Stepwise strategy based on 1H-NMR fingerprinting in combination with chemometrics to determine the content of vegetable oils in olive oil mixtures

1H NMR fingerprinting of edible oils and a set multivariate classification regression models organised in decision tree is proposed as stepwise strategy to assure the authenticity traceability olive their declared blends with other vegetable (VOs). Oils ‘virgin oil’ ‘olive categories mixtures most common VOs, i.e. sunflower, high oleic hazelnut, avocado, soybean, corn, refined palm olein desterolized sunflower oils, were studied. Partial least squares (PLS) discriminant analysis provided stable robust binary identify oil type VO blend. PLS afforded excellent precisions acceptable accuracies determine percentage mixture. The satisfactory performance this approach, tested blind samples, confirm its potential support regulations control bodies.