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A rapid method for the analysis of hydrogenated fats by GC with IR detection
Author(s) -
Mjøs Svein Are,
Pettersen Jan
Publication year - 2003
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/s11746-003-0783-0
Subject(s) - degree of unsaturation , iodine value , double bond , partial least squares regression , chemistry , cis–trans isomerism , chromatography , organic chemistry , mathematics , statistics
A rapid method for analysis of trans and cis FA in hydrogenated fats has been developed. The method is based on a single anlaysis by CG with IR detection. Multivariate partial least squares regression is applied on the IR spectra to predict the number of cis and trans double bonds. For each chain length the method provides information about the amount of the saturated FA, the amount of trans monoenes, the amount of cis monoenes, the amount of PUFA, and the average number of cis and trans double bonds in PUFA. The method has been validated by summing the values to a total trans value and total unsaturation. These sum values were compared with total trans unsaturation, as determined by AOCS method Cd 14‐95, and iodine value, as determined by AOCS Cd 1d‐92.