Evidence map›Paper›PMID 31323928›Full record

ArticleNanomaterials (Basel, Switzerland)2019

Controlled Preparation of Nanoparticle Gradient Materials by Diffusion.

Andreas Spinnrock, Max Martens, Florian Enders, Klaus Boldt, Helmut Cölfen

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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.

Andreas SpinnrockDepartment of Chemistry, University of Konstanz, 78457 Konstanz, Germany.
Max MartensDepartment of Applied Science (Materials Science & Engineering), Fontys University of Applied Science, 5612 MA Eindhoven, The Netherlands.ORCID 0000-0001-9138-4297
Florian EndersDepartment of Chemistry, University of Konstanz, 78457 Konstanz, Germany.ORCID 0000-0002-5957-0791
Klaus BoldtDepartment of Chemistry, University of Konstanz, 78457 Konstanz, Germany.
Helmut CölfenDepartment of Chemistry, University of Konstanz, 78457 Konstanz, Germany. helmut.coelfen@uni-konstanz.de.ORCID 0000-0002-1148-0308

Funding

Carl-Zeiss-Stiftung -Deutsche Forschungsgemeinschaft BO 4516/3-1Erasmus+ -Fonds der Chemischen Industrie -Zukunftskolleg Konstanz -
6 · The paper itself

Abstract

Nanoparticle gradient materials combine a concentration gradient of nanoparticles with a macroscopic matrix. This way, specific properties of nanoscale matter can be transferred to bulk materials. These materials have great potential for applications in optics, electronics, and sensors. However, it is challenging to monitor the formation of such gradient materials and prepare them in a controlled manner. In this study, we present a novel universal approach for the preparation of this material class using diffusion in an analytical ultracentrifuge. The nanoparticles diffuse into a molten thermoreversible polymer gel and the process is observed in real-time by measuring the particle concentrations along the length of the material to establish a systematic understanding of the gradient generation process. We extract the apparent diffusion coefficients using Fick's second law of diffusion and simulate the diffusion behavior of the particles. When the desired concentration gradient is achieved the polymer solution is cooled down to fix the concentration gradient in the formed gel phase and obtain a nanoparticle gradient material with the desired property gradient. Gradients of semiconductor nanoparticles with different sizes, fluorescent silica particles, and spherical superparamagnetic iron oxide nanoparticles are presented. This method can be used to produce tailored nanoparticle gradient materials with a broad range of physical properties in a simple and predictable way.

Indexed as

compositesdiffusionfunctional materialsgradientsnanoparticles

Identifiers

PMID31323928
PMCPMC6669869

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.