Modeling the Micellization Behavior of Mixed and Pure <i>n</i>-Alkyl-Maltosides
Bibliographic record
Abstract
The micellization behavior of a series of n-alkyl-maltosides in aqueous solution was studied by isothermal titration calorimetry (ITC) and dynamic light scattering (DLS) at 25 degrees C. Demicellization experiments were conducted with single component micelles of octyl (OM), nonyl (NM), decyl (DM), undecyl (UM), and dodecyl (lauryl, LM) maltoside and binary mixtures of LM with OM, NM, DM and UM, respectively. A model was derived on the basis of the pseudophase approximation to fit the complete demicellization curves. It yielded good global fits of the curves obtained at different mixing ratios and ranging over >3 orders of magnitude in concentrations. It provides a quantitative explanation for the two-range coassociation behavior of the surfactant mixtures also in the absence of second critical micelle concentration (CMC) phenomena. The hydrodynamic radius, RH, of the mixed micelles was the average of that of the pure components as seen by noninvasive backscattering (NIBS) DLS. Methylene group contributions were constant for octyl through myristyl chains, amounting to -3.1 kJ/mol for the standard free energy and -1.8 kJ/mol for the enthalpy of micellization. RH increased by 0.25 nm per methylene.
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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) | 0.000 | 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".