Evidence map›Paper›PMID 33536722›Full record

ArticleFood control2021

Particle size analysis of pristine food-grade titanium dioxide and E 171 in confectionery products: Interlaboratory testing of a single-particle inductively coupled plasma mass spectrometry screening method and confirmation with transmission electron microscopy.

Otmar Geiss, Ivana Bianchi, Chiara Senaldi, Guillaume Bucher, Eveline Verleysen, Nadia Waegeneers, Frédéric Brassinne, Jan Mast, Katrin Loeschner, Janja Vidmar and 11 more

Abstract read
In one paragraph

Article in Food control, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Comparative electron microscopy particle sizing of TiOBeilstein journal of nanotechnology · 2024
    Article
  7. Fur flutter in fluid flow fends off foulers.Journal of the Royal Society, Interface · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Multi-Scale Modelling of Aggregation of TiONanomaterials (Basel, Switzerland) · 2022
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Otmar GeissEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.
Ivana BianchiEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.
Chiara SenaldiEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.
Guillaume BucherService Commun des Laboratoires (SCL), 3 Avenue Dr Albert Schweitzer, 33600, Pessac, France.
Eveline VerleysenSciensano, Trace Elements and Nanomaterials, Uccle/Tervuren, Belgium.
Nadia WaegeneersSciensano, Trace Elements and Nanomaterials, Uccle/Tervuren, Belgium.
Frédéric BrassinneSciensano, Trace Elements and Nanomaterials, Uccle/Tervuren, Belgium.
Jan MastSciensano, Trace Elements and Nanomaterials, Uccle/Tervuren, Belgium.
Katrin LoeschnerDivision for Food Technology, National Food Institute, Technical University of Denmark, Kemitorvet 201, DK-2800 Kgs. Lyngby, Denmark.
Janja VidmarDivision for Food Technology, National Food Institute, Technical University of Denmark, Kemitorvet 201, DK-2800 Kgs. Lyngby, Denmark.
Federica AureliIstituto Superiore di Sanità (ISS), National Institute of Health, Rome, Italy.
Francesco CubaddaIstituto Superiore di Sanità (ISS), National Institute of Health, Rome, Italy.
Andrea RaggiIstituto Superiore di Sanità (ISS), National Institute of Health, Rome, Italy.
Francesca IacoponiIstituto Superiore di Sanità (ISS), National Institute of Health, Rome, Italy.
Ruud PetersWageningen Food Safety Research (WFSR), Wageningen University & Research, Business Unit Contaminants & Toxins, Akkermaalsbos 2, 6708, WB Wageningen, the Netherlands.
Anna UndasWageningen Food Safety Research (WFSR), Wageningen University & Research, Business Unit Contaminants & Toxins, Akkermaalsbos 2, 6708, WB Wageningen, the Netherlands.
Alexandra MüllerMax Rubner-Institut (MRI), Federal Research Institute of Nutrition and Food, Department of Food Technology and Bioprocess Engineering, Haid-und-Neu-Straße 9, 76131, Karlsruhe, Germany.
Ann-Katrin MeinhardtMax Rubner-Institut (MRI), Federal Research Institute of Nutrition and Food, Department of Food Technology and Bioprocess Engineering, Haid-und-Neu-Straße 9, 76131, Karlsruhe, Germany.
Elke WalzMax Rubner-Institut (MRI), Federal Research Institute of Nutrition and Food, Department of Food Technology and Bioprocess Engineering, Haid-und-Neu-Straße 9, 76131, Karlsruhe, Germany.
Volker GräfMax Rubner-Institut (MRI), Federal Research Institute of Nutrition and Food, Department of Food Technology and Bioprocess Engineering, Haid-und-Neu-Straße 9, 76131, Karlsruhe, Germany.
Josefa Barrero-MorenoEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Titanium dioxide is a white colourant authorised as food additive E 171 in the EU, where it is used in a range of alimentary products. As these materials may contain a fraction of particulates with sizes below 100 nm and current EU regulation requires specific labelling of food ingredient to indicate the presence of engineered nanomaterials there is now a need for standardised and validated methods to appropriately size and quantify (nano)particles in food matrices. A single-particle inductively coupled plasma mass spectrometry (spICP-MS) screening method for the determination of the size distribution and concentration of titanium dioxide particles in sugar-coated confectionery and pristine food-grade titanium dioxide was developed. Special emphasis was placed on the sample preparation procedure, crucial to reproducibly disperse the particles before analysis. The transferability of this method was tested in an interlaboratory comparison study among seven experienced European food control and food research laboratories equipped with various ICP-MS instruments and using different software packages. The assessed measurands included the particle mean diameter, the most frequent diameter, the percentage of particles (in number) with a diameter below 100 nm, the particles' number concentration and a number of cumulative particle size distribution parameters (D0, D10, D50, D99.5, D99.8 and D100). The evaluated method's performance characteristics were, the within-laboratory precision, expressed as the relative repeatability standard deviation (RSDr), and the between-laboratory precision, expressed as the relative reproducibility standard deviation (RSDR). Transmission electron microscopy (TEM) was used as a confirmatory technique and served as the basis for bias estimation. The optimisation of the sample preparation step showed that when this protocol was applied to the relatively simple sample food matrices used in this study, bath sonication turned out to be sufficient to reach the highest, achievable degree of dispersed constituent particles. For the pristine material, probe sonication was required. Repeatability and reproducibility were below 10% and 25% respectively for most measurands except for the lower (D0) and the upper (D100) bound of the particle size distribution and the particle number concentration. The broader distribution of the lower and the upper bounds could be attributed to instrument-specific settings/setups (e.g. the timing parameters, the transport efficiency, type of mass-spectrometer) and software-specific data treatment algorithms. Differences in the upper bound were identified as being due to the non-harmonised application of the upper counting limit. Reporting D99.5 or D99.8 instead of the effectively largest particle diameter (D100) excluded isolated large particles and considerably improved the reproducibility. The particle number-concentration was found to be influenced by small differences in the sample preparation procedure. The comparison of these results with those obtained using electron microscopy showed that the mean and median particle diameter was, in all cases, higher when using spICP-MS. The main reason for this was the higher size detection limit for spICP-MS plus the fact that some of the analysed particles remained agglomerated/aggregated after sonication. Single particle ICP-MS is a powerful screening technique, which in many cases provides sufficient evidence to confirm the need to label a food product as containing (engineered) titanium dioxide nanomaterial according to the current EU regulatory requirements. The overall positive outcome of the method performance evaluation and the current lack of alternative standardised procedures, would indicate this method as being a promising candidate for a full validation study.

Indexed as

ConfectioneryE 171Food-grade titanium dioxideSingle-particle ICP-MSValidation

Identifiers

PMID33536722
PMCPMC7730118

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.