Evidence map›Paper›PMID 40707010›Full record

ArticleNano letters2025

3D Multiphoton Nanolithography with Bioresorbable Amino Acid-Based Resins.

Christoph Naderer, Dmitry Sivun, Stephan Haudum, Ian Teasdale, Jaroslaw Jacak

Abstract read
In one paragraph

Article in Nano letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Christoph NadererSchool of Medical Engineering and Applied Social Science, University of Applied Sciences Upper Austria, 4020 Linz, Austria.ORCID 0009-0007-4501-2100
Dmitry SivunSchool of Medical Engineering and Applied Social Science, University of Applied Sciences Upper Austria, 4020 Linz, Austria.ORCID 0000-0002-5531-1354
Stephan HaudumInstitute of Polymer Chemistry, Johannes Kepler University, 4040 Linz, Austria.
Ian TeasdaleInstitute of Polymer Chemistry, Johannes Kepler University, 4040 Linz, Austria.ORCID 0000-0001-5953-9084
Jaroslaw JacakSchool of Medical Engineering and Applied Social Science, University of Applied Sciences Upper Austria, 4020 Linz, Austria.ORCID 0000-0002-4989-1276

Funding

Austrian Research Promotion AgencyAustrian Science Fund
6 · The paper itself

Abstract

We demonstrate that the newly designed amino acid phosphorodiamidate resins (APdA), containing vinyl reactive groups for polymerization, can be utilized to fabricate sub-100 nm features through 3D multiphoton lithography. We have quantitatively analyzed the feature size, Young's modulus, and functionalization of the nanostructures using atomic force and single-molecule fluorescence microscopy. Our results indicate that the polymer backbone, composed of either valine or alanine, imparts hydrophobic properties to the monomer, restricting the swelling of the polymeric nanostructure to 8% in aqueous environments. Despite minimal swelling, experiments revealed an up to 10-fold change of Young's modulus for dry versus wet conditions. To enhance the versatility of the APdA-based structures, we incorporated biotin functionalization and used it for the immobilization of extracellular vesicles. Hence, these findings highlight the potential of APdA-based nanolithography photoresists for biomedicine and nanotechnology applications.

Indexed as

Amino AcidsNanostructuresNanotechnologyResins, SyntheticElastic ModulusHydrophobic and Hydrophilic InteractionsAmino AcidsResins, SyntheticAmino Acid-Based ResinBioresorbable ResinExtracellular VesiclesMechanical PropertiesMultiphoton Lithography

Identifiers

PMID40707010
PMCPMC12333413

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.