Graft modification of starch nanoparticles with pH‐responsive polymers via nitroxide‐mediated polymerization
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The grafting to approach and nitroxide‐mediated polymerization (NMP) were used to graft modify starch nanoparticles (SNP) with pH‐responsive polymers. SG1‐capped poly(2‐(dimethylamino)ethyl methacrylate‐co‐styrene), P(DMAEMA‐co‐S), and poly(2‐(diethylamino)ethyl methacrylate‐co‐styrene), P(DEAEMA‐co‐S), with relatively low dispersity and high degree of livingness was synthesized in bulk via NMP using a commercial available alkoxyamine. These macroalkoxyamines were then grafted to vinyl benzyl‐functionalized SNP (SNP‐VBC) to obtain pH‐responsive materials. The grafted SNP were characterized by proton nuclear magnetic resonance spectroscopy, Fourier transform infrared spectroscopy, thermogravimetric analysis, and elemental analysis confirming the successful synthesis of these new materials. Low grafting efficiencies (~6%) were observed for both SNP ‐ grafted materials with pH‐responsive polymers, as expected when using the grafting to approach. The pH‐responsiveness of SNP‐g‐P(DMAEMA‐co‐S) and SNP‐g‐P(DEAEMA‐co‐S) was confirmed by measuring the ζ ‐potential at different pH values. At acidic conditions (pH 3–6) the grafted materials were protonated and exhibited positive ζ ‐potential, whereas at basic conditions (pH 10–13) the same grafted materials were deprotonated and exhibited negative ζ ‐potential.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 it