KOC can be modelled with one equation for the whole data set.
Journal title :
Chemosphere
Serial Year :
1997
Journal title :
Chemosphere
Record number :
723214
Link To Document :
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