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Large‐Scale Screening of Intact Castor Seeds by Viscosity Using Time‐Domain NMR and Chemometrics
Author(s) -
Berman Paula,
Nizri Shahar,
Parmet Yisrael,
Wiesman Zeev
Publication year - 2010
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/s11746-010-1612-z
Subject(s) - ricinoleic acid , castor oil , chemometrics , viscosity , principal component analysis , chemistry , chromatography , food science , biological system , microbiology and biotechnology , mathematics , materials science , organic chemistry , biology , statistics , composite material
Castor is one of the most promising non‐edible oil crops, due to its high oil content and since it can be grown on marginal lands and in a semi‐arid climate. However, the high content of ricinoleic acid results in an extremely high viscosity of castor‐based biodiesel. In this study, we report on the development of a rapid and non‐destructive method for large‐scale screening of intact castor seeds according to their viscosity by time domain NMR and chemometrics. A qualitative principal component analysis model was constructed, where each observation was assigned to a different viscosity group. This model straightforwardly detects desirable outliers, and can also be applied for detection of other transgenic oilseeds, especially those containing small levels of hydroxylated fatty acid.