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Detection of adulterations with different grains in wheat products based on the hyperspectral image technique: The specific cases of flour and bread

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Detection of adulterations with different grains in wheat products based on the hyperspectral image technique: The specific cases of flour and bread

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Verdú Amat, S.; Vásquez, F.; Grau Meló, R.; Ivorra Martínez, E.; Sánchez Salmerón, AJ.; Barat Baviera, JM. (2016). Detection of adulterations with different grains in wheat products based on the hyperspectral image technique: The specific cases of flour and bread. Food Control. 62:373-380. doi:10.1016/j.foodcont.2015.11.002

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/92323

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Title: Detection of adulterations with different grains in wheat products based on the hyperspectral image technique: The specific cases of flour and bread
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Tecnología de Alimentos - Departament de Tecnologia d'Aliments
Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
[EN] The objective of this study was to test the capability of a SW-NIR hyperspectral image technique to detect adulterations in wheat flour and bread with cheap grains, such us sorghum, oats and corn, and to compare the ...[+]
Subjects: Bread , Adulteration , Image analysis , MSPC , Hyperspectral
Copyrigths: Reserva de todos los derechos
Source:
Food Control. (issn: 0956-7135 )
DOI: 10.1016/j.foodcont.2015.11.002
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.foodcont.2015.11.002
Type: Artículo

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