Evidence map›Paper›PMID 32664525›Full record

ArticleMaterials (Basel, Switzerland)2020

Particle Size Distribution of Bimodal Silica Nanoparticles: A Comparison of Different Measurement Techniques.

Mohammed A Al-Khafaji, Anikó Gaál, András Wacha, Attila Bóta, Zoltán Varga

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Green synthesis of silver nanoparticles usingFrontiers in pharmacology · 2026
    Article
  3. Review
  4. Bioactive Molecules of MicroalgaeBioinorganic chemistry and applications · 2025
    Article
  5. Article
  6. Article
  7. Nanotherapeutic Heterogeneity: Sources, Effects, and Solutions.Small (Weinheim an der Bergstrasse, Germany) · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

5 authors.

Mohammed A Al-KhafajiInstitute of Materials and Environmental Chemistry, Research Centre for Natural Sciences, H-1117 Budapest, Hungary.
Anikó GaálInstitute of Materials and Environmental Chemistry, Research Centre for Natural Sciences, H-1117 Budapest, Hungary.
András WachaInstitute of Materials and Environmental Chemistry, Research Centre for Natural Sciences, H-1117 Budapest, Hungary.ORCID 0000-0002-9609-0893
Attila BótaInstitute of Materials and Environmental Chemistry, Research Centre for Natural Sciences, H-1117 Budapest, Hungary.
Zoltán VargaInstitute of Materials and Environmental Chemistry, Research Centre for Natural Sciences, H-1117 Budapest, Hungary.

Funding

European Metrology Programme for Innovation and Research 18HLT01 METVES IINemzeti Kutatási Fejlesztési és Innovációs Hivatal K131657Nemzeti Kutatási Fejlesztési és Innovációs Hivatal PD121326Nemzeti Kutatási Fejlesztési és Innovációs Hivatal PD124451
6 · The paper itself

Abstract

Silica nanoparticles (SNPs) belong to the most widely produced nanomaterials nowadays. Particle size distribution (PSD) is a key property of SNPs that needs to be accurately determined for a successful application. Many single particle and ensemble characterization methods are available for the determination of the PSD of SNPs, each having different advantages and limitations. Since most preparation protocols for SNPs can yield bimodal or heterogeneous PSDs, the capability of a given method to resolve bimodal PSD is of great importance. In this work, four different methods, namely transmission electron microscopy (TEM), dynamic light scattering (DLS), microfluidic resistive pulse sensing (MRPS) and small-angle X-ray scattering (SAXS) were used to characterize three different, inherently bimodal SNP samples. We found that DLS is unsuitable to resolve bimodal PSDs, while MRPS has proven to be an accurate single-particle size and concentration characterization method, although it is limited to sizes above 50 nm. SAXS was found to be the only method which provided statistically significant description of the bimodal PSDs. However, the analysis of SAXS curves becomes an ill-posed inverse mathematical problem for broad size distributions, therefore the use of orthogonal techniques is required for the reliable description of the PSD of SNPs.

Indexed as

light scatteringmicrofluidic resistive pulse sensingsilica nanoparticlesize distributionsmall-angle X-ray scattering

Identifiers

PMID32664525
PMCPMC7412153

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.