Over 90 percent of the world's rice is produced and consumed in the Asia-Pacific region. Varieties such as Thai Jasmine rice and Paw San (or “Myanmar pearl rice”) are globally recognised as premium, while more local high-grade varieties include the Indonesian Ciherang and Inpari. Being able to trace the origin of these products has become necessary, since they are marketed at relatively higher prices compared to other cultivars, and they often become the target of fraudulent activities. In this work, we aimed to identify variables that could distinguish the premium-producing regions within each country, by Isotope Ratio Mass Spectrometry (IRMS) and Inductively Coupled Plasma- Mass Spectrometry (ICP-MS). Low-Level Data Fusion (LLDF) followed the analysis of more than 300 authentic samples, and (O)PLS-DA models yielded very high accuracy values. The most important geo-differentiating variables (VIP>1.4) were identified as: δ13C, δ18O, δ2H, δ34S, Co, Rb, Cu, Ba and Zn
Giannioti, Z.; Brigante, F.; Kelly, S.; Ogrinc, N.; Hudobivnik, M.J.; Mazej, D.; Tonon, A.; Ziller, L.; Kukusamude, C.; Kongsri, S.; Thantar, S.; Widyastuti, H.; Yuan, Y.; Bontempo, L. (2024). Authentication of premium Asian rice varieties: stable isotope ratios and multi-elemental content for the identification of geographic fingerprints. LEBENSMITTEL-WISSENSCHAFT + TECHNOLOGIE, 209: 116752. doi: 10.1016/j.lwt.2024.116752 handle: https://hdl.handle.net/10449/86635
Authentication of premium Asian rice varieties: stable isotope ratios and multi-elemental content for the identification of geographic fingerprints
Giannioti, Z.Primo
;Brigante, F.;Tonon, A.;Ziller, L.;Bontempo, L.
Ultimo
2024-01-01
Abstract
Over 90 percent of the world's rice is produced and consumed in the Asia-Pacific region. Varieties such as Thai Jasmine rice and Paw San (or “Myanmar pearl rice”) are globally recognised as premium, while more local high-grade varieties include the Indonesian Ciherang and Inpari. Being able to trace the origin of these products has become necessary, since they are marketed at relatively higher prices compared to other cultivars, and they often become the target of fraudulent activities. In this work, we aimed to identify variables that could distinguish the premium-producing regions within each country, by Isotope Ratio Mass Spectrometry (IRMS) and Inductively Coupled Plasma- Mass Spectrometry (ICP-MS). Low-Level Data Fusion (LLDF) followed the analysis of more than 300 authentic samples, and (O)PLS-DA models yielded very high accuracy values. The most important geo-differentiating variables (VIP>1.4) were identified as: δ13C, δ18O, δ2H, δ34S, Co, Rb, Cu, Ba and ZnFile | Dimensione | Formato | |
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