Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous Abstract"Impact of drying techniques, seasonal variation and organic growing on flavor compounds profiles in two Italian tomato varieties"    Next AbstractThe bite of the honeybee: 2-heptanone secreted from honeybee mandibles during a bite acts as a local anaesthetic in insects and mammals »

SAR QSAR Environ Res


Title:Externally validated QSPR modelling of VOC tropospheric oxidation by NO3 radicals
Author(s):Papa E; Gramatica P;
Address:"QSAR Research Unit in Environmental Chemistry and Ecotoxicology, Department of Structural and Functional Biology, University of Insubria, Varese, Italy"
Journal Title:SAR QSAR Environ Res
Year:2008
Volume:19
Issue:7-Aug
Page Number:655 - 668
DOI: 10.1080/10629360802550697
ISSN/ISBN:1029-046X (Electronic) 1026-776X (Linking)
Abstract:"The troposphere is the principal recipient of volatile organic chemicals (VOCs) of both anthropogenic and biogenic origin. The persistence of these compounds in the troposphere is an important factor for the evaluation of their fate, and the possible negative effects to the environment and human health. In this study, the tropospheric lifetime of 166 VOCs, in terms of night-time degradation rates with nitrate radical (NO(3)), was modelled by the quantitative structure-property relationships (QSPR) approach. The multiple linear regression method was applied, in combination with the genetic algorithm-variable subset selection procedure, to a variety of theoretical molecular descriptors, calculated by the DRAGON software. The models were developed according to the OECD principles for regulatory acceptance of QSARs, with particular attention to external validation and applicability domain (AD). The external validation was performed on an unbiased external test set or by splitting the available data using self-organized maps or the random by response approach. The best QSPR models presented in this study showed good internal (range of Q(loo)(2): 89-92%) as well as external predictivity (range of Q(ext)(2): 75-89%). The AD of the models was analysed by the leverage approach, and was represented graphically in the Williams graph"
Keywords:"Atmosphere/*chemistry Environmental Health/*methods Half-Life *Models, Chemical Nitrates/*metabolism Oxidation-Reduction Quantitative Structure-Activity Relationship Volatile Organic Compounds/*metabolism;"
Notes:"MedlinePapa, E Gramatica, P eng England 2008/12/09 SAR QSAR Environ Res. 2008; 19(7-8):655-68. doi: 10.1080/10629360802550697"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 29-06-2024