Textile residue-based mycelium biocomposites from <i>Pleurotus ostreatus</i>
Bibliographic record
Abstract
to grow on textile residues and form mycelium-based biocomposites. The mycelium was able to grow on four types of textile residues including white and coloured cotton and polyester mixtures and acted as a binder between the textile fibres. The growth of fungal mycelium was assessed using Fourier transform infrared spectroscopy to detect the presence of amides and polysaccharides arising from fungal mycelium and scanning electron microscopy, dry weight and water activity. The compressive strength of textile residue-based biocomposite was also measured and it was found to be between 100 and 270 kPa. Overall, a lightweight biocomposite was obtained which could be a potential alternative for polystyrene-based products. These findings show the ability of the fungus to thrive on polyester plastic in textiles and provide an alternative for converting this plastic material into bio-based materials. Additionally, by varying the mycelium growth, the plasticiser and stiffness properties of the resultant biocomposite can be changed. This research paves the way for the efficient conversion of textile waste into biocomposites as alternatives for plastic packaging products.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".