Journal article
Validation of methods for the detection and quantification of engineered nanoparticles in food
European Commission Joint Research Centre Institute1
Fera Science Ltd.2
CER Groupe, Division Hormonologie3
University of Vienna4
National Food Institute, Technical University of Denmark5
Division of Food Chemistry, National Food Institute, Technical University of Denmark6
Institute of Food Safety7
CSIC/Institut de Química Avanç ada de Catalunya8
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.
Language: | English |
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Year: | 2013 |
Pages: | 1959-1966 |
ISSN: | 18737072 and 03088146 |
Types: | Journal article |
DOI: | 10.1016/j.foodchem.2012.11.074 |
ORCIDs: | Löschner, Katrin |
Complex matrices Nanomaterials Number concentration Particle size distribution Quality assurance SDG 3 - Good Health and Well-being