Abstract
This study aimed to use the Chemometrics approach, namely cluster analysis (CA), discriminant analysis (DA) and Vectorial Angle Method (VAM) to analyze palm oil in rice bran oil (RBO). RBO was extracted from fresh rice bran in China and palm oil from Malaysia. Simulated adulteration of palm oil in RBO was designed and the amounts of fatty acid content under different adulteration were detected by gas chromatography (GC). DA and CA were used for the classification of RBO and RBO mixed with palm oil based on GC data. The VAM was exploited for the quantification of palm in RBO. The clustering analysis showed that no misclassification for RBO and RBO mixed with palm oil when adulteration is over 9%, and discriminant analysis reached a maximum classification accuracy of 100%.
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