Establishing and testing a robot-based platform to enable the automated production of nanoparticles in a flexible and modular way.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
15 Jul 2023
Historique:
received: 01 04 2023
accepted: 10 07 2023
medline: 17 7 2023
pubmed: 16 7 2023
entrez: 15 7 2023
Statut: epublish

Résumé

Robotic systems facilitate relatively simple human-robot interaction for non-robot experts, providing the flexibility to implement different processes. In this context, shorter process times, as well as an increased product and process quality could be achieved. Robots short time-consuming processes, take over ergonomically unfavorable tasks and work efficiently all the time. In addition, flexible production is possible while maintaining or even increasing safety. This study describes the successful development of a dual-arm robot-based modular infrastructure and the establishment of an automated process for the reproducible production of nanoparticles. As proof of concept, a manual synthesis protocol for silica nanoparticle preparation with a diameter of about 200 nm as building blocks for photonic crystals was translated into a fully automated process. All devices and components of the automated system were optimized and adapted according to the synthesis requirements. To demonstrate the benefit of the automated nanoparticle production, manual (synthesis done by lab technicians) and automated syntheses were benchmarked. To this end, different processing parameters (time of synthesis procedure, accuracy of dosage etc.) and the properties of the produced nanoparticles were compared. We demonstrate that the use of the robot not only increased the synthesis accuracy and reproducibility but reduced the personnel time and costs up to 75%.

Identifiants

pubmed: 37454142
doi: 10.1038/s41598-023-38535-6
pii: 10.1038/s41598-023-38535-6
pmc: PMC10349877
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

11440

Subventions

Organisme : Bundesministerium für Bildung und Forschung
ID : 03VNE1049B

Informations de copyright

© 2023. The Author(s).

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Auteurs

Sofia Dembski (S)

Fraunhofer Institute for Silicate Research ISC, Neunerplatz 2, 97082, Würzburg, Germany. sofia.dembski@isc.fraunhofer.de.
Department of Tissue Engineering and Regenerative Medicine TERM, University Hospital Würzburg, Röntgenring 11, 97070, Würzburg, Germany. sofia.dembski@isc.fraunhofer.de.

Thomas Schwarz (T)

Fraunhofer Institute for Silicate Research ISC, Neunerplatz 2, 97082, Würzburg, Germany.

Maximilian Oppmann (M)

Fraunhofer Institute for Silicate Research ISC, Neunerplatz 2, 97082, Würzburg, Germany.

Shahbaz Tareq Bandesha (ST)

Fraunhofer Institute for Silicate Research ISC, Neunerplatz 2, 97082, Würzburg, Germany.

Jörn Schmid (J)

Goldfuß Engineering GmbH, Laboratory Automation, 72336, Balingen, Germany.

Sarah Wenderoth (S)

Fraunhofer Institute for Silicate Research ISC, Neunerplatz 2, 97082, Würzburg, Germany.

Karl Mandel (K)

Fraunhofer Institute for Silicate Research ISC, Neunerplatz 2, 97082, Würzburg, Germany.
Department of Chemistry and Pharmacy, Friedrich-Alexander University Erlangen-Nürnberg (FAU), 91058, Erlangen, Germany.

Jan Hansmann (J)

Fraunhofer Institute for Silicate Research ISC, Neunerplatz 2, 97082, Würzburg, Germany.
Faculty of Electrical Engineering, University of Applied Sciences Würzburg-Schweinfurt, 97421, Schweinfurt, Germany.

Classifications MeSH