A two-tiered system of analysis to tackle rice fraud: The Indian Basmati study.
Talanta
; 225: 122038, 2021 Apr 01.
Article
in English
| MEDLINE | ID: covidwho-989274
ABSTRACT
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.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Oryza
/
Volatile Organic Compounds
/
Food Analysis
/
SARS-CoV-2
/
COVID-19
/
Gas Chromatography-Mass Spectrometry
Type of study:
Observational study
/
Prognostic study
Topics:
Long Covid
/
Variants
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
Talanta
Year:
2021
Document Type:
Article
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