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"Exposure to particulate matter (PM2.5) and volatile organic compounds (VOCs), and self-reported health symptoms among fish smokers: A case study in the Western Region of Ghana"    Next AbstractAnts prefer the option they are trained to first »

SAR QSAR Environ Res


Title:A general structure-property relationship to predict the enthalpy of vaporisation at ambient temperatures
Author(s):Oberg T;
Address:"Department of Biology and Environmental Science, University of Kalmar, SE-391 82 Kalmar, Sweden. tomas.oberg@hik.se"
Journal Title:SAR QSAR Environ Res
Year:2007
Volume:18
Issue:1-Feb
Page Number:127 - 139
DOI: 10.1080/10629360601054289
ISSN/ISBN:1062-936X (Print) 1026-776X (Linking)
Abstract:"The vapour pressure is the most important property of an anthropogenic organic compound in determining its partitioning between the atmosphere and the other environmental media. The enthalpy of vaporisation quantifies the temperature dependence of the vapour pressure and its value around 298 K is needed for environmental modelling. The enthalpy of vaporisation can be determined by different experimental methods, but estimation methods are needed to extend the current database and several approaches are available from the literature. However, these methods have limitations, such as a need for other experimental results as input data, a limited applicability domain, a lack of domain definition, and a lack of predictive validation. Here we have attempted to develop a quantitative structure-property relationship (QSPR) that has general applicability and is thoroughly validated. Enthalpies of vaporisation at 298 K were collected from the literature for 1835 pure compounds. The three-dimensional (3D) structures were optimised and each compound was described by a set of computationally derived descriptors. The compounds were randomly assigned into a calibration set and a prediction set. Partial least squares regression (PLSR) was used to estimate a low-dimensional QSPR model with 12 latent variables. The predictive performance of this model, within the domain of application, was estimated at n=560, q2Ext=0.968 and s=0.028 (log transformed values). The QSPR model was subsequently applied to a database of 100,000+ structures, after a similar 3D optimisation and descriptor generation. Reliable predictions can be reported for compounds within the previously defined applicability domain"
Keywords:"Environmental Pollutants/*chemistry *Models, Chemical Molecular Structure Multivariate Analysis Organic Chemicals/chemistry Pressure Structure-Activity Relationship *Temperature *Thermodynamics Volatilization;"
Notes:"MedlineOberg, T eng Validation Study England 2007/03/17 SAR QSAR Environ Res. 2007 Jan-Mar; 18(1-2):127-39. doi: 10.1080/10629360601054289"

 
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 01-07-2024