Skip to main content
Log in

Authentication of Cereal Flours by Multivariate Analysis of GC–MS Data

  • Short Communication
  • Published:
Chromatographia Aims and scope Submit manuscript

Abstract

In this work flour samples of various cereal species, a group of different cultivars of small grain species (wheat, Triticum spp.; barley, Hordeum vulgare; oat, Avena sativa; rye, Secale cereale; triticale, Triticosecale) and cultivars of corn species, Zea Mays, growing in the same period and in the same geographical area, were selected to establish differences between each other, using a new rapid method: a comparison of derivatized hexane extracts by GC–MS and multivariate analysis, using the characteristic fragmentation ion m/z 74, without performing qualitative and quantitative analysis of eluting components. Obtained results were compared with the results obtained using a common electron microscopy method. Flour samples made of every corn and oat cultivar showed complete differences compared to flour samples of each wheat, barley, rye and triticale cultivar investigated in this study. The GC–MS approach combined with multivariate analysis outperforms the standard electron microscopy method in a faster and easier way, and may be used to verify flour types in the market.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Abbreviations

GC–MS:

Gas chromatography–mass spectrometry

W:

Wheat

B:

Barley

O:

Oat

R:

Rye

T:

Triticale

C:

Corn

EI:

Electron impact

TMSH:

Trimethylsulfonium-hydroxide

TIC:

Total ion current

SIM:

Selected ion monitoring

PCO:

Principal coordinate analysis

CA:

Cluster analysis

References

  1. Doxastakis G, Zafiriadis I, Irakli M, Marlani H, Tananaki C (2002) Lupin, soya and triticale addition to wheat flour doughs and their effect on rheological properties. Food Chem 77:219–227. doi:10.1016/S0308-8146(01)00362-4

    Article  CAS  Google Scholar 

  2. Preciado-Ortiz R, Garcia-Lara S, Ortiz-Islas S, Ortega-Corona A, Serna-Saldivar S (2013) Response of recurrent selection on yield, kernel oil content and fatty acid composition of subtropical maize populations. Field Crop Res 142:27–35. doi:10.1016/j.fcr.2012.11.019

    Article  Google Scholar 

  3. Konopka I, Czaplicki S, Rotkiewicz D (2006) Differences in content and composition of free lipids and carotenoids in flour of spring and winter wheat cultivated in Poland. Food Chem 95:290–300. doi:10.1016/j.foodchem.2005.01.011

    Article  CAS  Google Scholar 

  4. Armanino C, Acutis R, Festa MR (2002) Wheat lipids to discriminate species, varieties, geographical origins and crop years. Anal Chim Acta 454:315–326. doi:10.1016/S0003-2670(01)01548-3

    Article  CAS  Google Scholar 

  5. Holguin-Acuna AL, Carvajal-Millan E, Santana-Rodriguez V, Rascon-Chu A, Marquez-Escalante JA, Leon-Renova NE, Guadalupe GF (2008) Maize bran/oat flour extruded breakfast cereal: a novel source of complex polysaccharides and an antioxidant. Food Chem 111:654–657. doi:10.1016/j.foodchem.2008.04.034

    Article  CAS  Google Scholar 

  6. Thomas D, Atwell W (1999) Starches. Egan Press, Minnesota

    Book  Google Scholar 

  7. Ačanski M, Dj Vujić (2014) Comparing sugar components of cereal and pseudocereal flour by GC–MS analysis. Food Chem 145:743–748. doi:10.1016/j.foodchem.2013.08.138

    Article  Google Scholar 

  8. Ačanski M, Dj Vujić, Dj Psodorov (2015) Practical method for the confirmation of authentic flours of different types of cereals and pseudocereals. Food Chem 172:314–317. doi:10.1016/j.foodchem.2014.09.068

    Article  Google Scholar 

  9. Žilić S, Mogol BA, Akıllıoğlu G, Serpen A, Babić M, Gökmen V (2013) Effects of infrared heating on phenolic compounds and Maillard reaction products in maize flour. J Cereal Sci 58:1–7. doi:10.1016/j.jcs.2013.05.003

    Article  Google Scholar 

  10. Cozzolino D, Roumeliotis S, Eglinton J (2014) Evaluation of the use of attenuated total reflectance mid infrared spectroscopy to determine fatty acids in intact seeds of barley (Hordeum vulgare). LWT Food Sci Technol 56:478–483. doi:10.1016/j.lwt.2013.11.019

    Article  CAS  Google Scholar 

  11. Hammer O, Harper DAT, Ryan PD (2001) PAST: paleontological statistics software package for education and data analysis. Palaeontologia Electronica 1, Oslo. http://palaeo-electronica.org/2001_1/past/past.pdf

  12. Varmuza K, Filzmoser P (2008) Introduction to multivariate statistical analysis in chemometrics, chapter 6: cluster analysis. CRC Press, Taylor and Francis Group, Boca Raton. http://www.mn-net.com/tabid/10234/default.aspx

  13. Derndorfer E, Baierl A (2014) In: Granato D, Ares G (eds) Mathematical and statistical methods in food science and technology. Wiley, Chichester

    Google Scholar 

  14. Barthole G, Lepiniec L, Rogowsky PM, Baud S (2012) Controlling lipid accumulation in cereal grains. Plant Sci 185–186:33–39. doi:10.1016/j.plantsci.2011.09.002

    Article  Google Scholar 

Download references

Acknowledgments

The authors gratefully acknowledge the financial support from the Ministry of Education, Science and Technological Development of the Republic of Serbia and Provincial Secretariat for Science and Technological Development of Vojvodina (Project No. 114-451-1361/2014-03) and COST Action FA1306. The quest for tolerant varieties - Phenotyping at plant and cellular level.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kristian Pastor.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Research involving human participants and/or animals

This article does not contain any studies on animals or humans performed by any of the authors.

Informed consent

Not applicable.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Pastor, K., Ačanski, M., Vujić, Đ. et al. Authentication of Cereal Flours by Multivariate Analysis of GC–MS Data. Chromatographia 79, 1387–1393 (2016). https://doi.org/10.1007/s10337-016-3142-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10337-016-3142-9

Keywords

Navigation