The Authentication of Basmati Rice Using near Infrared Spectroscopy

Abstract

The feasibility of using near infrared transmission spectroscopy to discriminate between Basmati and other long-grain rice samples was investigated. A discriminant rule was derived using the Fisher linear discriminant function calculated from the first few principal component scores of the NIR spectra. The discriminant rule was assessed by cross-validation. Nine Basmati and 53 other rice samples were classified correctly from NIR spectra measured on 200 g bulk samples but 8% of the Basmatis and 14% of the others were misclassified on the basis of spectra of individual grains. Using average spectra from 23 grains resulted in correct classification of 16 Basmatis but a 20% error rate on 100 other samples.