Log in

Discrimination of Shirazi thyme from thymus species and antioxidant activity prediction using chemometrics and FT-IR spectroscopy

  • Original Paper
  • Published:
Journal of the Iranian Chemical Society Aims and scope Submit manuscript

Abstract

Local names are not reliable sources for identification of plants, because they differ significantly from one region to another. Apart from confusing nomenclature, the similar appearance and fragrance of Shirazi thyme and Thymus species cause misidentification. In order to prevent the adverse events in relation to the use of improper herbal products, easy-to-use quality control (QC) methodology was developed to classify these culinary plants. Fourier transform infrared (FT-IR) fingerprinting technique was applied for classification of these plants on the basis of their biochemical compositions. Powerful PLS-DA classification model with classification accuracy of 100% was obtained. For the first time in the present study, it was revealed that Shirazi thyme samples have higher antioxidant activity [average IC50 of 37.03 (µg/ml)] compared to different Thymus species [average IC50 of 148.35 (µg/ml)]. FT-IR fingerprint profiles were also used to construct a predictive model for antioxidant activity of the plants based on a reliable PLSR model. The developed PLSR model revealed that IR wavenumbers of 1000–1200, 1700, and 3200–3500 cm−1 are important for antioxidant activity prediction of the analyzed plants. The applied approach has the potential for being used in QC programs not only for fraud mitigation and detection, but also for estimation of antioxidant activity of the culinary plants.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. H. Sajed, A. Sahebkar, M. Iranshahi, J. Ethnopharmacol. 145, 686–698 (2013)

    Article  Google Scholar 

  2. F. Akrami, A. Rodríguez-Lafuente, K. Bentayeb, D. Pezo, S.R. Ghalebi, C. Nerín, LWT-Food. Sci. Technol. 60, 929–933 (2015)

    CAS  Google Scholar 

  3. S. Dini, A. Dadkhah, F. Fatemi, Electron. J. Biotechnol. 11, 57–62 (2015)

    Google Scholar 

  4. M.H. Boskabady, L. Gholami, Mahtaj. BMC Complement. Altern. Med. 15, 39–49 (2015)

    Article  Google Scholar 

  5. M. Gharib Naseri, H. Mazlomi, M. Goshaiesh, G. Vakilzadeh, A. Heidari, Iran. J. Pharm. Res. 5, 131–136 (2006)

    Google Scholar 

  6. M. Ramezani, H. Hosseinzadeh, S. Samizadeh, J. Ethnopharmacol. 91, 167–170 (2004)

    Article  Google Scholar 

  7. M.H. Boskabady, H. Tabanfar, Z. Gholamnezhad, H.R. Sadeghnia, Fundam. Clin. Pharmacol. 26, 609–620 (2012)

    Article  CAS  Google Scholar 

  8. E. Stahl-Biskup, F. Sáez, Thyme: The Genus Thymus (CRC Press, Boca Raton, 2003)

    Google Scholar 

  9. F. Naghibi, M. Mosaddegh, M. Mohammadi Motamed, A. Ghorbani, Iran. J. Pharm. Res. 2, 63–79 (2005)

    Google Scholar 

  10. E.-M. Pferschy-Wenzig, R. Bauer, Epilepsy Behav. 52, 344–362 (2015)

    Article  Google Scholar 

  11. K. Weising, H. Nybom, M. Pfenninger, K. Wolff, G. Kahl, DNA Fingerprinting in Plants: Principles, Methods, and Applications (CRC press, Boca Raton, 2005)

    Book  Google Scholar 

  12. W. Weckwerth, G. Kahl, The Handbook of Plant Metabolomics (Wiley, New York, 2013)

    Book  Google Scholar 

  13. A. Gredilla, S.F.-O. de Vallejuelo, N. Elejoste, A. de Diego, J.M. Madariaga, TrAC Trends. Anal. Chem. 76, 30–39 (2016)

    Article  CAS  Google Scholar 

  14. C.J. Bevin, A.J. Fergusson, W.B. Perry, L.J. Janik, D. Cozzolino, J. Agric. Food Chem. 54, 9713–9718 (2006)

    Article  CAS  Google Scholar 

  15. K. Varmuza, P. Filzmoser, Introduction to Multivariate Statistical Analysis in Chemometrics (CRC Press, Boca Raton, 2016)

    Google Scholar 

  16. K.S. Mohd, A. Azemin, M.S.R. Hamil, A.R.A. Bakar, S. Dharmaraj, M.R. Hamdan, H. Mohamad, N. Mat, Z. Ismail, Asian J. Pharm. Clin. Res. 7, 110–116 (2014)

    Google Scholar 

  17. Y. Zhao, J. Zhang, H. **, J. Zhang, T. Shen, Y. Wang, J. AOAC Int. 98, 22–26 (2015)

    Article  CAS  Google Scholar 

  18. M. Mahboubifar, S. Yousefinejad, M. Alizadeh, B. Hemmateenejad, J. Iran. Chem. Soc. 13, 2291–2299 (2016)

    Article  CAS  Google Scholar 

  19. B. Hemmateenejad, S. Dorostkar, Energy Fuels 28, 761–765 (2014)

    Article  CAS  Google Scholar 

  20. P. Izadiyan, B. Hemmateenejad, Food Chem. 190, 864–870 (2016)

    Article  CAS  Google Scholar 

  21. S.D. Sarker, L. Nahar, Natural Products Isolation (Springer, Berlin, 2012), pp. 1–25

    Google Scholar 

  22. J. Engel, J. Gerretzen, E. Szymańska, J.J. Jansen, G. Downey, L. Blanchet, L.M.C. Buydens, TrAC Trends Anal. Chem. 50, 96–106 (2013)

    Article  CAS  Google Scholar 

  23. S. Wold, H. Antti, F. Lindgren, J. Öhman, Chemometrics. Intellig. Lab. Syst. 44, 175–185 (1998)

    Article  CAS  Google Scholar 

  24. R.G. Brereton, Chemometrics: Data Analysis for the Laboratory and Chemical Plant (Wiley, New York, 2003)

    Book  Google Scholar 

  25. L.A. Berrueta, R.M. Alonso-Salces, K. Héberger, J. Chromatogr. 1158, 196–214 (2007)

    Article  CAS  Google Scholar 

  26. M. Daszykowski, S. Serneels, K. Kaczmarek, P. Van Espen, C. Croux, B. Walczak, Chemom. Intell. Lab. Syst. 85, 269–277 (2007)

    Article  CAS  Google Scholar 

  27. D. Ballabio, V. Consonni, Anal. Methods 5, 3790–3798 (2013)

    Article  CAS  Google Scholar 

  28. G. Socrates, Infrared and Raman Characteristic Group Frequencies: Tables and Charts (Wiley, New York, 2004)

    Google Scholar 

  29. K. Varmuza, Chemometrics in Practical Applications (InTech, Rijeka, 2012)

    Book  Google Scholar 

  30. T. Lillhonga, P. Geladi, Anal. Chim. Acta 544, 177–183 (2005)

    Article  CAS  Google Scholar 

  31. Z. Li, J. Liu, P. Shan, S. Peng, J. Lv, Z. Ma, Chemom. Intell. Lab. Syst. 156, 7–13 (2016)

    Article  CAS  Google Scholar 

  32. R.M. Silverstein, F.X. Webster, D.J. Kiemle, D.L. Bryce, Spectrometric Identification of Organic Compounds (Wiley, New York, 2014)

    Google Scholar 

  33. F. Marini, Chemometrics in Food Chemistry (Newnes, Oxford, 2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bahram Hemmateenejad.

Ethics declarations

Funding

This research is financially supported by the research council of Shiraz University of Medical Sciences (approval Grant Number: 94-01-12-9258).

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 151 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Izadiyan, P., Hemmateenejad, B., Mohsen Taghavi, S. et al. Discrimination of Shirazi thyme from thymus species and antioxidant activity prediction using chemometrics and FT-IR spectroscopy. J IRAN CHEM SOC 15, 259–268 (2018). https://doi.org/10.1007/s13738-017-1228-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13738-017-1228-4

Keywords

Navigation