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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Mineral profile exploratory analysis for rice grains traceability

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Author(s):
Lange, Camila Neves [1] ; Monteiro, Lucilena Rebelo [2] ; Freire, Bruna Moreira [1] ; Franco, Daniel Fernandez [3] ; de Souza, Rogerio Oliveira [4] ; dos Reis Ferreira, Cecilia Sacramento [5] ; Centeno da Silva, Julio Jose [3] ; Batista, Bruno Lemos [1]
Total Authors: 8
Affiliation:
[1] Univ Fed ABC, Ctr Ciencias Nat & Humanas, Rua Santa Adelia 166, Santo Andre, SP - Brazil
[2] Comissao Nacl Energia Nucl, Ipen CNEN SP Inst Pesquisas Energet & Nucl, Ctr Quim & Meio Ambiente, Av Lineu Prestes 2242, Sao Paulo, SP - Brazil
[3] Embrapa Empresa Brasileira Pesquisa Agr, Estacao Expt Terras Baixas, Ctr Pesquisa Agr Clima Temperado, Campus Univ, Pelotas, RS - Brazil
[4] Univ Fed Pelotas, Dept Solos, Fac Agron Eliseu Maciel, Campus Univ S No, Pelotas, RS - Brazil
[5] Univ Estadual Londrina, Dept Quim, Ctr Ciencias Exatas, Campus Univ S No, Rodovia Celso Garcia Cid, Londrina, PR - Brazil
Total Affiliations: 5
Document type: Journal article
Source: Food Chemistry; v. 300, DEC 1 2019.
Web of Science Citations: 0
Abstract

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. (AU)

FAPESP's process: 17/20914-8 - Method validation for determination of trace elements in urine for occupational evaluation of foundry workers
Grantee:Bruna Moreira Freire
Support Opportunities: Scholarships in Brazil - Master
FAPESP's process: 18/21494-5 - Arsenic and rice: monitoring and (bio)remediation studies for food safety
Grantee:Camila Neves Lange
Support Opportunities: Scholarships in Brazil - Technical Training Program - Technical Training
FAPESP's process: 14/05151-0 - Arsenic and rice: monitoring and (bio)remediation studies for food safety
Grantee:Bruno Lemos Batista
Support Opportunities: Research Grants - Young Investigators Grants