Polyelectrolyte Multilayer Films Containing Cellulose: A Review
Bibliographic record
Abstract
In the past decade, electrostatic layer-by-layer (LBL) self-assembly has gained attention because it is a facile and robust method to prepare thin polymer films. The low-cost technique is ideally suited to create chemically defined, reproducible, and smooth films with tailor-made properties. Due to the industrial importance and natural abundance of cellulose, its incorporation into LBL films has been widespread. Here we review research into multilayered composite materials containing cellulose and cellulose derivatives with favourable properties including high strength, flexibility, and biocompatibility. Preparation and characterization of polyelectrolyte multilayer films containing (1) cellulose derivatives, (2) cellulose nanocrystals, and (3) using cellulose fibers as substrates are presented. The applications and advantages of these films and their potential as model cellulose surfaces are discussed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".