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Mineral profile exploratory analysis for rice grains traceability.

Camila Neves Lange1, Lucilena Rebelo Monteiro2, Bruna Moreira Freire1

  • 1Centro de Ciências Naturais e Humanas, Universidade Federal do ABC, Rua Santa Adélia 166, Vila São Pedro, Santo Andre, SP, Brazil.

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Summary

This study uses elemental analysis and arsenic speciation to trace rice origin. The findings enable accurate geographical discrimination of rice based on its unique mineral and arsenic profiles.

Keywords:
Arsenic speciesBrazilian riceGeographical discriminationPrincipal component analysisRice traceability

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Area of Science:

  • Agricultural Chemistry
  • Food Science
  • Analytical Chemistry

Background:

  • Establishing geographical traceability for rice is crucial for quality control and authenticity.
  • Analytical methods are needed to link rice composition to its specific origin.
  • Previous studies have explored various analytical techniques for rice origin identification.

Purpose of the Study:

  • To develop and validate an analytical model for rice geographical traceability.
  • To identify key elemental and arsenic species markers for origin discrimination.
  • To compare the proposed model with existing methods for rice origin identification.

Main Methods:

  • Analysis of major and trace elements in soil, rice grains, and husk.
  • Measurement of arsenic species in rice grains.
  • Application of Principal Component Analysis (PCA) for data evaluation.
  • Development of 3D models for elemental discrimination.

Main Results:

  • Principal Component Analysis identified key variables linked to geographical area, crop management, and producers.
  • Elemental composition of rice grains and husk, along with arsenic species, were decisive for discrimination.
  • Successful discrimination of rice was achieved at the city, producer, and variety levels.
  • The developed model demonstrated effectiveness in geographical traceability.

Conclusions:

  • Elemental profiling and arsenic speciation are powerful tools for rice geographical traceability.
  • The study provides a robust model for differentiating rice based on origin.
  • This approach supports authenticity verification and quality assurance in the rice supply chain.