Engineering Glucose Swelling Responses in Poly(<i>N</i>-isopropylacrylamide)-Based Microgels
Bibliographic record
Abstract
Poly( N -isopropylacrylamide) (PNIPAM) microgels are functionalized with aminophenyboronic acid (APBA) to produce nanoparticles which swell in response to increases in the glucose concentration. A “graft-to” approach was used to synthesize a range of microgels with different physical properties from the same base microgel. Higher APBA graft yields are achieved as the −COOH groups in the platform microgel become more localized on the surface and more highly spaced within the subchains. The glucose swelling response of the graft microgels is enhanced as the PBA functional groups become more localized in the outer shell of the microgel and more randomly distributed within the gel network subchains. The glucose-induced VPTT shift observed in the PBA−microgel conjugates can be exploited to produce microgels that exhibit on−off glucose swelling as a function of temperature or enhanced swelling responses over specific glucose concentration ranges at a single, tunable temperature. The “secondary” thermal phase transition is thus applied to effect an order-of-magnitude enhancement or suppression of the “primary” glucose-induced phase transition. Both linear and nonlinear microgel glucose sensors are subsequently designed which are active within targeted glucose concentration ranges.
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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".