Charge-Switching, Amphoteric Glucose-Responsive Microgels with Physiological Swelling Activity
Bibliographic record
Abstract
Amphoteric, poly(N-isopropylacrylamide)-based microgels are functionalized with aminophenylboronic acid (PBA) functional groups to produce colloidally stable, glucose-responsive gel nanoparticles that exhibit glucose-dependent swelling responses at physiological temperature, pH, and ionic strength. Up to 2-fold volumetric swelling responses are observed in response to physiological glucose concentrations, the first such physiological response reported for a colloidally stable microgel. Amphoteric microgels can also be designed to both swell and deswell in response to glucose according to the pH of the medium, the concentration of PBA groups grafted to the microgel, and the relative concentrations of the cationic and anionic functional groups in the platform microgel. The increasing anionic charge density on the microgels observed at higher glucose binding fractions can be applied to switch the net charge of the microgels from cationic to anionic as the glucose concentration increases. Preliminary experiments suggest that such amphoteric PBA-microgels have a high capacity for insulin uptake and can selectively release more insulin at higher glucose concentrations under physiological conditions via glucose-induced, "on-off" switching of electrostatic attractions between insulin and the microgel.
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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) | 0.000 | 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".