Temperature Dependence of Fusion and Fragmentation Kinetics of Triton X-100 Micelles
Bibliographic record
Abstract
This paper describes micelle exchange kinetics as a function of temperature for a pyrene derivative 1, a triglyceride containing a pyrenebutyrate ester, solubilized in aqueous micelles of Triton X-100. The kinetics were followed by stopped-flow fluorescence time-scan measurements in which the disappearance of excimer over time was monitored. Two components of the exchange process could be separated: a first-order process with an activation energy of 110 kJ/mol, and a second process with an activation energy of 160 kJ/mol. Because the second-order process had a rate ( k 2 ≈ 1 × 10 6 M - 1 s - 1 ) at 24.6 °C that was nearly independent of the pyrene probe ( 1, 1-octylpyrene, 1-dodecylpyrene), the second-order process was assigned to a fusion-fragmentation mechanism, rather than a “sticky-collision” mechanism. The rates of the first-order process ( k 1 ≈ 12 s - 1 for 1 ) at 24.6 °C increased with decreasing size of the probe. This step was attributed to a fragmentation-growth mechanism in which the fragmentation rate is rate limiting. Exchange by this mechanism must involve fragmentation of a micelle containing two probe molecules to form two sub-micelles large enough to bear one of the probes.
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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) | 0.000 | 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 | 0.001 |
| 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".