A two-tiered system of analysis to tackle rice fraud: The Indian Basmati study.
Talanta
; 225: 122038, 2021 Apr 01.
Artigo
em Inglês
| 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.
Palavras-chave
Texto completo:
Disponível
Coleções:
Bases de dados internacionais
Base de dados:
MEDLINE
Assunto principal:
Oryza
/
Compostos Orgânicos Voláteis
/
Análise de Alimentos
/
SARS-CoV-2
/
COVID-19
/
Cromatografia Gasosa-Espectrometria de Massas
Tipo de estudo:
Estudo observacional
/
Estudo prognóstico
Tópicos:
Covid persistente
/
Variantes
Limite:
Humanos
País/Região como assunto:
Ásia
Idioma:
Inglês
Revista:
Talanta
Ano de publicação:
2021
Tipo de documento:
Artigo
Similares
MEDLINE
...
LILACS
LIS