QSPR Modeling of Bioconcentration Factors of Nonionic Organic Compounds

The terms bioaccumulation and bioconcentration refer to the uptake and build-up of chemicals that can occur in living organisms. Experimental measurement of bioconcentration is time-consuming and expensive, and is not feasible for a large number of chemicals of potential regulatory concern. A highly...

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Main Authors: Omar Deeb (Author), Padmakar V. Khadikar (Author), Mohammad Goodarzi (Author)
Format: Book
Published: SAGE Publishing, 2010-01-01T00:00:00Z.
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100 1 0 |a Omar Deeb  |e author 
700 1 0 |a Padmakar V. Khadikar  |e author 
700 1 0 |a Mohammad Goodarzi  |e author 
245 0 0 |a QSPR Modeling of Bioconcentration Factors of Nonionic Organic Compounds 
260 |b SAGE Publishing,   |c 2010-01-01T00:00:00Z. 
500 |a 1178-6302 
500 |a 10.4137/EHI.S5168 
520 |a The terms bioaccumulation and bioconcentration refer to the uptake and build-up of chemicals that can occur in living organisms. Experimental measurement of bioconcentration is time-consuming and expensive, and is not feasible for a large number of chemicals of potential regulatory concern. A highly effective tool depending on a quantitative structure-property relationship (QSPR) can be utilized to describe the tendency of chemical concentration organisms represented by, the important ecotoxicological parameter, the logarithm of Bio Concentration Factor (log BCF) with molecular descriptors for a large set of non-ionic organic compounds. QSPR models were developed using multiple linear regression, partial least squares and neural networks analyses. Linear and non-linear QSPR models to predict log BCF of the compounds developed for the relevant descriptors. The results obtained offer good regression models having good prediction ability. The descriptors used in these models depend on the volume, connectivity, molar refractivity, surface tension and the presence of atoms accepting H-bonds. 
546 |a EN 
690 |a Environmental sciences 
690 |a GE1-350 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Environmental Health Insights, Vol 4 (2010) 
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787 0 |n https://doaj.org/toc/1178-6302 
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