A rapid method for the analysis of hydrogenated fats by GC with IR detection

Summary

A rapid method for analysis of trans and cis FA in hydrogenated fats has been developed. The method is based on a single analysis by GC 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.

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DOI : doi.org/10.1007/s11746-003-078...