Polymeric architecture as a tool for programming sequential enzyme-induced mesophase transitions
Bibliographic record
Abstract
Di- and tri-block amphiphiles can form different mesophases ranging from micelles to hydrogels depending on their chemical structures, hydrophilic to hydrophobic ratios, and their ratio in the mixture. In addition, their different architectures dictate their exchange rate between the assembled and unimer states, and consequently affect their responsiveness towards enzymatic degradation. Here we report the utilization of the different reactivities of di- and tri-block amphiphiles towards enzymatic degradation as a tool for programming formulations to undergo three sequential enzymatically induced transitions from: (i) micelles to (ii) hydrogel and finally to (iii) dissolved polymers. We show that the rate of transition between the mesophases can be programmed by changing the ratio of the amphiphiles in the formulation, and that the hydrogels can maintain encapsulated cargo, which was loaded into the micelles. The reported results demonstrate the ability of molecular architecture to serve as a tool for programming smart formulations to adopt different structures and functions.
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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".