Evidence map›Paper›PMID 39149527›Full record

ArticleCurrent research in food science2024

Correct labelling? A full analytical pathway for silica and titania particles in food products.

Christina Glaubitz, Amélie Bazzoni, Christoph Neururer, Raphael Locher, Kata Dorbić, Jessica Caldwell, Miguel Spuch-Calvar, Laura Rodriguez Lorenzo, Sandor Balog, Vincent Serneels and 2 more

Abstract read
In one paragraph

Article in Current research in food science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Christina GlaubitzAdolphe Merkle Institute, University of Fribourg, Chemin des Verdiers 4, 1700, Fribourg, Switzerland.
Amélie BazzoniAdolphe Merkle Institute, University of Fribourg, Chemin des Verdiers 4, 1700, Fribourg, Switzerland.
Christoph NeururerGeology Department, University of Fribourg, Chemin Du Musée 4, 1700, Fribourg, Switzerland.
Raphael LocherChemistry Department, University of Fribourg, Chemin Du Musée 9, 1700, Fribourg, Switzerland.
Kata DorbićChemistry Department, University of Fribourg, Chemin Du Musée 9, 1700, Fribourg, Switzerland.
Jessica CaldwellAdolphe Merkle Institute, University of Fribourg, Chemin des Verdiers 4, 1700, Fribourg, Switzerland.
Miguel Spuch-CalvarTeamNanoTech / Magnetic Materials Group, CINBIO-Universidade de Vigo, Campus Universitario Lagoas Marcosende, 36310, Vigo, Spain.
Laura Rodriguez LorenzoINL - International Iberian Nanotechnology Laboratory, Avda. Mestre José Veiga S/n, Braga, Portugal.
Sandor BalogAdolphe Merkle Institute, University of Fribourg, Chemin des Verdiers 4, 1700, Fribourg, Switzerland.
Vincent SerneelsGeology Department, University of Fribourg, Chemin Du Musée 4, 1700, Fribourg, Switzerland.
Barbara Rothen-RutishauserAdolphe Merkle Institute, University of Fribourg, Chemin des Verdiers 4, 1700, Fribourg, Switzerland.
Alke Petri FinkAdolphe Merkle Institute, University of Fribourg, Chemin des Verdiers 4, 1700, Fribourg, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introducing particles as additives, specifically engineered nanoparticles, in the food industry has improved food properties. Since 2014, alongside the presence of these added particles, there has been a mandatory requirement to disclose if those additives are nanomaterials in the ingredient list of food products. However, detecting and characterizing nanomaterials is time-consuming due to their small sizes, low concentrations, and diverse food matrices. We present a streamlined analytical process to detect the presence of silica and titania particles in food, applicable for food regulation and control. Using X-ray Fluorescence Spectrometry for screening enables quick categorization of inorganic particles labeling accuracy, distinguishing products with and without them. For the former, we develop matrix-independent digestion and introduce time-effective statistics to evaluate the median particle size using a reduced number of particles counted, ensuring accurate "nano" labeling. Through the implementation of this work, our objective is to simplify and facilitate verifying the proper labeling of food products.

Indexed as

Food additivesFood productsNanoparticlesParticle analysisX-ray fluorescence

Identifiers

PMID39149527
PMCPMC11324996

What OpenQuestion holds

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LicenceCC BY-NC
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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.