Identification of coriander oil adulteration using a portable NIR spectrometer

Coriander oil is a vegetable extracted from coriander seed that has about 70% of petroselinic acid, apart anti-inflammatory and anti-aging properties, thus gaining the status new food ingredient. Due to its properties added value, it can become target adulteration as occurs with other edible oils high market value. Therefore, objective this work was identify authenticity commercial such palm olein, canola soybean oil. Principal component analysis (PCA) differentiated matrices pure using 3 principal components, which explained 87% variance. Linear discriminant (LDA) k-nearest neighbors algorithm (k-NN) were used classify samples adulterated oils. Partial Least Squares (PLS) regression models presented coefficient determination (R2) 0.98, 0.99 0.99, for olein oil, respectively. RPD between 7.1 10, indicates robust be quality control during processing