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

Linsinger, T. P. J. and Chaudhry, Q. and Dehalu, V. and Delahaut, P. and Dudkiewicz, A. and Grombe, R. and von der Kammer, F. and Larsen, E. H. and Legros, S. and Loeschner, K. and Peters, R. and Ramsch, R. and Roebben, G. and Tiede, K. and Weigel, S. (2013) Validation of methods for the detection and quantification of engineered nanoparticles in food. Food Chemistry, 138 (2). pp. 1959-1966. ISSN 0308-8146

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Item Type:Article
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Abstract

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.

Keywords:Nanomaterials Complex matrices Quality assurance Particle size distribution Number concentration
Subjects:D Veterinary Sciences, Agriculture and related subjects > D610 Food Science
F Physical Sciences > F110 Applied Chemistry
Divisions:College of Science > National Centre for Food Manufacturing
ID Code:16398
Deposited On:13 Jan 2015 13:40

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