Determination of oil content, linolenic and erucic acids contents in false flax seeds using IR-spectrometry
Автор: Efimednko S.G., Efimenko S.K.
Рубрика: Селекция и семеноводство сельскохозяйственных растений
Статья в выпуске: 2 (186), 2021 года.
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Spectroscopy of near infrared reflection (NIRS) was used for estimation of biochemical indicators in seeds of false flax. The purpose of our work was to develop calibrating models for IR-analyzer MATRIX-I for determination of weight percentage of oil, lino-lenic and erucic acids contents in oil of seeds in unbroken seeds of false flax (winter and spring forms). The researches were conducted in the biochemistry laboratory on false flax samples cultivated in 20162020 in the different environments of the Russian Federation. Oil content was determined with NMR-analyzer AMV 1006М according to the technique described in the State Standard 8.597-2010, percentage contents of linolenic and erucic acids in oil was estimated on the gas chromatograph “Chromatech - Kristal 5000” with an automatic dipper on a capillary column SolGel-Wax 30 m х 0.25 mm х 0.5 pcm. The best indicators of quality of the calibrating models (root mean square error of prediction, coefficient of determination, and meaning of a residual deflection of prediction for a rank reflected on a figure) were obtained by oil content (RMSEP = 0.20%, R2 = 99.3, and RPD = 12.3), linolenic acid content (RMSEP = 0.35%, R2 = 98.8, and RPD = 9.2) and erucic acid content (RMSEP = 0.14%, R2 = 85.7, and RPD = 2.6). In a program OPUS LAB, we received a method “False flax 51” based on the developed calibrating models for a routine analysis for determination of oil content, linolen-ic and erucic acids contents in oil in the unbroken seeds of false flax in an average (9-20 g) in a cuvette with diameter of 51 mm. this method allows conducting express-estimation of false flax seeds for breeding traits with performance of more than 100 sample per seven hours.
Seed, false flax, oil content, linolenic and erucic fatty acids, ir-spectrometry, calibrating model
Короткий адрес: https://sciup.org/142229256
IDR: 142229256 | DOI: 10.25230/2412-608X-2021-2-186-50-59