Synthesis and spectroscopic characterization of <font>Ni</font>, <font>Zn</font>, <font>Pd</font> and <font>Pt</font> tetra(pentafluorophenyl)porpholactone with comparisons to <font>Mg</font>, <font>Zn</font>, <font>Y</font>, <font>Pd</font> and <font>Pt</font> metal complexes of tetra(pentafluorophenyl)porphine
Bibliographic record
Abstract
Ni , Zn , Pd and Pt tetra(pentafluorophenyl)porpholactone (TFPL) were synthesized and identified by their optical and mass spectra. The lactone ring was produced from the parent free-base porphyrin using silver nitrate and oxalic acid with a yield of 73%, and the metals were inserted by standard procedures from metal salts. The compounds show intense Soret Bands in the region 390-420 nm. The longest wavelength visible absorbance peaks, in the region 572-608 nm, are weaker than the Soret peaks by a factor of only ~3 for the Ni , Pd , and Pt complexes but a factor of ~10 for the free-base and Zn complexes. As found with other metalloporphyrins the Ni complex is dark, Zn shows fluorescence and Pd and Pt complexes show strong phosphorescence. The Pd complex also shows a weak fluorescence not quenched by oxygen. The phosphorescence lifetimes of Pd and Pt complexes of TFPL in 3-methylpentane at 77 K are, respectively, ~1 ms and ~70 μs, about 60% that of the TFPP complexes. The wavelengths of phosphorescence emission, 733 nm and 758 nm for PtTFPL and PdTFPL, respectively, are sufficiently red-shifted so that these pressure sensitive luminophors can be included in the same pressure sensitive paint (PSP) as Eu complexes, whose emission at ~615 nm can serve as a temperature sensor. The fluorescences of Mg , Zn , and Y(TFPP) show weak origin bands, making them suitable as unquenched references for PSP.
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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".