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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%.

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