Evidence map›Paper›PMID 33371307›Full record

ReviewNanomaterials (Basel, Switzerland)2020

Biodegradable Poly(Lactic Acid) Nanocomposites for Fused Deposition Modeling 3D Printing.

Madison Bardot, Michael D Schulz

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Review
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  5. Review
  6. FDM 3D Printing and Properties of WF/PBAT/PLA Composites.Molecules (Basel, Switzerland) · 2024
    Article
  7. Article
  8. Let's Print an Ecology in 3D (and 4D).Materials (Basel, Switzerland) · 2024
    Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
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  18. Review
  19. Article
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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

2 authors.

Madison BardotDepartment of Chemistry and Macromolecules Innovation Institute, Virginia Tech, Blacksburg, VA 24061, USA.ORCID 0000-0001-8655-6947
Michael D SchulzDepartment of Chemistry and Macromolecules Innovation Institute, Virginia Tech, Blacksburg, VA 24061, USA.ORCID 0000-0001-8499-6025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

3D printing by fused deposition modelling (FDM) enables rapid prototyping and fabrication of parts with complex geometries. Unfortunately, most materials suitable for FDM 3D printing are non-degradable, petroleum-based polymers. The current ecological crisis caused by plastic waste has produced great interest in biodegradable materials for many applications, including 3D printing. Poly(lactic acid) (PLA), in particular, has been extensively investigated for FDM applications. However, most biodegradable polymers, including PLA, have insufficient mechanical properties for many applications. One approach to overcoming this challenge is to introduce additives that enhance the mechanical properties of PLA while maintaining FDM 3D printability. This review focuses on PLA-based nanocomposites with cellulose, metal-based nanoparticles, continuous fibers, carbon-based nanoparticles, or other additives. These additives impact both the physical properties and printability of the resulting nanocomposites. We also detail the optimal conditions for using these materials in FDM 3D printing. These approaches demonstrate the promise of developing nanocomposites that are both biodegradable and mechanically robust.

Indexed as

3D printingadditive manufacturing (AM)carbon nanoparticlescellulosefused deposition modeling (FDM)poly(lactic acid) (PLA)

Identifiers

PMID33371307
PMCPMC7767349

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.