Evidence map›Paper›PMID 32751597›Full record

ArticlePolymers2020

Surface Etching of 3D Printed Poly(lactic acid) with NaOH: A Systematic Approach.

Matthias Schneider, Nora Fritzsche, Agnieszka Puciul-Malinowska, Andrzej Baliś, Amr Mostafa, Ilko Bald, Szczepan Zapotoczny, Andreas Taubert

Abstract read
In one paragraph

Article in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. [Study on NaOH improving the surface morphology of three-dimensional printed poly-Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2024
    Article
  6. Biocatalytic Performance ofMicromachines · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Micro-porous PLGA/Regenerative biomaterials · 2023
    Article
  12. Article
  13. 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

8 authors.

Matthias SchneiderInstitute of Chemistry, University of Potsdam, D-14476 Potsdam, Germany.
Nora FritzscheInstitute of Chemistry, University of Potsdam, D-14476 Potsdam, Germany.
Agnieszka Puciul-MalinowskaFaculty of Chemistry, Jagiellonian University, PL-30-387 Kraków, Poland.
Andrzej BaliśFaculty of Chemistry, Jagiellonian University, PL-30-387 Kraków, Poland.
Amr MostafaInstitute of Chemistry, University of Potsdam, D-14476 Potsdam, Germany.
Ilko BaldInstitute of Chemistry, University of Potsdam, D-14476 Potsdam, Germany.
Szczepan ZapotocznyFaculty of Chemistry, Jagiellonian University, PL-30-387 Kraków, Poland.ORCID 0000-0001-6662-7621
Andreas TaubertInstitute of Chemistry, University of Potsdam, D-14476 Potsdam, Germany.

Funding

Universität Potsdam n/aUniwersytet Jagielloński w Krakowie n/a
6 · The paper itself

Abstract

The article describes a systematic investigation of the effects of an aqueous NaOH treatment of 3D printed poly(lactic acid) (PLA) scaffolds for surface activation. The PLA surface undergoes several morphology changes and after an initial surface roughening, the surface becomes smoother again before the material dissolves. Erosion rates and surface morphologies can be controlled by the treatment. At the same time, the bulk mechanical properties of the treated materials remain unaltered. This indicates that NaOH treatment of 3D printed PLA scaffolds is a simple, yet viable strategy for surface activation without compromising the mechanical stability of PLA scaffolds.

Indexed as

erosionpoly(lactic acid), 3D printingroughnesssodium hydroxide etchingsurface modificationwettability

Identifiers

PMID32751597
PMCPMC7464172

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.