Preparation and Application of a Dual Light-Responsive Triblock Terpolymer
Bibliographic record
Abstract
Reported are the preparation and application of a triblock terpolymer poly(ethylene oxide)- ONB -poly[2-(perfluorooctyl)ethyl methacrylate]- block -poly(2-cinnamoyloxyethyl methacrylate) (PEO- ONB -PFOEMA- b -PCEMA). Here PEO is water-soluble, PCEMA is photo-cross-linkable, PFOEMA is of low surface tension, and ONB denotes a photocleavable o -nitrobenzyl unit at the junction of the PEO and PFOEMA blocks. To prepare the copolymer, a macroinitiator bearing an ONB unit between PEO and the initiating site was first synthesized. FOEMA and 2-trimethylsilyloxyethyl methacrylate (HEMA-TMS) were then sequentially polymerized by atom transfer radical polymerization (ATRP) to yield the triblock copolymer PEO- ONB -PFOEMA- b -P(HEMA-TMS). Removal of the trimethylsilyl groups from the P(HEMA-TMS) block and cinnamation of the resultant poly(2-hydroxyethyl methacrylate) block with cinnamoyl chloride resulted in the targeted triblock copolymer. PEO- ONB -PFOEMA- b -PCEMA formed micelles in tetrahydrofuran/water at the water volume fraction of 80%, in which only the PEO block was soluble. Upon photolysis, the micellar PCEMA cores were cross-linked and the micellar coronal PEO chains were cleft, resulting in the precipitation of cross-linked PFOEMA- b -PCEMA nanoparticles. Films of the nanoparticles were water- and oil-repellent due to the exposure of the initially hidden PFOEMA block.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".