Evidence map›Paper›PMID 36131777›Full record

ReviewNanoscale advances2022

Using small-angle scattering to guide functional magnetic nanoparticle design.

Dirk Honecker, Mathias Bersweiler, Sergey Erokhin, Dmitry Berkov, Karine Chesnel, Diego Alba Venero, Asma Qdemat, Sabrina Disch, Johanna K Jochum, Andreas Michels and 1 more

Abstract readReview
In one paragraph

Review in Nanoscale advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Journal of applied crystallography · 2024
    Article
  7. Article
  8. Article
  9. Numerical modeling andNanoscale · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Multiscale magnetization in cobalt-doped ferrite nanocubes.Journal of applied crystallography · 2022
    Article
  17. Article
  18. Article
  19. Review
  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

11 authors.

Dirk HoneckerISIS Neutron and Muon Facility, Rutherford Appleton Laboratory Didcot OX11 0QX UK dirk.honecker@stfc.ac.uk.ORCID https://orcid.org/0000-0003-0763-982X
Mathias BersweilerDepartment of Physics and Materials Science, University of Luxembourg 162A Avenue de La Faïencerie L-1511 Luxembourg Grand Duchy of Luxembourg.ORCID https://orcid.org/0000-0002-8641-3337
Sergey ErokhinGeneral Numerics Research Lab Moritz-von-Rohr-Straße 1A D-07745 Jena Germany.
Dmitry BerkovGeneral Numerics Research Lab Moritz-von-Rohr-Straße 1A D-07745 Jena Germany.ORCID https://orcid.org/0000-0003-3883-5161
Karine ChesnelBrigham Young University, Department of Physics and Astronomy Provo Utah 84602 USA.
Diego Alba VeneroISIS Neutron and Muon Facility, Rutherford Appleton Laboratory Didcot OX11 0QX UK dirk.honecker@stfc.ac.uk.ORCID https://orcid.org/0000-0002-5612-8076
Asma QdematUniversität zu Köln, Department für Chemie Luxemburger Straße 116 D-50939 Köln Germany.
Sabrina DischUniversität zu Köln, Department für Chemie Luxemburger Straße 116 D-50939 Köln Germany.ORCID https://orcid.org/0000-0002-4565-189X
Johanna K JochumHeinz Maier-Leibnitz Zentrum (MLZ), Technische Universität München Lichtenbergstraße 1 85748 Garching Germany.ORCID https://orcid.org/0000-0002-0066-0944
Andreas MichelsDepartment of Physics and Materials Science, University of Luxembourg 162A Avenue de La Faïencerie L-1511 Luxembourg Grand Duchy of Luxembourg.ORCID https://orcid.org/0000-0002-2786-295X
Philipp BenderHeinz Maier-Leibnitz Zentrum (MLZ), Technische Universität München Lichtenbergstraße 1 85748 Garching Germany.ORCID https://orcid.org/0000-0002-2492-3956

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic nanoparticles offer unique potential for various technological, biomedical, or environmental applications thanks to the size-, shape- and material-dependent tunability of their magnetic properties. To optimize particles for a specific application, it is crucial to interrelate their performance with their structural and magnetic properties. This review presents the advantages of small-angle X-ray and neutron scattering techniques for achieving a detailed multiscale characterization of magnetic nanoparticles and their ensembles in a mesoscopic size range from 1 to a few hundred nanometers with nanometer resolution. Both X-rays and neutrons allow the ensemble-averaged determination of structural properties, such as particle morphology or particle arrangement in multilayers and 3D assemblies. Additionally, the magnetic scattering contributions enable retrieving the internal magnetization profile of the nanoparticles as well as the inter-particle moment correlations caused by interactions within dense assemblies. Most measurements are used to determine the time-averaged ensemble properties, in addition advanced small-angle scattering techniques exist that allow accessing particle and spin dynamics on various timescales. In this review, we focus on conventional small-angle X-ray and neutron scattering (SAXS and SANS), X-ray and neutron reflectometry, gracing-incidence SAXS and SANS, X-ray resonant magnetic scattering, and neutron spin-echo spectroscopy techniques. For each technique, we provide a general overview, present the latest scientific results, and discuss its strengths as well as sample requirements. Finally, we give our perspectives on how future small-angle scattering experiments, especially in combination with micromagnetic simulations, could help to optimize the performance of magnetic nanoparticles for specific applications.

Identifiers

PMID36131777
PMCPMC9417585

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.