4.7 Article

Optimisation and application of an analytical approach for the characterisation of TiO2 nanoparticles in food additives and pharmaceuticals by single particle inductively coupled plasma-mass spectrometry

期刊

TALANTA
卷 224, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.talanta.2020.121873

关键词

spICFMS; TiO2 nanoparticle; E171; Threshold; Data processing; Food & pharmaceutical

资金

  1. French Alternative Energies and Atomic Energy Commission (CEA)
  2. French Agency for Food, Environmental and Occupational Health Safety (ANSES)

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This study optimized an analytical method for characterizing TiO2 nanoparticles in food additives and pharmaceuticals, finding that self-aspiration for sample intake and using the concentration-based method for transport efficiency were the most suitable. The Excel spreadsheet developed for this study provided results closer to the reference value than the ICP-MS software. Analysis of food samples and pharmaceuticals showed differences in the average diameter and nanoparticular fraction of TiO2 particles.
This study was designed to optimise an analytical method for characterising TiO2 nanoparticles (NPs) in food additives and pharmaceuticals by inductively coupled plasma-mass spectrometry in single particle mode (spICP-MS). Several parameters, including transport efficiency (TE), were assessed and optimised using the NM-100 reference material. We found that self-aspiration for sample intake and use of the concentration-based method for TE was optimal for characterising TiO2 NPs. No spectral interference was observed with either Ti-49 or Ti-48 isotopes. The optimised Excel spreadsheet developed for this study not only provided additional parameters but gave results closer to the NM-100 reference value than the ICP-MS software. The method was then applied to the analysis of a selection of food samples and pharmaceuticals. The average diameter of TiO2 particles ranged from 86 to 179 nm in the food samples and from 131 to 197 nm in the pharmaceuticals, while the nanoparticular fraction was between 19 and 68% in food, and between 13 and 45% in pharmaceuticals.

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