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Provedor de dados:  CIGR Journal
País:  China
Título:  VIS/NIR spectral signature for the Identification of Peanut Contamination of Powder Foods
Autores:  Ghosh, Satyabrata
Domínguez, Teresa R. Cuadrado
Diezma, Belén
Lleó, Lourdes
Barreiro, Pilar
Lacarra, Teresa García
Roger, Jean-Michel
Data:  2015-06-23
Ano:  2015
Palavras-chave:  Adulterant
Food analysis
Food composition
Food quality
Resumo:  Visible-Near Infrared reflectance spectra are proposed for the characterization IRMM 481 peanuts in comparison to powder food materials: wheat flour, milk and cocoa. Multidimensional analysis of spectra of powder samples shows a specific NIR band centred at 1200 nm that identifies peanut compared to the rest of food ingredients, regardless compaction level and temperature. Spectral range 400-1000 nm is not robust for identification of blanched peanut. The visible range has shown to be reliable for the identification of pre-treatment and processing of unknown commercial peanut samples. A spectral index is proposed based on the combination of three wavelengths around 1200 nm that is 100% robust against pre-treatment (raw or blanched) and roasting (various temperatures and treatment duration).
Tipo:  Info:eu-repo/semantics/article
Idioma:  Inglês
Editor:  International Commission of Agricultural and Biosystems Engineering
Formato:  application/pdf
Fonte:  Agricultural Engineering International: CIGR Journal; Vol 17, No 2 (2015): CIGR Journal


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