| Registro completo |
| Provedor de dados: |
CIGR Journal
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| País: |
China
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| Título: |
VIS/NIR spectral signature for the Identification of Peanut Contamination of Powder Foods
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| Autores: |
Ghosh, Satyabrata
Domínguez, Teresa R. Cuadrado
Diezma, Belén
Lleó, Lourdes
Barreiro, Pilar
Lacarra, Teresa García
Roger, Jean-Michel
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| Data: |
2015-06-23
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| Ano: |
2015
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| Palavras-chave: |
Adulterant
Food analysis
Food composition
Food quality
Allergen
PCA
Spectroscopy
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| 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).
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.cigrjournal.org/index.php/Ejounral/article/view/3216
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| Editor: |
International Commission of Agricultural and Biosystems Engineering
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| Relação: |
http://www.cigrjournal.org/index.php/Ejounral/article/view/3216/2128
http://www.cigrjournal.org/index.php/Ejounral/article/downloadSuppFile/3216/1123
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| Formato: |
application/pdf
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| Fonte: |
Agricultural Engineering International: CIGR Journal; Vol 17, No 2 (2015): CIGR Journal
1682-1130
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