Evidence map›Paper›PMID 37454142›Full record

ArticleScientific reports2023

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

Sofia Dembski, Thomas Schwarz, Maximilian Oppmann, Shahbaz Tareq Bandesha, Jörn Schmid, Sarah Wenderoth, Karl Mandel, Jan Hansmann

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Intelligent Systems for Inorganic Nanomaterial Synthesis.Nanomaterials (Basel, Switzerland) · 2025
    Review
  6. Article
  7. ReBiA-Robotic Enabled Biological Automation: 3D Epithelial Tissue Production.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  8. Review
  9. Machine Learning and Artificial Intelligence in Nanomedicine.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    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

8 authors.

Sofia DembskiFraunhofer Institute for Silicate Research ISC, Neunerplatz 2, 97082, Würzburg, Germany. sofia.dembski@isc.fraunhofer.de.
Thomas SchwarzFraunhofer Institute for Silicate Research ISC, Neunerplatz 2, 97082, Würzburg, Germany.
Maximilian OppmannFraunhofer Institute for Silicate Research ISC, Neunerplatz 2, 97082, Würzburg, Germany.
Shahbaz Tareq BandeshaFraunhofer Institute for Silicate Research ISC, Neunerplatz 2, 97082, Würzburg, Germany.
Jörn SchmidGoldfuß Engineering GmbH, Laboratory Automation, 72336, Balingen, Germany.
Sarah WenderothFraunhofer Institute for Silicate Research ISC, Neunerplatz 2, 97082, Würzburg, Germany.
Karl MandelFraunhofer Institute for Silicate Research ISC, Neunerplatz 2, 97082, Würzburg, Germany.
Jan HansmannFraunhofer Institute for Silicate Research ISC, Neunerplatz 2, 97082, Würzburg, Germany.

Funding

Bundesministerium für Bildung und Forschung 03VNE1049B
6 · The paper itself

Abstract

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%.

Identifiers

PMID37454142
PMCPMC10349877

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.