Abstract
Calibrations and Predictions of Nitrogen, Oil and glucosinolates content in whole rapeseed kernels were made by use of a research near infrared spectrometer (P. Sci - Mark II).
The calibration equations were developped on a large population of samples, analysed by the reference method ( protein : KEJDAHL - oil : SOXHLET - glucosinolates : HPLC - GC).
Oil, protein and glucosinolates content could be estimated with high correlation and accuracy.
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For oil : a multiple correlation coefficient (r) of 0.98 and a standard error of estimated values (SE) of 0.53 were obtained by using 4 wavelengths after the transformation of the data (log l/R) in second derivative.
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For protein : a multiple correlation coefficient (r) of 0.97 and a standard error of estimated values (SE) of 0.29 were obtained using 4 wavelengths after the transformation of the data (log l/R) in second derivative.
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For glucosinolates : after the transformation of the data in first derivative, a coefficient of multiple correlation of 0.98 was observed, as well as a standard error of estimated values of 3.0 micromoles/g of seeds for samples analysed by HPLC and 3.6 micromoles/g of seeds for samples analysed by GC. The wavelengths retained were 1636 - 1624 - 1640.
We conclude that N.I.R.S. allows an accurate prediction of the quality parameters of whole rapeseed.
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References
Ribaillier,D.,1984. L’analyse des graines oléagineuses par spectroscopic de reflexion dans le proche infra rouge. Revue Française des Corps gras, 4–5.
Spinks, E., Sones, K. and Fenwick, G.R.,1984. The quantitative analysis of glucosinolates in cruciferous vegetables, oilseeds and forage crops using high performance liquid chromatography. Fette, Seifen, Anstrichmittel, 86, 228–231.
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© 1987 ECSC, EEC, EAEC, Brussels-Luxembourg
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Biston, R., Dardenne, P., Cwikowski, M., Wathelet, JP., Severin, M. (1987). Analysis of Quality Parameters of Whole Rapeseed by N.I.R.S.. In: Wathelet, JP. (eds) Glucosinolates in Rapeseeds: Analytical Aspects. World Crops: Production, Utilization, Description, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3615-7_12
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DOI: https://doi.org/10.1007/978-94-009-3615-7_12
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-8118-4
Online ISBN: 978-94-009-3615-7
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