Evidence map›Paper›PMID 38667263›Full record

ArticleBiomimetics (Basel, Switzerland)2024

Effects of Sodium Alginate and Calcium Chloride on Fungal Growth and Viability in Biomass-Fungi Composite Materials Used for 3D Printing.

Al Mazedur Rahman, Caleb Oliver Bedsole, Yeasir Mohammad Akib, Jillian Hamilton, Taieba Tuba Rahman, Brian D Shaw, Zhijian Pei

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Mycelium Growth and Development ofJournal of fungi (Basel, Switzerland) · 2025
    Article
  5. Article
  6. 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

7 authors.

Al Mazedur RahmanDepartment of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0002-4301-8855
Caleb Oliver BedsoleDepartment of Plant Pathology and Microbiology, Texas A&M University, College Station, TX 77845, USA.
Yeasir Mohammad AkibDepartment of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77843, USA.
Jillian HamiltonDepartment of Plant Pathology and Microbiology, Texas A&M University, College Station, TX 77845, USA.
Taieba Tuba RahmanDepartment of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77843, USA.
Brian D ShawDepartment of Plant Pathology and Microbiology, Texas A&M University, College Station, TX 77845, USA.
Zhijian PeiDepartment of Industrial & Systems Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0003-2280-4694

Funding

National Science Foundation 2308575
6 · The paper itself

Abstract

To combat climate change, one approach is to manufacture products from biomass-fungi composite materials instead of petroleum-based plastics. These products can be used in packaging, furniture, and construction industries. A 3D printing-based manufacturing method was developed for these biomass-fungi composite materials, eliminating the need for molds, and enabling customized product design. However, previous studies on the 3D printing-based method showed significant shrinkage of printed samples. In this paper, an approach is proposed to reduce the shrinkage by incorporating ionic crosslinking into biomass-fungi composite materials. This paper reports two sets of experiments regarding the effects of sodium alginate (SA) and calcium chloride (CaCl

Indexed as

3D printingbiomass-fungicrosslinkingfungal growthsodium alginate

Identifiers

PMID38667263
PMCPMC11047919

What OpenQuestion holds

Textmetadata
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.