A two-tiered system of analysis to tackle rice fraud: The Indian Basmati study

TALANTA

卷:225

Article

Shannon, Maeve¹  Ratnasekhar, C. H.^1,2  McGrath, Terence F.¹  Kapil, Arun P.³  Elliott, Christopher T.¹ 

[1] Queens Univ Belfast, ASSET Technol Ctr, Inst Global Food Secur, Belfast, Antrim, North Ireland

[2] CSIR CIMAP, Analyt Chem, Lucknow, Uttar Pradesh, India

[3] Green Saffron Spices Ltd, Midleton, Co Cork, Ireland

关键词: Basmati rice;    Two-tiered method;    Adulteration;    NIR;    Handheld;    GC-MS;    Chemometrics;    Fraud;   

DOI  :  10.1016/j.talanta.2020.122038

来源: Elsevier

【 摘 要 】

Demand for high quality Basmati rice has increased significantly in the last decade. This commodity is highly vulnerable to fraud, especially in the post COVID-19 era. A unique two-tiered analytical system comprised of rapid on-site screening of samples using handheld portable Near-infrared NIR and laboratory confirmatory technique using a Head space gas chromatography mass spectrometry (HS-GC-MS) strategy for untargeted analysis was developed. Chemometric models built using NIR data correctly predicted nearly 100% of Pusa 1121 and Taraori, two high value types of Basmati, from potential adulterants. Furthermore, rice VOC profile fingerprints showed very good classification (R2 >0.9, Q2 > 0.9, Accuracy > 0.99) for these high quality Basmati varieties from potential adulterant varieties with aldehydes identified as key VOC marker compounds. Using a two-tiered system of a rapid method for on-site screening of many samples alongside a laboratory-based confirmatory method can classify Basmati rice varieties, protecting the supply chain from fraud.

【 授权许可】

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