Literature DB >> 20459074

A QSPR model for the prediction of the "fish-tail" temperature of C(i)E4/water/polar hydrocarbon oil systems.

François Bouton1, Morgan Durand, Véronique Nardello-Rataj, Andras P Borosy, Christian Quellet, Jean-Marie Aubry.   

Abstract

The fish-tail temperatures denoted as T* have been determined or collected for 85 ternary systems based on three tetraethylene glycol monoalkyl ethers C(i)E(4) (i = 6, 8, 10), water, and 43 hydrocarbon oils of various hydrophobicities. Fourteen fragrant mono- and sesquiterpenes in addition to 29 model oils, including n-alkanes, cyclohexenes, cyclohexanes, and alkylbenzenes, were investigated in order to establish a QSPR model for the prediction of T* as a function of the chemical structure of the oils. Only two molecular descriptors related to branching and molecular size (Kier A3) and polarizability (average negative softness) of the molecules are necessary to model and predict the values of T* and EACN (equivalent alkane carbon number) of unsaturated and/or cyclic and/or branched hydrocarbons exhibiting an EACN ranging from -4 and +35. Results are discussed in terms of evolution of the effective packing parameter of the surfactants according to temperature and oil penetration into the interfacial film.

Entities:  

Year:  2010        PMID: 20459074     DOI: 10.1021/la904836m

Source DB:  PubMed          Journal:  Langmuir        ISSN: 0743-7463            Impact factor:   3.882


  1 in total

1.  Quantitative structure-property relationship (QSPR) modeling of drug-loaded polymeric micelles via genetic function approximation.

Authors:  Wensheng Wu; Canyang Zhang; Wenjing Lin; Quan Chen; Xindong Guo; Yu Qian; Lijuan Zhang
Journal:  PLoS One       Date:  2015-03-17       Impact factor: 3.240

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.