Utilization of Quinolone Drugs as Monomers: Characterization of the Synthesis Reaction Products for Poly(norfloxacin diisocyanatododecane polycaprolactone)
Bibliographic record
Abstract
A broad spectrum antimicrobial agent, 1-ethyl-6-fluoro-1,4-dihydro-4-oxo-7-(1-piperazinyl)-3-quinolinecarboxylic acid (norfloxacin), has been successfully incorporated as a monomer into a polyurethane backbone structure via a three-step polymerization of norfloxacin, diisocyanatododecane (DDI), and polycaprolactone diol (PCL). The reaction was catalyzed by dibutyltin dilaurate and carried out in dimethyl sulfoxide. The sequential order of monomer feeding had a strong influence on the polymerization behavior and final polymer structure. In the preferred reaction scheme norfloxacin is initially reacted with DDI to form an oligomer. This is followed by a second reaction where PCL is introduced in order to produce a drug polymer chain with higher molecular weight and degradable segments. Cross-linking of urea linkages between the norfloxacin and DDI segments was a particular concern and was minimized by feeding PCL into the reaction system immediately following the completion of the first step. Chain extension by 1,4-butanediol or ethylenediamine was shown to be an effective approach for increasing the molecular weight of the polymers.
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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".