Reinforcement of collagen with covalently-functionalized single-walled carbon nanotube crosslinkers
Why this work is in the frame
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Bibliographic record
Abstract
Poly(ethyleneimine) (PEI) functionalized single-walled carbon nanotubes (SWNTs) and free PEI were investigated as collagen crosslinking agents to determine their ability to improve the Young's modulus of a collagen hydrogel. The crosslinked collagen matrices were prepared by blending Type I bovine collagen with either PEI-SWNT or free PEI and crosslinked utilizing carbodiimide chemistry. The resulting SWNT enriched material was a crosslinked collagen hydrogel with sufficient mechanical strength to be manipulated and transferred without damaging the matrix. Raman spectroscopy confirmed the presence of SWNTs within the PEI-SWNT/collagen hydrogels. In addition, it confirmed that crosslinking did not alter the SWNT delocalized network. Dynamic scanning calorimetry confirmed a change in the denaturation temperature for hydrogels prepared by PEI-SWNT or PEI crosslinkers. Water uptake analysis suggested very loosely crosslinked matrices were produced regardless of the crosslinking agent used. However, evaluating the Young's modulus, it was found that collagen hydrogels produced with PEI-SWNTs as the crosslinking agent had a modulus 4.5 to 9 times that of collagen hydrogels produced with PEI of the same amine concentration or in the absence of any crosslinking agent. In addition, PEI-SWNT crosslinked collagen hydrogels exhibited superior Young's modulus to control samples in which only the SWNTs or unlinked mixtures of SWNTs and PEI were used as crosslinkers. This comparative study confirms that PEI-SWNT crosslinked collagen gels exhibited Young's moduli significantly higher than collagen gels cross-linked with just nanotubes, PEI, or blends of nanotubes and PEI.
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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) | 0.000 | 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) | 0.010 | 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 it