Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2022Nanoparticle Tracking in Single‐Antiresonant‐Element Fiber for High‐Precision Size Distribution Analysis of Mono‐ and Polydisperse Samples26citations

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Chart of shared publication
Förster, Ronny
1 / 1 shared
Schmidt, Markus
1 / 22 shared
Nissen, Mona
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Hauswald, Walter
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Wieduwilt, Torsten
1 / 4 shared
Chart of publication period
2022

Co-Authors (by relevance)

  • Förster, Ronny
  • Schmidt, Markus
  • Nissen, Mona
  • Hauswald, Walter
  • Wieduwilt, Torsten
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article

Nanoparticle Tracking in Single‐Antiresonant‐Element Fiber for High‐Precision Size Distribution Analysis of Mono‐ and Polydisperse Samples

  • Förster, Ronny
  • Schmidt, Markus
  • Nissen, Mona
  • Hauswald, Walter
  • Jiang, Shiqi
  • Wieduwilt, Torsten
Abstract

<jats:title>Abstract</jats:title><jats:p>Accurate determination of the size distribution of nanoparticle ensembles remains a challenge in nanotechnology‐related applications due to the limitations of established methods. Here, a microstructured fiber‐assisted nanoparticle tracking analysis (FaNTA) realization is introduced that breaks existing limitations through the recording of exceptionally long trajectories of rapidly diffusing polydisperse nanoparticles, resulting in excellent sizing precision and unprecedented separation capabilities of bimodal nanoparticle mixtures. An effective‐single‐mode antiresonant‐element fiber allows to efficiently confine nanoparticles in a light‐guiding microchannel and individually track them over more than 1000 frames, while aberration‐free imaging is experimentally confirmed by cross‐correlation analysis. Unique features of the approach are (i) the highly precise determination of the size distribution of monodisperse nanoparticle ensembles (only 7% coefficient of variation) and (ii) the accurate characterization of individual components in a bimodal mixture with very close mean diameters, both experimentally demonstrated for polymer nanospheres. The outstanding performance of the FaNTA realization can be quantified by introducing a new model for the bimodal separation index. Since FaNTA is applicable to all types of nano‐objects down to sub‐20 nm diameters, the method will improve the precision standard of mono‐ and polydisperse nanoparticle samples such as nano‐plastics or extracellular vesicles.</jats:p>

Topics
  • nanoparticle
  • impedance spectroscopy
  • polymer