Optimal Wavelengths and Solvents to Modulate Diazirine Kinetics
Bibliographic record
Abstract
Diazirine photolysis generates reactive carbene species, useful for indiscriminate cross-linking and insertion reactions with amino acids and polyolefins. However, methods to increase the carbene efficiency and limit the benign diazoalkane intermediate remain uncharted. Herein, we correlate diazirine depletion to common experimental parameters such as LED wavelength, temperature, solvent, and grafted functional groups. Broad wavelength activation impeded the formation of diazoalkane, presenting a light-based method to limit this yellow-inducing intermediate. Kinetics rate (per joule) values of diazirine depletion and diazoalkane generation served as the performance metric, permitting comparisons across all parameter variables. Photokinetics were independent of temperature from 25 to 70 °C. Highest rates were found in ester-containing solvents and ether conjugated diazirine. Overall, the novel irradiation arrangement reduces the reliance on UVA for photoactivation and increases the efficiency of diazirine as a carbene precursor.
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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 | 0.001 |
| 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) | 0.001 | 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".