Properties and Structure of Cellulose Nanocrystal Hydrogels for Potential Applications as Three-Dimensional Artificial Extracellular Matrices
Bibliographic record
Abstract
This thesis describes the preparation of hydrogels of cellulose nanocrystals (CNCs) into environments that would support the growth of cells either by (i) adding Hank's Balanced Salt Solution to CNC suspensions to induce gelation or (ii) by modifying the surface of CNCs with a thermoresponsive polymer to stimulate gelation in situ. Fibroblast cells were grown within suspensions of CNCs of varying concentrations and the mechanical properties and structure of the resulting suspensions were examined. The viability of the cells cultured within the cellulose nanocrystal matrix was evaluated using two spectroscopic techniques: UV-Vis absorption and fluorescence confocal microscopy. The synthesis of thermoresponsive CNCs was conducted via an atom-transfer radical-polymerization-based living radical polymerization. The thermoresponsive polymers, poly(N-isopropylacrylamide) and poly(N-isopropylacrylamide-co-polyethylene glycol methacrylate) were polymerized from the surface of initiator-modified CNCs. The resulting polymer was characterized by attenuated total reflectance Fourier transform infrared spectroscopy, proton nuclear magnetic resonance and dynamic light scattering.
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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".