Linear QSPRs for predicting pure compound properties in homologous series

Neima Brauner, Georgi St Cholakov, Olaf Kahrs, Roumiana P. Stateva, Mordechai Shacham

Research output: Contribution to journalArticlepeer-review

20 Scopus citations


Linear QSPRs, containing 1 through 4 descriptors, are developed for predicting the normal boiling temperature, melting point temperature, and critical properties for the n-alkane, 1-alkene, n-alkylbenzene, 1-alcohol, and alkanoic monocarboxylic acid homologous series. It has been shown that property values for which experimental data are available can be predicted within experimental error level (with very few and very small exceptions), irrespective of whether interpolation or extrapolation is involved. Property values for which predicted literature data are available can be matched within the reported "reliability" level, even when extrapolation is carried out from very small training sets containing experimental data. Thus, the linear QSPRs developed represent well the nonlinear variation of the particular property with the carbon number, and increase the confidence in the values predicted when extrapolation is involved.

Original languageEnglish
Pages (from-to)978-990
Number of pages13
JournalAICHE Journal
Issue number4
StatePublished - 1 Apr 2008


  • Homologous series
  • Molecular descriptors
  • Property prediction
  • QSPR

ASJC Scopus subject areas

  • Biotechnology
  • Environmental Engineering
  • General Chemical Engineering


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