Agritrop
Accueil

Validation of methods for the detection and quantification of engineered nanoparticles in food

Linsinger T.P.J., Chaudhry Q., Dehalu V., Delahaut P., Dudkiewicz A., Grombe Ringo, Von der Kammer Frank, Larsen Erik H., Legros Samuel, Loeschner Katrin, Peters R., Ramsch R., Roebben G., Tiede K., Weigel S.. 2013. Validation of methods for the detection and quantification of engineered nanoparticles in food. Food Chemistry, 138 (2-3) : 1959-1966.

Article de revue ; Article de revue à facteur d'impact
[img] Version publiée - Anglais
Accès réservé aux personnels Cirad
Utilisation soumise à autorisation de l'auteur ou du Cirad.
document_574860.pdf

Télécharger (175kB)

Quartile : Q1, Sujet : FOOD SCIENCE & TECHNOLOGY / Quartile : Q1, Sujet : CHEMISTRY, APPLIED / Quartile : Q2, Sujet : NUTRITION & DIETETICS

Résumé : The potential impact of nanomaterials on the environment and on human health has already triggered legislation requiring labelling of products containing nanoparticles. However, so far, no validated analytical methods for the implementation of this legislation exist. This paper outlines a generic approach for the validation of methods for detection and quantification of nanoparticles in food samples. It proposes validation of identity, selectivity, precision, working range, limit of detection and robustness, bearing in mind that each "result" must include information about the chemical identity, particle size and mass or particle number concentration. This has an impact on testing for selectivity and trueness, which also must take these aspects into consideration. Selectivity must not only be tested against matrix constituents and other nanoparticles, but it shall also be tested whether the methods apply equally well to particles of different suppliers. In trueness testing, information whether the particle size distribution has changed during analysis is required. Results are largely expected to follow normal distributions due to the expected high number of particles. An approach of estimating measurement uncertainties from the validation data is given.

Classification Agris : Q02 - Traitement et conservation des produits alimentaires
Q04 - Composition des produits alimentaires
U30 - Méthodes de recherche

Champ stratégique Cirad : Axe 3 (2005-2013) - Alimentation accessible et de qualité

Auteurs et affiliations

  • Linsinger T.P.J., IRRM (BEL)
  • Chaudhry Q., The Food and Environment Research Agency (GBR)
  • Dehalu V., CER Groupe (BEL)
  • Delahaut P., CER Groupe (BEL)
  • Dudkiewicz A., The Food and Environment Research Agency (GBR)
  • Grombe Ringo, IRRM (BEL)
  • Von der Kammer Frank, Universität Wien (AUT)
  • Larsen Erik H., Technical University of Denmark (DNK)
  • Legros Samuel, Universität Wien (AUT)
  • Loeschner Katrin, Technical University of Denmark (DNK)
  • Peters R., RIKILT (NLD)
  • Ramsch R., CSIC (ESP)
  • Roebben G., IRRM (BEL)
  • Tiede K., The Food and Environment Research Agency (GBR)
  • Weigel S., RIKILT (NLD)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/574860/)

Voir la notice (accès réservé à Agritrop) Voir la notice (accès réservé à Agritrop)

[ Page générée et mise en cache le 2024-05-02 ]