Data/hora: 04/06/2024 03:49:49

Provedor de dados: | 111
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; Allergen; PCA; Spectroscopy.
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
Identificador: | http://www.cigrjournal.org/index.php/Ejounral/article/view/3216
Editor: | International Commission of Agricultural and Biosystems Engineering

Relação:

http://www.cigrjournal.org/index.php/Ejounral/article/view/3216/2128

http://www.cigrjournal.org/index.php/Ejounral/article/downloadSuppFile/3216/1123

Formato: | application/pdf

Fonte:

Agricultural Engineering International: CIGR Journal; Vol 17, No 2 (2015): CIGR Journal

1682-1130