Evidence map›Paper›PMID 42655227›Full record

ReviewPolymers2026

Mycelium-Based Biocomposites as Sustainable Polymer Alternatives: Engineering Strategies, Structure-Property Relationships and Circular Packaging Applications.

Shuai Yuan, Chen Chen, Wei Xu

Abstract readReview
In one paragraph

Review in Polymers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Shuai YuanCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China.ORCID 0009-0006-4892-9830
Chen ChenCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0003-4075-1098
Wei XuCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China.

Funding

China Postdoctoral Science Foundation 2023M730483National Natural Science Foundation of China 72201128
6 · The paper itself

Abstract

Mycelium-based composites (MBCs) represent a new class of bio-based polymer alternatives, where fungal networks act as natural binders within lignocellulosic composite architectures. This review systematically summarises the development of mycelium-based packaging materials from early laboratory research to industrial applications since the pioneering work of Ecovative Design in 2007. The review analyses how fungal strains and substrate compositions regulate the mechanical properties, density, hydrophobicity, and biodegradability of MBCs. Additionally, reinforcement strategies, including natural fibre reinforcement, nanomaterial modification, densification treatment, and process optimisation, are discussed for their roles in improving material performance. Furthermore, current commercial applications of mycelium-based packaging in electronics, food, cosmetics, and construction are reviewed, together with the major challenges limiting large-scale industrialisation, such as production scalability, cost competitiveness, and batch variability. Future research directions, including strain engineering, intelligent living materials, and automated biomanufacturing, are also outlined. Overall, this review provides a comprehensive reference for the design, optimisation, and commercial development of mycelium-based packaging materials within the framework of a circular bioeconomy.

Indexed as

bio-based polymer compositesbiodegradable compositescircular economymycelium-based compositesstructure–property relationshipssustainable packaging

Identifiers

PMID42655227
PMCPMC13516071

What OpenQuestion holds

Textmetadata
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.