Evidence map›Paper›PMID 40619850›Full record

ArticleAngewandte Chemie (International ed. in English)2025

Step Test for Rapid Screening of Material and Process Parameters for Resin Development in DLP 3D Printing.

Michelle Vigogne, Cosima Aeschbach, Ricardo Bernhardt, Anika Kaufmann, Julian Thiele

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Michelle VigogneLeibniz-Institut für Polymerforschung Dresden e.V., Hohe Straße 6, 01069, Dresden, Germany.ORCID https://orcid.org/0009-0009-8788-1026
Cosima AeschbachLeibniz-Institut für Polymerforschung Dresden e.V., Hohe Straße 6, 01069, Dresden, Germany.ORCID https://orcid.org/0009-0000-8246-0489
Ricardo BernhardtLeibniz-Institut für Polymerforschung Dresden e.V., Hohe Straße 6, 01069, Dresden, Germany.ORCID https://orcid.org/0000-0001-8471-9693
Anika KaufmannLeibniz-Institut für Polymerforschung Dresden e.V., Hohe Straße 6, 01069, Dresden, Germany.ORCID https://orcid.org/0009-0008-6877-4316
Julian ThieleLeibniz-Institut für Polymerforschung Dresden e.V., Hohe Straße 6, 01069, Dresden, Germany.ORCID https://orcid.org/0000-0001-5449-3048

Funding

European Research Council 852065M-ERA.NET 2Sächsisches Staatsministerium für Wissenschaft, Kultur und Tourismus (SMWK) 100631578
6 · The paper itself

Abstract

The success of 3D printing based on vat polymerization by spatially controlled UV light exposure strongly depends on appropriate resins. However, in search of new resins, optimizing a resin's composition as well as its printing parameters can be time-consuming and labor-intensive. To address these challenges, we present a rapid parameter screening that enables efficient evaluation of 24 printing parameter settings within one print focusing on exposure energy, exposure time, and layer thickness as the most crucial process parameters in 3D printing based on digital light processing (DLP). Our step test minimizes the required number of experimental iterations and 3D prints by relying on optical characterization without the need for special analytical devices, making it rapid and accessible for a broad range of users across different disciplines. For a proof of concept, the step test is applied to define optimal printing parameters of three commercial resins and evaluate the polymerization efficiency of two predominantly biobased, noncommercial resins containing either phenylbis(2,4,6-trimethylbenzoyl)phosphine oxide or curcumin as photoinitiators. With that, we introduce a straightforward test that is easy to implement and adaptable to other UV polymerization-based printing methods, speeding up the time from resin screening to optimal printing parameters and products.

Indexed as

Biobased photoinitiatorDLP 3D printingParameter screeningRenewable materialsStep test

Identifiers

PMID40619850
PMCPMC12338430

What OpenQuestion holds

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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.