Grafting pH‐Responsive Copolymers to Cold Water‐Soluble Starch Using Nitroxide‐Mediated Polymerization
Bibliographic record
Abstract
Abstract Starch biopolymers are made pH‐responsive through the grafting of copolymers based on poly(2‐(dimethylamino)ethyl methacrylate) (PDMAEMA) and poly(2‐(diethylaminoethyl) methacrylate) (PDEAEMA). This is the first report of the grafting to modification of soluble starch via nitroxide‐mediated polymerization (NMP). The pH‐sensitive amino‐based polymers are first synthesized in bulk by NMP where a small amount of styrene is added to improve the reaction control. A 4‐vinylbenzyl chloride functionalized cold water‐soluble starch (CWS) is then modified with the copolymers via a grafting to mechanism. The final CWS grafted copolymers have high starch contents (≈75 wt%). These grafted materials are shown to be pH‐responsive by titration, switching from positive zeta potential at low pH to negative zeta potential at high pH. The measured zero zeta potential intersect at the polymer pKaH corresponds well with literature for PDMAEMA but poorly for PDEAEMA, owing to the hydrophobic local environment for PDEAEMA.
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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".