Biofunctional cellulose fibers from mulberry bast via suberin nanointerface engineering
Bibliographic record
Abstract
The development of yarn-free cellulose fibers from natural biomass provides a low-energy and environmentally conscious alternative for producing functional textiles. This study introduced a method for producing yarn-free cellulose fibers from the bast of Broussonetia papyrifera (paper mulberry), a fast-growing plant that does not require pesticides. The fibers were extracted using a mild alkaline treatment that preserved their alignment and allowed them to be knitted directly without traditional spinning. A coating of suberin, obtained from cork bark waste ( Quercus variabilis ), was applied using ethanol dispersion and fixed by heating at 110 °C. The coating improved the fiber’s antibacterial performance, moisture response, and mechanical strength (tensile strength: 0.43 GPa; Young’s modulus: 6.4 GPa), while keeping the material flexible and washable. The suberin layer could be removed and reused through a recycling process involving ionic liquids, allowing over 95% recovery after multiple cycles. A life cycle assessment showed that this fiber system had a lower environmental impact compared to conventional synthetic textile fibers. Overall, this work provided a practical and recyclable approach to making functional textiles from natural plant materials.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 0.000 |
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.
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 teacher head, 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".