Mineral profile exploratory analysis for rice grains traceability
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Food Chemistry
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Rice geographical traceability requires analytical procedures and data evaluation capable of linking its composition
to the producing area. In this work, major and trace elements in soil and rice grains and husk from 9
cities and 17 producers were evaluated. Arsenic species were measured solely in rice grains. The rice mineral
profile evaluated by principal component analysis allowed the identification of controlling variables and origin
fingerprints. Vectors controlling data variability were linked to the geographical area, to crop management,
producers and in a lower extent to soil composition. Elemental discrimination through 3D models was proposed.
Arsenic species in the grains and elemental husk composition were decisive to achieve the required discrimination.
Rice discrimination was obtained by cities, producers and varieties. The present work model was
compared with others from similar studies.
Como referenciar
LANGE, CAMILA N.; MONTEIRO, LUCILENA R.; FREIRE, BRUNA M.; FRANCO, DANIEL F.; SOUZA, ROGERIO O. de; FERREIRA, CECILIA S. dos R.; SILVA, JULIO J.C. da; BATISTA, BRUNO L. Mineral profile exploratory analysis for rice grains traceability. Food Chemistry, v. 300, p. 1-10, 2019. DOI: 10.1016/j.foodchem.2019.125145. Disponível em: http://repositorio.ipen.br/handle/123456789/30454. Acesso em: 30 Dec 2025.
Esta referência é gerada automaticamente de acordo com as normas do estilo IPEN/SP (ABNT NBR 6023) e recomenda-se uma verificação final e ajustes caso necessário.