First- and Zero-Order Kinetics of Porogen Release from the Cross-Linked Cores of Diblock Nanospheres
Bibliographic record
Abstract
The porogen poly(2-hydrocinnamoyloxyethyl methacrylate) containing some adenine groups P(hCEMA- r -A) was prepared and separated into five fractions. The porogen and diblock copolymer poly{(2-cinnamoyloxyethyl methacrylate)- random -(2-hydrocinnamoyloxyethyl methacrylate)- random -[2-(1-thyminylacetoxyethyl methacrylate)]}- block -poly( tert -butyl acrylate), P(CEMA- r -hCEMA- r -T)- b -P t BA, formed micelles with P t BA coronas and P(CEMA- r -hCEMA- r -T)/P(hCEMA- r -A) cores in chloroform/cyclohexane. The cores of the micelles were cross-linked due to photodimerization of the CEMA units. Dispersion of the nanospheres in deuterated N, N -dimethylformamide (DMF- d 7 ) triggered porogen release, and the kinetics were followed by NMR spectroscopy. While the release of the low-molar-mass fractions followed approximately the first-order rate law, zero-order kinetics was observed for the release of the fraction with the highest molar mass. The rationale for the first- to zero-order kinetic transition was given. Also justified is the scaling relation observed between the diffusion coefficient and molar mass of the porogens. This zero-order release kinetics may find applications in controlled drug delivery.
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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 | 0.001 |
| 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 | 0.001 |
| 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".