Evidence map›Paper›PMID 42632842›Full record

ArticleScientific reports2026

Tensile characterization and life cycle assessment of fungal-colonized 3D-printed PLA/wood biocomposites.

Narges Panjalipoursangari, Yanlong Zhu, Wolfgang H Müller, Christina Völlmecke

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

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Narges PanjalipoursangariContinuum Mechanics and Materials Theory Group, Technical University of Berlin, Einsteinufer 5, 10587, Berlin, Germany. n.panjalipoursangari@tu-berlin.de.
Yanlong ZhuStability and Failure of Functionally Optimized Structures Group, Technical University of Berlin, Einsteinufer 5, 10587, Berlin, Germany.
Wolfgang H MüllerContinuum Mechanics and Materials Theory Group, Technical University of Berlin, Einsteinufer 5, 10587, Berlin, Germany.
Christina VöllmeckeStability and Failure of Functionally Optimized Structures Group, Technical University of Berlin, Einsteinufer 5, 10587, Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the mechanical behaviour of additively manufactured biocomposites based on PolyLactic Acid (PLA) reinforced with nominal wood-particle contents ranging from 10 to 50wt. % and subsequently subjected to controlled growth of the fungus Fomes fomentarius. The aim was to analyse how post-printing fungal colonisation and the associated processing conditions influence the mechanical characteristics of the resulting wood-containing PLA specimens, particularly Young's modulus (E), mean Ultimate Tensile Strength (UTS), and overall deformation behaviour. Standardised tensile tests were performed, and the corresponding stress-strain curves were evaluated. The investigated PLA/wood material combinations exhibited noticeable differences in tensile behaviour, with mean Young's modulus (E) values ranging from 2231 to 2685 [Formula: see text] and mean UTS values ranging from 31 to 38 [Formula: see text].  Specimens subjected to fungal colonisation and the associated incubation, drying, and handling procedure consistently exhibited lower mean E and mean UTS values than the corresponding untreated specimens  . Mean Young's modulus decreased by approximately 7-11 %, while UTS decreased by approximately 2-7 %, depending on the material combination. Microscopic observations confirmed successful surface colonisation by Fomes fomentarius, whereas fungal growth within the internal specimen structure could not be detected. In addition, a supplementary screening-level Life Cycle Assessment (LCA) was conducted to compare the environmental impacts associated with the investigated PLA/wood material combinations during the Material Extrusion Additive Manufacturing (MEX AM) fabrication stage. The results indicate that electricity consumption dominated the Global Warming Potential (GWP), whereas material composition had a stronger influence on Acidification Potential (AP) and Eutrophication Potential (EP). The combined mechanical and screening-level environmental assessment provides indicative insights into the trade-offs associated with bio-based PLA/wood material combinations and their post-printing biological modification, supporting future work on more sustainable additively manufactured material systems.

Indexed as

Biocompatible MaterialsCoriolaceaePolyestersPrinting, Three-DimensionalTensile StrengthWoodElastic ModulusMaterials TestingStress, MechanicalBiocompatible MaterialsPolyesterspoly(lactide)Fomes fomentariusMaterial extrusion additive manufacturing (MEX AM)Mycelium colonizationPLA biocompositesSustainable materialsWood-particle reinforcement

Identifiers

PMID42632842
PMCPMC13499799

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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.