Prediction of melting points for 1,3-disubstituent imidazolium ionic liquids

Chao Qun Yan, Hui Wan, Guo Feng Guan

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Quantitative structure-activity relationship (QSAR) was used to predict the melting points of two kinds of imidazolium ionic liquids. Using a genetic algorithm a three-parameter model with R2 =0.89 was set up for 16 imidazolium tetrafluoroborates and a four-parameter model with R2 =0.85 was developed for 22 imidazolium hexafluorophosphates. Internal reliability validation was performed using a leave-one-out approach with R 2=0.82 for the model of imidazolium tetrafluoroborates and R 2 =0.77 for the model of imidazolium hexafluorophosphates. To validate predictive abilities of models an external validation was performed for test sets where the mean absolute deviation were 11.43 and 7.78 K, respectively. These values are better than the values found in the literature. The proposed models can be used to predict melting points of imidazolium ionic liquids.

Original languageEnglish
Pages (from-to)2198-2202
Number of pages5
JournalWuli Huaxue Xuebao/ Acta Physico - Chimica Sinica
Volume24
Issue number12
StatePublished - Dec 2008

Keywords

  • Genetic algorithm
  • Imidazolium ionic liquids
  • Melting point
  • QSAR

Fingerprint

Dive into the research topics of 'Prediction of melting points for 1,3-disubstituent imidazolium ionic liquids'. Together they form a unique fingerprint.

Cite this