CO<sub>2</sub>-Responsive Polymer Single-Chain Nanoparticles and Self-Assembly for Gas-Tunable Nanoreactors
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Bibliographic record
Abstract
CO 2 -responsive polymer single-chain nanoparticles (SCNPs) and self-assembled micellar aggregates are investigated as gas-controlled, rate- and size-tunable nanoreactors of gold nanoparticles (AuNPs). On one hand, SCNPs are prepared from a random copolymer of poly{( N, N -dimethylaminoethyl methacrylate)- co -4-methyl-[7-(methacryloyl)oxy-ethyl-oxy]coumarin} (P(DMAEMA- co -CMA)). When dispersed in aqueous solution, individual nanoparticles can undergo reversible swelling/shrinking under alternating CO 2 /N 2 stimulation as a result of the reversible protonation/deprotonation of tertiary amine groups. On the other hand, tadpole-like single-chain “Janus” nanoparticles (SCJNPs) are prepared using an amphiphilic diblock copolymer of PS- b -P(DMAEMA- co -CMA) (PS is hydrophobic polystyrene). This type of SCJNPs can self-assemble into core–shell micellar aggregates in aqueous solution. Under CO 2 /N 2 stimulation, the collective swelling/shrinking of SCJNPs within the micelle results in large, reversible volume change. Both P(DMAEMA- co -CMA) SCNPs and PS- b -P(DMAEMA- co -CMA) SCJNP micelles are explored as gas-tunable nanoreactors for AuNPs. The rate of AuNP formation increases under CO 2 stimulation and decreases upon N 2 bubbling, which makes it possible to tune the reaction rate up and down (on/off switching) by using the two gases. Moreover, using the micelles of SCJNPs, whose volume can be controlled over a wide range by adjusting the CO 2 stimulation strength, variable-size AuNPs and their aggregates are obtained with continuous redshift of the surface plasmon resonance (SPR) into the long-wavelength visible light region.
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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 | 0.000 | 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 it