Evidence map›Paper›PMID 36615976›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Remote Sensing of the Nano-Rheological Properties of Soft Materials Using Magnetic Nanoparticles and Magnetic AC Susceptometry.

Sobhan Sepehri, Johanna Andersson, Vincent Schaller, Cordula Grüttner, Mats Stading, Christer Johansson

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. 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

6 authors.

Sobhan SepehriDigital Systems, RISE Research Institutes of Sweden, Arvid Hedvalls Backe 4, SE-41133 Gothenburg, Sweden.ORCID 0000-0002-2145-1340
Johanna AnderssonBioeconomy and Health, RISE Research Institutes of Sweden, Frans Perssons väg 6, SE-40229 Gothenburg, Sweden.
Vincent SchallerDigital Systems, RISE Research Institutes of Sweden, Arvid Hedvalls Backe 4, SE-41133 Gothenburg, Sweden.
Cordula GrüttnerMicromod Partikeltechnologie GmbH, Friedrich-Barnewitz-Str. 4, D-18119 Rostock, Germany.
Mats StadingBioeconomy and Health, RISE Research Institutes of Sweden, Frans Perssons väg 6, SE-40229 Gothenburg, Sweden.
Christer JohanssonDigital Systems, RISE Research Institutes of Sweden, Arvid Hedvalls Backe 4, SE-41133 Gothenburg, Sweden.ORCID 0000-0002-6662-8023

Funding

Swedish Research Council 2016-00253
6 · The paper itself

Abstract

We have developed a nano-rheological characterization tool to extract the frequency- and scale-dependent rheological properties of soft materials during oral processing. Taking advantage of AC susceptometry, the dynamic magnetization of magnetic nanoparticles blended in the matrix material is measured. The magnetic AC susceptibility spectra of the particles are affected by the viscosity and mechanical modulus of the matrix material and provide the rheological properties of the matrix. Commercially available iron-oxide magnetic nanoparticles with 80 and 100 nm particle sizes are used as tracers in the frequency range of 1 Hz-10 kHz. The AC susceptibility is measured using two differentially connected coils, and the effects of the sample temperature and distance with respect to the detection coils are investigated. The developed measurement setup shows the feasibility of remote nano-rheological measurements up to 2 cm from the coil system, which can be used to, e.g., monitor the texture of matrix materials during oral processing.

Indexed as

AC susceptibilitymagnetic nanoparticlesnano-rheologysoft materialsviscoelastic properties

Identifiers

PMID36615976
PMCPMC9823654

What OpenQuestion holds

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LicenceCC BY
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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.