Polysaccharide biocomposites with tunable adsorption and antipathogen activity via surface immobilization of chitosan onto modified flax fibers
Bibliographic record
Abstract
Flax fiber modified composite (FFMC) duplex systems with unique sorbent and antipathogen properties were developed by physisorption of chitosan onto modified flax fibers by a facile method. Complementary characterization of the FFMCs (Raman, NMR, and IR, SEM, XRD, TGA and BET analysis) revealed variable composite morphology with incremental chitosan doping and supramolecular interactions between the fiber substrate and immobilized chitosan. Dye adsorption profiles of FFMCs with Rose Bengal corroborated the role of physisorption with an adsorption capacity that rises to 17.9 mg/g, whereas the water sorption capacity reaches an impressive value ca. 11 g/g, which indicated the role of synergism upon chitosan immobilization. Anti-microbial/-fungal properties were supported by antipathogen tests. The FFMCs have high antimicrobial potency toward gram negative ( E. coli ), gram positive ( S. aureus ) and a fungal strain ( C. albicans ) based on the low FFMC dosages required to achieve 100 % microbial elimination. This versatile class of unique biocomposites displayed unique structure-function relationships related to synergistic water sorption and antipathogenic effects, as compared to available literature reports. FFMCs are a diversiform class of biocomposites with unique physicochemical and biological properties that are shown to extend the field of adsorption science and technology from environmental remediation to biomedical devices. • Novel composites (FFMCs) were developed containing flax fiber & chitosan. • Synergistic sorption and antimicrobial properties of the FFMCs was unveiled. • Incremental surface patterning of chitosan imbued unique properties. • Unique insight on the structure-function properties was demonstrated for the FFMCs.
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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 | 0.000 |
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 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".