Reproducible Dendronized PEG Hydrogels via SPAAC Cross-Linking
Bibliographic record
Abstract
A common issue with hydrogel formulations is batch-to-batch irreproducibility originating from poorly defined polymer precursors. Here, we report the use of dendritic polymer end-groups to address this issue and maintain reproducibility between batches of poly(ethylene glycol) (PEG) hydrogels. Specifically, we synthesized two end-functionalized PEG chains: one with azide-terminated first- and second-generation dendrons and the other with strained cyclooctynes. The two complementary azide and alkyne polymers react via strain-promoted alkyne-azide cycloaddition (SPAAC) to produce hydrogels quickly in the absence of additional reagents or catalyst at low polymer concentrations. Hydrogels made with first-generation dendrons gelled in minutes and exhibited a small degree of swelling when incubated in PBS buffer at 37 °C, whereas hydrogels made from second-generation dendrons gelled in seconds with almost no swelling upon incubation at 37 °C. In both cases, the hydrogels proved reproducible, resulting in identical Young's modulus values from different batches. The hydrogels prepared with second-generation dendrons were seeded with human mesenchymal stem cells and showed high cell viability as well as cell spreading over a two-week time frame. These studies show that the SPAAC hydrogels are noncytotoxic and are capable of supporting cell growth.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".