Quantitative Structure-Activity Relationship Modeling of Biofiltration Removal
A model for predicting biofiltration efficiency is developed and evaluated in this study. This model, based on quantitative structure-activity relationships (QSARs), relates the biofiltration maximum removal capacity of a pollutant to its physicochemical intrinsic descriptors. After a preliminary ex...
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| Veröffentlicht in: | Journal of environmental engineering (New York, N.Y.) N.Y.), 2002-10, Vol.128 (10), p.953-959 |
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| container_issue | 10 |
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| container_title | Journal of environmental engineering (New York, N.Y.) |
| container_volume | 128 |
| creator | Aizpuru, A Malhautier, L Fanlo, J. L |
| description | A model for predicting biofiltration efficiency is developed and evaluated in this study. This model, based on quantitative structure-activity relationships (QSARs), relates the biofiltration maximum removal capacity of a pollutant to its physicochemical intrinsic descriptors. After a preliminary experimental determination of biofilter removal, for 11 volatile organic compounds, collected data allowed calibration of the model parameters. A screening of different possible molecule describing parameters determined that three of them play a significant role in biofiltration: the Henry's law constant, the octanol-water partition coefficient, and the first-order connectivity index. The use of these parameters for evaluating biofiltration removal by a QSAR modeling approach allowed good agreement between experimental and model values, while keeping an excellent statistical significance. |
| doi_str_mv | 10.1061/(ASCE)0733-9372(2002)128:10(953) |
| format | Article |
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The use of these parameters for evaluating biofiltration removal by a QSAR modeling approach allowed good agreement between experimental and model values, while keeping an excellent statistical significance.</description><subject>Applied sciences</subject><subject>Atmospheric pollution</subject><subject>Biological and medical sciences</subject><subject>Biological treatment of gaseous effluents</subject><subject>Biotechnology</subject><subject>Environment and pollution</subject><subject>Exact sciences and technology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General processes of purification and dust removal</subject><subject>Industrial applications and implications. 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Psychology</topic><topic>General processes of purification and dust removal</topic><topic>Industrial applications and implications. Economical aspects</topic><topic>Pollution</topic><topic>Prevention and purification methods</topic><topic>TECHNICAL PAPERS</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aizpuru, A</creatorcontrib><creatorcontrib>Malhautier, L</creatorcontrib><creatorcontrib>Fanlo, J. L</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Journal of environmental engineering (New York, N.Y.)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aizpuru, A</au><au>Malhautier, L</au><au>Fanlo, J. L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantitative Structure-Activity Relationship Modeling of Biofiltration Removal</atitle><jtitle>Journal of environmental engineering (New York, N.Y.)</jtitle><date>2002-10-01</date><risdate>2002</risdate><volume>128</volume><issue>10</issue><spage>953</spage><epage>959</epage><pages>953-959</pages><issn>0733-9372</issn><eissn>1943-7870</eissn><coden>JOEEDU</coden><abstract>A model for predicting biofiltration efficiency is developed and evaluated in this study. This model, based on quantitative structure-activity relationships (QSARs), relates the biofiltration maximum removal capacity of a pollutant to its physicochemical intrinsic descriptors. After a preliminary experimental determination of biofilter removal, for 11 volatile organic compounds, collected data allowed calibration of the model parameters. 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| ispartof | Journal of environmental engineering (New York, N.Y.), 2002-10, Vol.128 (10), p.953-959 |
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| source | American Society of Civil Engineers:NESLI2:Journals:2014; EBSCOhost Business Source Complete |
| subjects | Applied sciences Atmospheric pollution Biological and medical sciences Biological treatment of gaseous effluents Biotechnology Environment and pollution Exact sciences and technology Fundamental and applied biological sciences. Psychology General processes of purification and dust removal Industrial applications and implications. Economical aspects Pollution Prevention and purification methods TECHNICAL PAPERS |
| title | Quantitative Structure-Activity Relationship Modeling of Biofiltration Removal |
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