Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
An iterative procedure for detecting foreign products in powder foods in NIR hyperspectral imaging spectroscopy: frauds and contaminations
Year:2016
Research Areas
  • Foodstuffs tecnology
Information
Abstract
Food adulteration is an issue of growing concern, specially delicate throughout early stages of food processing, regarding the control of the original ingredients included in the process and crossed contaminations. The use of Hyperspectral Imaging (HSI) to detect nuts contamination in powder food products is explored in this work . This study deals with two specific problems of using HSI for the detection of food adulterants: the low dose at which they need to be detected and a high similarity between the spectral NIR signatures of adulterating substances. A chemometric method, iss ued from a pharmaceutical context, is adapted and tested to detect and identify the presence of different species of oily seeds and nuts in a specific type of commercial wheat flour. The proposed approach was able to detect the presence of 5 kinds of con taminants in percentages from 1 to 5%, but not to identify the contaminant species.
International
Si
Congress
Hyperspectral Imaging & Applications Conference
960
Place
Coventry. UK
Reviewers
Si
ISBN/ISSN
Start Date
12/10/2016
End Date
13/10/2016
From page
1
To page
2
Hyperspectral Imaging & Applications Conference
Participants
  • Autor: Belen Diezma Iglesias (UPM)
  • Autor: Teresa Rosario Cuadrado Domínguez (UPM)
  • Autor: Pilar Barreiro Elorza (UPM)
  • Autor: Ana Herrero Langreo (UMR - ITAP, Irstea. Montpellier, France)
  • Autor: Lourdes Lleo Garcia (UPM)
  • Autor: N Gorretta (UMR - ITAP, Irstea. Montpellier, France)
  • Autor: JM Roger (UMR - ITAP, Irstea. Montpellier, France)
  • Autor: M Boiret (Technologie Servier, Orléans, France)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: LPF-TAGRALIA: Técnicas Avanzadas en Agroalimentación
  • Departamento: Ingeniería Agroforestal
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