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Record W7117354477 · doi:10.1016/j.nbt.2025.12.006

Tailoring structure-property relationships of fungal mycelium for material applications: A process engineering approach for pure mycelium-based biomaterials

2025· article· en· W7117354477 on OpenAlex
Malvika Sharma, Loong-Tak Lim, Guneet Kaur

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueNew Biotechnology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and Biological Electrophysiology Studies
Canadian institutionsUniversity of Guelph
FundersOntario Agri-Food Innovation AllianceNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Agriculture, Food and Rural Affairs
KeywordsMyceliumBioreactorProcess (computing)Process developmentSubstrate (aquarium)Fungal growthFermentation

Abstract

fetched live from OpenAlex

Pure mycelium materials (PMMs) offer sustainable alternatives to traditional animal and synthetic polymer-based leather and petroleum-based packaging materials, by using innocuous fungi and agri-food biomass residues. Fungi respond readily to growth conditions and produce mycelia with tunable material properties to yield a diverse array of products. Additionally, these properties can be further modified through various post-processing techniques. This critical review examines how process engineering approaches, such as manipulating the fungal microenvironment, via optimal growth conditions, substrate selection, and bioreactor design, as well as post-processing techniques, can be effectively employed to engineer the properties of PMMs. It specifically describes the structure-property relationships of mycelium as governed by substrate assimilation and fermentation process parameters, and their impact on the fungal phenotype. To this, a comprehensive discussion on the role of fermentation conditions to mediate changes in fungal hyphal structure, composition, orientation, and cell wall composition – all of which determine the final mycelium material properties – is provided. By examining these relationships, this review aims to provide process insights that could guide the design and implementation of PMM production systems with enhanced yield and productivity along with the provision of tuneable material properties. Finally, the review highlights other considerations such as life cycle assessment and regulatory requirements, and their relationships with process engineering, which are important for PMM development and their industry exploitation. • Microenvironment conditions and bioreactor design impact mycelium morphology • Varying mycelium orientation via process conditions gives different PMM properties • Feedstock selection is a useful means to alter mycelium composition and properties • Post-processing techniques can enhance flexibility and strength of PMMs • LCA is governed by growth and post-processing steps for PMM design

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.458

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.224
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it