Using Self-Assembly To Prepare Multifunctional Diblock Copolymers Containing Azopyridine Moiety
Bibliographic record
Abstract
Diblock copolymers composed of polystyrene (PS) and a polymethacrylate containing an azopyridine side group (PAzPy) were synthesized using atom transfer radical polymerization for the first time. While conserving the photoactivity related to the trans−cis photoisomerization of azo dyes, the azopyridine moiety made possible the easy use of self-assembly to add new functionalities to the PAzPy block, leading to multifunctional diblock copolymers. On one hand, three carboxylic acids (one aliphatic, one aromatic, and one chiral acid) were complexed with azopyridine moieties through hydrogen bonding which transformed the amorphous PAzPy block into a liquid crystalline (LC) block. Self-assembly-induced LC phases, dependent on the nature of the acid used, could enhance the photoinduced orientation of azopyridine moieties. On the other hand, zinc−tetraphenylporphyrin (ZnTPP) was linked to azopyridine through coordination interaction between the metal and pyridyl group, showing effective loading of metal−porphyrine inside microdomains of the PAzPy block. The complexation with ZnTPP made the PAzPy block become both photoactive and electroactive. This work demonstrates the interest of the strategy of exploiting self-assembly through the use of azopyridine-containing block copolymers.
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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) | 0.001 | 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 | 0.001 |
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".