Self-Assembled Gels of Cellulose Nanocrystals for Diffusion-Controlled Color Switching
Bibliographic record
Abstract
We demonstrate a new method to control the diffusion of guest molecules within cellulose nanocrystal (CNC) matrices containing embedded receptors. Specifically, we modified the structural composition of the guests by connecting them to polymer chains or nanoparticles, to slow down their diffusion rate, leading to controlled and colorful host–guest self-assembly processes within CNC-based materials. Moreover, considering the differences in guest binding affinity, we successfully built a supramolecular system that can exhibit macroscopic color changes by a sequenced exchange process. This system has been implemented in a spontaneous color-evolving film. We anticipate that these materials may be valuable to design a set of self-responsive materials and size exclusion gels functioning as, for example, time-evolving coatings, sustained-releasing materials, and separation columns.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".