In this study (purchase required) bulk isotope ratio mass spectrometry (IRMS) combined with multivariate analysis was used to develop a model to identify the geographical origin of rice and authenticate different rice cultivars from Pakistan. The authors reported significant statistical differences for δ13C, δ15N, δ2H and δ18O isotopes amongst different basmati and non-basmati rice cultivars. δ2H and δ18O values showed a larger variation between basmati and non-basmati rice cultivars. Multivariate ANOVA showed a significant influence on rice from different regions, cultivars and their stable isotopic values.
The researchers constructed supervised classification models (LDA and PLS-DA) to assess origin. They found that the PLS-DA model achieved a the best classification accuracy at around 70 – 80%.