Czech J. Food Sci., 2019, 37(5):374-382 | DOI: 10.17221/270/2018-CJFS
Characterisation of flaxseed cultivars based on NIR diffusion reflectance spectra of whole seeds and derived samplesFood Analysis, Food Quality and Nutrition
- 1 Department of Dairy, Fat and Cosmetics, Faculty of Food and Biochemical Technology, University of Chemistry and Technology in Prague, Prague, Czech Republic
- 2 Department of Carbohydrates and Cereals, Faculty of Food and Biochemical Technology, University of Chemistry and Technology in Prague, Prague, Czech Republic
Discrimination of yellow and brown flaxseed cultivars was made based on diffusion reflectance FT-NIR spectra of whole seeds. The spectra of flaxseed kernels, hulls, defatted flours, and oils were also measured for comparison. Hierarchy cluster analysis (HCA) and principal component analysis (PCA) were used for the discrimination. Multivariate analyses of FT-NIR spectra led to satisfactory discrimination of all flaxseed cultivars of this study mainly according to the nutritionally important fatty acid composition that was confirmed by comparison with the corresponding spectra of flaxseed kernel and oil. By contrast, spectral features of proteins, polysaccharides, and tannins predominated in the FT-NIR spectra of flaxseed hulls and defatted flours.
Keywords: crop seed composition; multivariate analyses; vibration spectroscopy
Published: October 31, 2019 Show citation
ACS | AIP | APA | ASA | Harvard | Chicago | Chicago Notes | IEEE | ISO690 | MLA | NLM | Turabian | Vancouver |
References
- Azizian H., Kramer J.K.G. (2005): A rapid method for the quantification of fatty acids in fats and oils with emphasis on trans-fatty acids using Fourier transform near infrared spectroscopy (FT-NIR). Lipids, 40: 855-867.
Go to original source...
Go to PubMed...
- Hong J.H., Ikeda K., Kreft I., Yasumoto K. (1996): Nearinfrared diffuse reflectance spectroscopic analysis of the amounts of moisture, protein, starch, amylose, and tannin in buckwheat flours. Journal of Nutritional Science and Vitaminology, 42: 359-366.
Go to original source...
Go to PubMed...
- Hourant P., Baetten V., Morales M.T., Meurens M., Aparicio R. (2000): Oil and fat classification by selected bands of near-infrared spectroscopy. Applied Spectroscopy, 54: 1168-1174.
Go to original source...
- Porep J.U., Kammerer D.R., Carle R. (2015): On-line application of near infrared (NIR) spectroscopy in food production. Trends in Food Science and Technology, 46: 211-230.
Go to original source...
- Ralph W. (1992): A major new oilseed. Rural Research, 157, 4-7.
- Ribeiro L.F., Peralta-Zamora P.G., Maia B.H.L.N.S., Ramos L.P., Pereira-Netto A.B. (2013): Prediction of linolenic and linoleic fatty acids content in flax seeds and flax seeds flours through the use of infrared reflectance spectroscopy and multivariate calibration. Food Research International, 51: 848-854.
Go to original source...
- Sato T. (2014): New estimation method for fatty acid composition in oil using near infrared spectroscopy. Bioscience, Biotechnology, and Biochemistry, 66: 2543-2548.
Go to original source...
Go to PubMed...
- Sato T., Maw A.A., Katsuta M. (2003): NIR reflectance spectroscopic analysis of the FA composition in sesame (Sesamum indicum L.) seeds. Journal of Americal Oil Chemical Society, 80: 1157-1161.
Go to original source...
- Sato T., Takahashi M., Matsunaga R. (2002): Use of NIR spectroscopy for estimation of FA composition of soy flour. Journal of Americal Oil Chemical Society, 79: 535-537.
Go to original source...
- Siemens B.J., Daun J.K. (2005): Determination of the fatty acid composition of canola, flax, and solin by near-infrared spectroscopy. Journal of Americal Oil Chemical Society, 82: 153-157.
Go to original source...
- Smolová J., Němečková I., Klimešová M., Švandrlík Z., Bjelková M., Filip V., Kyselka J. (2017): Flaxseed varieties: composition and influence on the Growth of Probiotic microorganisms in milk. Czech Journal of Food Sciences, 35: 18-23.
Go to original source...
- Soukupova J., Rock B.N., Albrechtova J. (2002): Spectral characteristics of lignin and soluble phenolics in the near infrared - a comparative study. International Journal of Remote Sensing, 23: 3039-3055.
Go to original source...
- Westad F., Schmidt A., Kermit M. (2007): Incorporating chemical band-assignment in near infrared spectroscopy regression models. Journal of Near Infrared Spectroscopy, 16: 265-273.
Go to original source...
- Workman J.R., Jerome J. (1996): Interpretive spectroscopy for near infrared. Applied Spectroscopy Reviews, 31: 251-320.
Go to original source...
This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.