Literature DB >> 17050188

A molecular structure based model for predicting surface tension of organic compounds.

E J Delgado1, G A Diaz.   

Abstract

A Quantitative Structure-Property Relationship (QSPR) model for the prediction of surface tension of organic compounds was derived from a data set of 320 chemicals including N, O, F, Cl, Br, and/or S atoms and covering a range of about 14-45 dyn cm-1. The model, only involving six molecular descriptors obtained solely from the chemical structures, yielded an r2 of 0.96. Its predictive capability was estimated from an external test set containing 55 structures not considered in the training set (r2 = 0.94). It was shown that the selected molecular descriptors presented a physical meaning corresponding to the different intermolecular interactions occurring in the bulk solution. The model is applicable to a wider variety of compounds, includes less parameters and correlates better than other QSPR models reported in literature.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 17050188     DOI: 10.1080/10629360600933913

Source DB:  PubMed          Journal:  SAR QSAR Environ Res        ISSN: 1026-776X            Impact factor:   3.000


  2 in total

1.  Pressure-Surface Tension-Temperature Equation of State for n-Alkanes.

Authors:  A Mulero; I Cachadiña; L F Cardona; J O Valderrama
Journal:  Ind Eng Chem Res       Date:  2022-02-23       Impact factor: 3.720

2.  Surface Tension of Liquid Organic Acids: An Artificial Neural Network Model.

Authors:  Mariano Pierantozzi; Ángel Mulero; Isidro Cachadiña
Journal:  Molecules       Date:  2021-03-15       Impact factor: 4.411

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.