Evidence map›Paper›PMID 41513719›Full record

ArticleScientific reports2026

Fabrication of biodegradable drug-eluting scaffolds by two-photon polymerization.

Felix Behlau, Antonio Riveiro Rodriguez, Cemal Esen, Juan Pou, Andreas Ostendorf

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Felix BehlauApplied Laser Technologies, Ruhr University Bochum, Universitätsstraße 150, 44801, Bochum, Germany. felix.behlau@ruhr-uni-bochum.de.
Antonio Riveiro RodriguezApplied Physics Department, University of Vigo, EEI, Lagoas-Marcosende, 36310, Vigo, Spain.
Cemal EsenApplied Laser Technologies, Ruhr University Bochum, Universitätsstraße 150, 44801, Bochum, Germany.
Juan PouApplied Physics Department, University of Vigo, EEI, Lagoas-Marcosende, 36310, Vigo, Spain.
Andreas OstendorfApplied Laser Technologies, Ruhr University Bochum, Universitätsstraße 150, 44801, Bochum, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two-photon polymerization (2PP) is a promising fabrication technology for three-dimensional microstructures. The high resolution of 2PP, with the capability to create features down to 100 nm, makes it an attractive tool for medical and biomedical applications. This is enabled by the availability of many biocompatible and biodegradable photoresists for 2PP. Consequently, the fabrication of scaffold structures by 2PP for tissue or cell engineering is a common practice. In this study, a novel approach to scaffold fabrication by 2PP is presented. The incorporation of drugs into a biodegradable photoresist is demonstrated to be a feasible method for passive drug-eluting scaffolds created by 2PP. The drug was mixed into the liquid photoresist prior to processing. Measurement of the drug-release was done by immersing the scaffolds in a water solution for a period of two weeks at 37 °C, with constant shaking in an incubator. The drug release was measured by taking extracts at defined time intervals and measuring the concentration using Inductively Coupled Plasma Mass Spectrometry (ICP-MS). As a result, an initial burst and a subsequent slowing increase of the drug concentration were detected.

Indexed as

Biocompatible MaterialsPhotonsPolymerizationTissue ScaffoldsDrug LiberationTissue EngineeringBiocompatible MaterialsBiodegradableDrug-elutingMedical technologyScaffoldTwo-photon polymerization

Identifiers

PMID41513719
PMCPMC12796341

What OpenQuestion holds

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Registered trials

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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.