Optically Sensitive and Magnetically Identifiable Supraparticles as Indicators of Surface Abrasion.

abrasion indicator identification magnetic particle spectroscopy supraparticles surface coatings

Journal

Nano letters
ISSN: 1530-6992
Titre abrégé: Nano Lett
Pays: United States
ID NLM: 101088070

Informations de publication

Date de publication:
13 04 2022
Historique:
pubmed: 22 3 2022
medline: 15 4 2022
entrez: 21 3 2022
Statut: ppublish

Résumé

Identifying and ensuring the integrity of products plays an important role in today's globalized world. Miniaturized information taggants in the packaging surface are therefore required to monitor the product itself instead of applying external labels. Ideally, multiple types of information are stored in such additives. In this work, micrometer-sized core-shell particles (supraparticles) were developed to provide material surfaces with both an identifier and a surface abrasion indication functionality. The core of the supraparticles contains iron oxide nanoparticles that allow identification of the surface with a spectral magnetic code resolved by magnetic particle spectroscopy. The fluorescent silica nanoparticles in the supraparticle shell can be abraded by mechanical stress and resolved by fluorescence spectroscopy. This provides information about the mechanical integrity of the system. The application as surfaces, that contain several types of information in one supraparticle, was demonstrated here by incorporating such bifunctional supraparticles as additives in a surface coating.

Identifiants

pubmed: 35311292
doi: 10.1021/acs.nanolett.1c04773
doi:

Substances chimiques

Silicon Dioxide 7631-86-9

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2762-2768

Auteurs

Sarah Wenderoth (S)

Chair of Chemical Technology of Materials Synthesis, Julius-Maximilians-University Würzburg, Röntgenring 11, D97070 Würzburg, Germany.
Fraunhofer-Institute for Silicate Research ISC, Neunerplatz 2, D97082 Würzburg, Germany.

Stephan Müssig (S)

Departement of Chemistry and Pharmacy, Inorganic Chemistry, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Egerlandstrasse 1, D91058 Erlangen, Germany.

Johannes Prieschl (J)

Departement of Chemistry and Pharmacy, Inorganic Chemistry, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Egerlandstrasse 1, D91058 Erlangen, Germany.

Emilie Genin (E)

University Bordeaux, ISM, UMR-5255, F-33400 Talence, France.
CNRS, ISM, UMR5255, F-33400 Talence, France.

Karine Heuzé (K)

University Bordeaux, ISM, UMR-5255, F-33400 Talence, France.
CNRS, ISM, UMR5255, F-33400 Talence, France.

Florian Fidler (F)

Magnetic Resonance and X-ray Imaging Department, Development Center X-ray Technology, Fraunhofer-Institute for Integrated Circuits IIS, Am Hubland, 97074 Würzburg, Germany.

Daniel Haddad (D)

Magnetic Resonance and X-ray Imaging Department, Development Center X-ray Technology, Fraunhofer-Institute for Integrated Circuits IIS, Am Hubland, 97074 Würzburg, Germany.

Susanne Wintzheimer (S)

Fraunhofer-Institute for Silicate Research ISC, Neunerplatz 2, D97082 Würzburg, Germany.
Departement of Chemistry and Pharmacy, Inorganic Chemistry, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Egerlandstrasse 1, D91058 Erlangen, Germany.

Karl Mandel (K)

Fraunhofer-Institute for Silicate Research ISC, Neunerplatz 2, D97082 Würzburg, Germany.
Departement of Chemistry and Pharmacy, Inorganic Chemistry, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Egerlandstrasse 1, D91058 Erlangen, Germany.

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Classifications MeSH