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dc.contributor.authorDeeb, Omar
dc.contributor.authorKhadikar, Padmakar V.
dc.contributor.authorGoodarzi, Mohammad
dc.date.accessioned2018-09-09T07:37:42Z
dc.date.available2018-09-09T07:37:42Z
dc.date.issued2010-07-06
dc.identifier.issn1178-6302
dc.identifier.urihttps://dspace.alquds.edu/handle/20.500.12213/870
dc.description.abstractThe 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.en_US
dc.description.sponsorshipOmar Deeb acknowledges Prof. Dr. Jingwen Chen, Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology (China) for his valuable suggestions to improve the manuscript. He also acknowledges Dr. Kunal Roy, Drug Theoretics and Cheminformatics Lab, Department of Pharmaceutical Technology, Jadavpur University, Kolkata (India) for his suggestions concerning validation of the proposed models.en_US
dc.language.isoen_USen_US
dc.publisherLibertas Academicaen_US
dc.subjectBCFen_US
dc.subjectnon-ionic organic compoundsen_US
dc.subjectstructure property relationships (QSPR)en_US
dc.subjectpartial least square (PLS)en_US
dc.subjectprincipal components artificial neural networks (PC-ANN)en_US
dc.titleQSPR Modeling of Bioconcentration Factors of Nonionic Organic Compoundsen_US
dc.typeArticleen_US


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