Evidence map›Paper›PMID 29872156›Full record

ArticleScientific reports2018

Large-scale additive manufacturing with bioinspired cellulosic materials.

Naresh D Sanandiya, Yadunund Vijay, Marina Dimopoulou, Stylianos Dritsas, Javier G Fernandez

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 3D Printable Biocomposites with Tunable Environmental Degradability.3D printing and additive manufacturing · 2025
    Article
  5. 3D printing of polylactic acid: recent advances and opportunities.The International journal, advanced manufacturing technology · 2023
    Review
  6. Multiscale design of cell-free biologically active architectural structures.Frontiers in bioengineering and biotechnology · 2023
    Article
  7. Article
  8. Computational design logics for bio-based design.Architectural intelligence · 2022
    Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. 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.

Naresh D SanandiyaSingapore University of Technology & Design, 8 Somapah Road, 487372, Singapore, Singapore.
Yadunund VijaySingapore University of Technology & Design, 8 Somapah Road, 487372, Singapore, Singapore.ORCID 0000-0002-8036-3949
Marina DimopoulouSingapore University of Technology & Design, 8 Somapah Road, 487372, Singapore, Singapore.
Stylianos DritsasSingapore University of Technology & Design, 8 Somapah Road, 487372, Singapore, Singapore.
Javier G FernandezSingapore University of Technology & Design, 8 Somapah Road, 487372, Singapore, Singapore. javier.fernandez@sutd.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellulose is the most abundant and broadly distributed organic compound and industrial by-product on Earth. However, despite decades of extensive research, the bottom-up use of cellulose to fabricate 3D objects is still plagued with problems that restrict its practical applications: derivatives with vast polluting effects, use in combination with plastics, lack of scalability and high production cost. Here we demonstrate the general use of cellulose to manufacture large 3D objects. Our approach diverges from the common association of cellulose with green plants and it is inspired by the wall of the fungus-like oomycetes, which is reproduced introducing small amounts of chitin between cellulose fibers. The resulting fungal-like adhesive material(s) (FLAM) are strong, lightweight and inexpensive, and can be molded or processed using woodworking techniques. We believe this first large-scale additive manufacture with ubiquitous biological polymers will be the catalyst for the transition to environmentally benign and circular manufacturing models.

Identifiers

PMID29872156
PMCPMC5988822

What OpenQuestion holds

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LicenceCC BY
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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.