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Fast analysis of rapeseed glucosinolates by near infrared reflectance spectroscopy
Author(s) -
Biston R.,
Dardenne P.,
Cwikowski M.,
Marlier M.,
Severin M.,
Wathelet JP.
Publication year - 1988
Publication title -
journal of the american oil chemists' society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.512
H-Index - 117
eISSN - 1558-9331
pISSN - 0003-021X
DOI - 10.1007/bf02912561
Subject(s) - rapeseed , chromatography , high performance liquid chromatography , chemistry , near infrared reflectance spectroscopy , infrared spectroscopy , correlation coefficient , analytical chemistry (journal) , spectroscopy , derivative (finance) , calibration , population , near infrared spectroscopy , mathematics , biology , organic chemistry , statistics , physics , food science , demography , quantum mechanics , neuroscience , sociology , financial economics , economics
Industry and plant breeders require fast methods to analyze glucosinolates in rapeseed. We tested the potential of near infrared reflectance spectroscopy (NIRS) for this analysis and developed calibration equations on a large population of whole seeds. Reference methods used are high performance liquid chromatography (HPLC) and gas liquid chromatography (GLC) of desulphoglucosinolates, a glucose‐release method after purification on an anion exchange column and a palladium test. In the range from 2 to 107 μM/g and after transformation of the data in first derivative, a correlation coefficient of 0.99 was observed, as well as standard errors of estimated values of 2.15, 2.52, 2.67 and 4.07 for samples analyzed by HPLC, GLC, glucose and the palladium test, respectively. With different wavelengths, a limited calibration test on seeds containing from 4 to 40 μM/g gives a standard error of 1.91 μM/g (HPLC).