Ring-Opening Metathesis Polymers for Biodetection and Signal Amplification: Synthesis and Self-Assembly
Bibliographic record
Abstract
The ring-opening metathesis polymerization (ROMP) was used to develop a new class of block copolymers toward biological detection with signal amplification. For this, three classes of ROMP monomers were synthesized: (i) luminescent and electrochemiluminescent transition-metal-containing monomers, with ruthenium, osmium, and iridium bipyridine units, (ii) biologically compatible monomers and macromonomers containing oligothylene glycol units, and (iii) bioconjugatable monomers as well as monomers containing the biorecognition unit biotin. ROMP was used to efficiently combine these monomers into amphiphilic di- and triblock copolymers. Self-assembly of these block copolymers in aqueous media generates micellar spherical assemblies, which contain a large number of luminescent transition-metal centers in their core, a biocompatible and biologically inert protecting shell, and biological recognition units or bioconjugatable groups on their periphery. These micelles can act as luminescent markers for biological molecules with potential for signal amplification. In addition, the monomers and polymers reported here can serve as useful biologically enabled building blocks for a number of applications, including drug delivery and tissue engineering.
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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 | 0.001 |
| 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".