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Vegetable oil of various types and sources may produce different aroma. This study explores the application of electronic nose for aroma analysis, mainly for characterization and classification of different types of vegetable oils. The electronic nose system comprises of metal oxide semiconductor (MOS) sensors which is used to extract the fingerprint of volatile compounds that is present in the samples. In this study, a linear discriminant analysis (LDA) was applied for electronic nose data processing and recognition. Analysis of the LDA showed that the percentage performance for the training group was 100%, while for test group was 93.6% and 85.4% validated. Based on the results obtained, the electronic nose was able to classify the aroma of different types of vegetable oil.

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