Anionic polymerisation of phosphaalkenes bearing polyaromatic chromophores: phosphine polymers showing “turn-on” emission selectively with peroxide
Bibliographic record
Abstract
Three new phosphaalkenes bearing C-aryl chromophores, MesPCPh(Ar) (1a: Ar = 1-naphthyl, 1b: 9-phenanthryl, 1c: 5-dibenzosuberenyl; Mes = 2,4,6-trimethylphenyl), are reported. Each phosphaalkene was characterised by multinuclear NMR spectroscopy (1H, 13C, 31P), X-ray crystallography, mass spectrometry, UV/Visible spectroscopy and elemental microanalysis (1b and 1c). Monomers 1a and 1b were successfully polymerised using anionic methods of initiation (n-BuLi: 5 and 1.5 mol%, respectively) to afford poly(methylenephosphine)s (PMPs: 2a: Mn = 15 100 Da, PDI = 1.14; 2b: Mn = 17 500 Da; PDI = 1.39). Detailed NMR spectroscopic analysis of polymer 2a revealed that its microstructure is primarily composed of [P(CHPhNaph)–(4,6-Me2C6H2)–2-CH2]n units rather than the expected [P(Mes)–CPh2]n. Functional polymer 2a was oxidised to the phosphine oxide 2a·O or phosphine sulfide 2a·S, and coordinated to borane to afford 2a·BH3 or gold(I) to afford 2a·AuCl. Significantly, 2a shows “turn-on” emission properties selectively as its oxide 2a·O (λex = 286 nm; λem = 342 nm) which is prepared by treatment with hydrogen peroxide.
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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 | 0.001 |
| 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".