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On the use of elect...
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Larsson, MalinUmeå universitet,Kemiska institutionen
(author)
On the use of electronic descriptors for QSAR modelling of PCDDs, PCDFs and dioxin-like PCBs£ :
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Taylor & Francis Group,2013
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Numbers
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LIBRIS-ID:oai:DiVA.org:umu-71652
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https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-71652URI
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https://doi.org/10.1080/1062936X.2013.791719DOI
Supplementary language notes
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Language:English
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Summary in:English
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Subject category:ref swepub-contenttype
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Subject category:art swepub-publicationtype
Notes
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Special issue: 15th International Workshop on Quantitative Structure-Activity Relationships in Environmental and Health Sciences (QSAR2012).
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The electronic properties of 29 polychlorinated dibenzo-p-dioxins and dibenzofurans and dioxin-like polychlorinated biphenyls that have been included in the toxic equivalency factor system have been investigated and used to derive quantum mechanical (QM) chemical descriptors for QSAR modelling. Their utility in this context was investigated alongside descriptors based on ultraviolet absorption data and traditional 2D descriptors including log Kow, polarizability, molecular surface properties, van der Waals volume and selected connectivity indices. The QM descriptors were calculated using the semi-empirical AM1 method and the density functional theory method B3-LYP/6-31G(∗∗). Atom-specific and molecular quantum chemical descriptors were calculated to compare the electronic properties of dioxin-like compounds regardless of their chemical class, with particular emphasis on the lateral positions. Multivariate analysis revealed differences between the chemical classes in terms of their electronic properties and also highlighted differences between congeners. The results obtained demonstrated the importance of considering molecular orbital energies, but also indicated that the ratios of the coefficients of the highest occupied molecular orbital (HOMO) and the lowest unoccupied molecular orbital (LUMO) at the lateral carbons were important. In addition, the digitalized UV spectra contained chemical information that provided crucial insights into dioxin-like activity.
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Kumar Mishra, BrijeshUmeå universitet,Kemiska institutionen(Swepub:umu)brmi0002
(author)
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Tysklind, MatsUmeå universitet,Kemiska institutionen(Swepub:umu)maty0001
(author)
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Linusson, AnnaUmeå universitet,Kemiska institutionen(Swepub:umu)analin99
(author)
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Andersson, Patrik L.Umeå universitet,Kemiska institutionen(Swepub:umu)paan0001
(author)
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Umeå universitetKemiska institutionen
(creator_code:org_t)
Related titles
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In:SAR and QSAR in environmental research (Print): Taylor & Francis Group24:6, s. 461-4791062-936X1029-046X
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