Background: In the present paper, a method for differentiation between common and spelt wheat grown in different farming systems (biodynamic, ecological, integrated, conventional), based on biomarkers identified from aqueous flour extracts (nitrogen and 14 soluble carbohydrates) was employed.
Results: The identification and determination of soluble carbohydrate content were carried out using gas chromatography-mass spectrometry, with the UV spectrum generated by mass spectrometry for comparison with the WILEY database. Soluble carbohydrates were determined in the peak area between 21.92 and 43.63 min-1 retention time. The obtained data set was analyzed by multivariate statistical techniques. It was revealed that common wheat exerted a much more pronounced tendency than spelt wheat to be influenced by the farming system.
Conclusion: This differentiation was particularly well visualized after subjecting the data set to principal component analysis (PCA) and cluster analysis (CA). In the PCA graph, all spelt samples were positioned closer to the corresponding control sample, in contrast to the wheat samples, which were distributed over a huge area in the factor space. CA showed that the spelt samples grown under different farming systems were highly similar and grouped into one cluster. Common wheat samples cultivated under organic, biodynamic and integrated system were similar and represented the second cluster, whereas that cultivated under the conventional system was clearly separated from other samples. © 2020 Society of Chemical Industry.
Keywords: biomarkers; hydrosoluble extract; organic; spelt; wheat.
© 2020 Society of Chemical Industry.