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 AbstractFermentation of three varieties of mango juices with a mixture of Saccharomyces cerevisiae and Williopsis saturnus var. mrakii    Next Abstract[Anthropogenic VOC emission inventory and contribution from industrial sources in Ningbo] »

Chemosphere


Title:Development of a model for predicting reaction rate constants of organic chemicals with ozone at different temperatures
Author(s):Li X; Zhao W; Li J; Jiang J; Chen J; Chen J;
Address:"Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), School of Environmental Science and Technology, Dalian University of Technology, Linggong Road 2, Dalian 116024, China. lixuehua@dlut.edu.cn"
Journal Title:Chemosphere
Year:2013
Volume:20130416
Issue:8
Page Number:1029 - 1034
DOI: 10.1016/j.chemosphere.2013.03.040
ISSN/ISBN:1879-1298 (Electronic) 0045-6535 (Linking)
Abstract:"To assess the persistence and fate of volatile organic compounds in the troposphere, the rate constants for the reaction with ozone (kO3) are needed. As kO3 values are only available for hundreds of compounds, and experimental determination of kO3 is costly and time-consuming, it is of importance to develop predictive models on kO3. In this study, a total of 379 logkO3 values at different temperatures were used to develop and validate a model for the prediction of kO3, based on quantum chemical descriptors, Dragon descriptors and structural fragments. Molecular descriptors were screened by stepwise multiple linear regression, and the model was constructed by partial least-squares regression. The cross validation coefficient QCUM(2) of the model is 0.836, and the external validation coefficient Qext(2) is 0.811, indicating that the model has high robustness and good predictive performance. The most significant descriptor explaining logkO3 is the BELm2 descriptor with connectivity information weighted atomic masses. kO3 increases with increasing BELm2, and decreases with increasing ionization potential. The applicability domain of the proposed model was visualized by the Williams plot. The developed model can be used to predict kO3 at different temperatures for a wide range of organic chemicals, including alkenes, cycloalkenes, haloalkenes, alkynes, oxygen-containing compounds, nitrogen-containing compounds (except primary amines) and aromatic compounds"
Keywords:"Air Pollutants/*chemistry Environmental Monitoring/*methods Kinetics Least-Squares Analysis Models, Theoretical Organic Chemicals/*chemistry Ozone/*chemistry *Quantitative Structure-Activity Relationship Temperature Ozone Partial least-squares (PLSs) Quan;"
Notes:"MedlineLi, Xuehua Zhao, Wenxing Li, Jing Jiang, Jingqiu Chen, Jianji Chen, Jingwen eng Evaluation Study Research Support, Non-U.S. Gov't England 2013/04/23 Chemosphere. 2013 Aug; 92(8):1029-34. doi: 10.1016/j.chemosphere.2013.03.040. Epub 2013 Apr 16"

 
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 18-06-2024