Evidence map›Paper›PMID 39035945›Full record

ArticleACS omega2024

Characterization of Nanoparticles in Ethanolic Suspension Using Single Particle Inductively Coupled Plasma Mass Spectrometry: Application for Cementitious Systems.

Steffen Hellmann, Teba Gil-Díaz, Marcus Böhm, Dirk Merten, Sylvain Grangeon, Fabienne Warmont, Sophie Unbehau, Thomas Sowoidnich, Thorsten Schäfer

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Steffen HellmannFriedrich Schiller University Jena, Institute of Geosciences, Applied Geology, Burgweg 11, 07749 Jena, Germany.ORCID https://orcid.org/0000-0001-7927-9240
Teba Gil-DíazFriedrich Schiller University Jena, Institute of Geosciences, Applied Geology, Burgweg 11, 07749 Jena, Germany.ORCID https://orcid.org/0000-0003-2320-2708
Marcus BöhmFriedrich Schiller University Jena, Institute of Geosciences, Applied Geology, Burgweg 11, 07749 Jena, Germany.
Dirk MertenFriedrich Schiller University Jena, Institute of Geosciences, Applied Geology, Burgweg 11, 07749 Jena, Germany.
Sylvain GrangeonBRGM, 3 Avenue Claude-Guillemin, F-45060 Orléans, France.ORCID https://orcid.org/0000-0002-5018-3015
Fabienne WarmontICMN, 1B, rue de la Férollerie CS40059, F-45071 Cedex 2 Orléans, France.
Sophie UnbehauBauhaus-Universität Weimar, Institute for Building Materials, Coudraystr. 11, 99423 Weimar, Germany.
Thomas SowoidnichBauhaus-Universität Weimar, Institute for Building Materials, Coudraystr. 11, 99423 Weimar, Germany.
Thorsten SchäferFriedrich Schiller University Jena, Institute of Geosciences, Applied Geology, Burgweg 11, 07749 Jena, Germany.ORCID https://orcid.org/0000-0002-7133-8717

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single particle inductively coupled plasma mass spectrometry (spICP-MS) is a well-established technique to characterize the size, particle number concentration (PNC), and elemental composition of engineered nanoparticles (NPs) and colloids in aqueous suspensions. However, a method capable of directly analyzing water-sensitive or highly reactive NPs in alcoholic suspension has not been reported yet. Here, we present a novel spICP-MS method for characterizing the main cement hydration product, i.e., calcium-silicate-hydrate (C-S-H) NPs, in ethanolic suspensions, responsible for cement strength. The method viability was tested on a wide range of NP compositions and sizes (i.e., from Au, SiO

Identifiers

PMID39035945
PMCPMC11256340

What OpenQuestion holds

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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.