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Record W4417193407 · doi:10.3390/app152412999

Mechanical Characterisation of Carbonised Plant Scaffolds as Potential Bone Graft Substitutes

2025· article· en· W4417193407 on OpenAlexaff
Kamil Joszko, Grzegorz Dulęba, Ilona Łysy, Justyna Majewska, Bożena Gzik‐Zroska, W. Wolański, Saeid Ghavami, Arkadiusz Szarek, Marek Łoś

Bibliographic record

VenueApplied Sciences · 2025
Typearticle
Languageen
FieldDecision Sciences
Topicactivated carbon and charcoal
Canadian institutionsUniversity of Manitoba
FundersSilesian University of Technology
KeywordsBiocompatibilityCancellous boneFlexural strengthPorosityMechanical strengthContext (archaeology)PyrolysisMaterial propertiesDigital image correlation

Abstract

fetched live from OpenAlex

This article presents an assessment of the mechanical properties of biochars in the context of their potential application as bone graft substitutes. The samples were obtained from selected hardwood species and subjected to pyrolysis at temperatures of 400 °C, 600 °C, 800 °C and 1000 °C. To assess the mechanical properties, a classical three-point bending test was employed alongside Digital Image Correlation (DIC), which enabled analysis of displacement and strain distribution. The results indicate that biochars derived from hornbeam pyrolysed (carbonised) at 800 °C achieve Young’s modulus values of up to 5.69 ± 0.76 GPa and those, carbonised at 1000 °C, reached flexural (bend) strength values of up to 0.01897 ± 0.00211 GPa. These parameters fall within the range of cancellous bone properties and the lower range of cortical bone properties of the mandible, suggesting their potential suitability for reconstructing load-bearing bone structures with limited mechanical demand, including the mandible. The results highlight the effect of pyrolysis temperature on the microstructure and mechanical properties of the material and indicate the need for further studies on biocompatibility and surface functionalisation. Plant-derived biochars, owing to their natural porosity and properties comparable to bone tissue, may represent a promising alternative to currently used biomaterials in bone tissue engineering.

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.

How this classification was reachedexpand

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)0.002
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 score0.095
Threshold uncertainty score0.484

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.041
GPT teacher head0.330
Teacher spread0.290 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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