Morphological analysis in rice flakes

• Autor(a) principal: Almeida, Raphael Lucas Jacinto
• Data de Publicação: 2020
• Outros Autores: Santos, Newton Carlos, Pereira, Tamires dos Santos, Silva, Virginia Mirtes de alcântara, Silva, Luana Nascimento, Santiago, Ângela Maria, Moreira, Flávia Isabely Nunes, Silva, Lucas Rodolfo Inácio da, Borges, Elder Miguel Esperidião Silva, Queiroga, Anna Paula Rocha de
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Research, Society and Development
• Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/1978
• topic: Granulometria; Sem glúten; Controle de qualidade.; Granulometria; Sin gluten; Control de calidad.; Granulometry; Without gluten; Quality control.

The objective of this paper was to determine the morphological profile of rice flakes marketed and produced in Paraíba-PB, thus verifying if their grain size is within the quality parameters required by the legislation. Three different brands of rice flakes, collected from June to August 2019, were collected and evaluated for morphology. The marks were coded in order to preserve the manufacturers' identities, being identified in the present study by the numbering 1 to 3. Scanning electron micrographs were obtained on the Superscan microscope (SSX-550) under 10 kV acceleration with 2000x magnification. Differential particle size analysis was performed by sieving 50 g of rice flakes using a series of standardized sieves ranging from 9 to 100 mesh. The mathematical models adjusted to the experimental data were Gates-Gaudin-Schuhmann (GGS) and Rosin-Rammler-Bennet Model (RRB). The rice flakes have polyhedral or polygonal geometry, where all surfaces are multifaceted, smooth surface, without cracking or cavities, and it is possible to notice differences in particle size compared to manufacturers, which was confirmed by particle size analysis. Only one of the manufacturers had adequate particle diameter. Among the applied mathematical models, the Rosin-Rammler-Bennet (RRB) model was the best fit to the experimental data with determination coefficient (R2) higher than 0.98.