Skip to main content
Log in

Quantitative structure—Retention relationships (QSRR), using the optimum semi-empirical topological index, for methyl-branched alkanes produced by insects

  • Originals
  • Gas Chromatography
  • Published:
Chromatographia Aims and scope Submit manuscript

Summary

Theoretical prediction of chromatographic retention could be used as a means of identification of organic compounds separated by gas chromatography. An optimum semi-empirical topological index,l ET(opt), is proposed for prediction of the chromatographic retention of the methyl-branched alkanes produced by insects. Our previously-developed semi-empirical topological index (l ET) has been improved to make it possible to distinguish between methylalkane isomers. The new topological index is based on the length of the chain, the positions of the methyl groups, and the number of methyl groups attached to the backbone. Simple linear regression between chromatographic retention and the proposed optimum semi-empirical topological indexes, for 178 methylalkanes with nine to forty carbon atoms in the linear chain, was very satisfactory (r 2=0.9999 andSD=3.20). The good predictive quality of the model is shown by the chromatographic retention indexes predicted for an external group of 30 methylalkanes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Koutek, B.; Hoskovec, M.; Streinz, L.; Vrkocova, P.; Ruzicka, K.J. Chem. Soc. Perkin Trans 1998,2, 1351–1356.

    Google Scholar 

  2. Katritzky, A.L.; Chen K.; Maran U.; Carlson, D.A.Anal. Chem. 2000,72, 101–109.

    Article  CAS  Google Scholar 

  3. Carlson, D.A.; Bernier, U.R.; Sutton, B.D.J. Chem. Ecol. 1998,24, 1845–1865.

    Article  CAS  Google Scholar 

  4. Heinzen, V.F.H.; Yunes, R.A.J. Chromatogr. 1993,598, 243–250.

    Article  Google Scholar 

  5. Heinzen, V.F.H.; Yunes, R.A.J. Chromatogr. 1993,654, 83–89.

    Article  Google Scholar 

  6. Arruda, A.C.; Heinzen, V.F.H.; Yunes, R.A.J. Chromatogr. 1993,630, 251–256.

    Article  Google Scholar 

  7. Heinzen, V.F.H.; Yunes, R.A.J. Chromatogr. A 1996,719, 462–467.

    Article  CAS  Google Scholar 

  8. Heinzen, V.F.H.; Cechinel Filho, V.; Yunes, R.A.IL Farmaco 1999,54, 125–129.

    Article  CAS  Google Scholar 

  9. Soares, M.F.; Monache, F.D.; Heinzen, V.F.H.; Yunes, R.A.J. Braz. Chem. Soc. 1999,10, 189–196.

    Article  CAS  Google Scholar 

  10. Soares, M.F.; Boeing, C.R.; Monache, F.D.; Heinzen, V.F.H.; Yunes, R.A.Anais Assoc. Bras. Quim. 2000,49, 24–30.

    CAS  Google Scholar 

  11. Amboni, R.D.M.C.; Junkes, B.S.; Yunes, R.A.; Heinzen, V.E.F.J. Agric. Food Chem. 2000, 48, 3517–3521.

    Article  Google Scholar 

  12. Yunes, R.A.; Heinzen, V.F.H.; Cechinel Filho, V.; Lazzarotto M.;Arzneim. Forsch. Drug Res 2002,52, 125–132.

    CAS  Google Scholar 

  13. Junkes, B.S.; Amboni, R.D.M.C.; Heinzen, V.E.F.; Yunes, R.A.Chromatographia 2002,55, 75–81.

    CAS  Google Scholar 

  14. Heinzen, V.H.F.; Soares, M.F.; Yunes R.A.,J. Chromatogr. A 1999,849, 495–506.

    Article  CAS  Google Scholar 

  15. Randic, M.; Pompe, M.SAR and QSAR Environ. Res. 1999,10, 451–471.

    CAS  Google Scholar 

  16. Randic, M.Int. J. Quant. Chem.: Biol. Symp. 1994,21, 215–225.

    CAS  Google Scholar 

  17. Calixto, F.S.; Raso, A.G.Chromatographia 1981,14, 596–598.

    Article  Google Scholar 

  18. Calixto, F.S.; Raso, A.G.Chromatographia 1982,15, 521–524.

    Article  Google Scholar 

  19. Calixto, F.S.; Raso, A.G.Chromatographia 1982,15, 771–775.

    Article  Google Scholar 

  20. Bermejo, J.; Canga, J.S.J.; Gayol, O.M.; Guillén, M.D.J. Chromatogr. Sci. 1984,22, 252–255.

    CAS  Google Scholar 

  21. Macek, J.; Smolková-Keulemnsová, E.J. Chromatogr. 1985,333, 309–317.

    Article  CAS  Google Scholar 

  22. Körtvélyesi, T.; Górgényi, M.; Seres, L.Chromatographia 1995,41, 282–286.

    Google Scholar 

  23. Király, Z.; Körtvélyesi, T.; Seres, L.; Górgényi, M.Chromatogrophia 1996,42, 653–659.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Junkes, B.S., Amboni, R.D.M.C., Heinzen, V.E.F. et al. Quantitative structure—Retention relationships (QSRR), using the optimum semi-empirical topological index, for methyl-branched alkanes produced by insects. Chromatographia 55, 707–713 (2002). https://doi.org/10.1007/BF02491786

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02491786

Key Words

Navigation