Chitosan-coated cellulose/soy protein membranes with improved physical properties and hemocompatibility
Bibliographic record
Abstract
A series of cellulose/soy protein membranes (CSM) was coated with chitosan to improve the mechanical properties, cytocompatibility, and hemocompatibility. The original CSM and chitosan-coated CSM (CH/CSM) were characterized by Fourier transform infrared spectroscopy, X-ray diffraction analysis, scanning electron microscopy, water contact angle testing, and tensile testing. CH/CSM had a smoother surface microstructure and enhanced mechanical properties as compared to the corresponding CSM. The cytocompatibility and hemocompatibility of CSM and CH/CSM were evaluated by cell culture, MTT assay, in vitro platelet adhesion testing, plasma recalcification time (PRT) measurement, and hemolysis assay. The higher cell adherence and improved cytocompatibility of CH/CSM were mainly ascribed to the coated composition and the altered surface microstructure of CSM. CH/CSM also showed lower platelet adhesion, longer PRT, and a lower hemolysis rate, all resulting from the good hemocompatibility of chitosan and the smoother membrane surface after chitosan coating. Undoubtedly, surface coating with chitosan improved the microstructure, mechanical properties, cytocompatibility, and hemocompatibility, thus widening the possible range of applications for cellulose/soy protein-based biomaterials.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".