Enhanced Stability Self-Assembled Coatings for Protein Separations by Capillary Zone Electrophoresis through the Use of Long-Chained Surfactants
Bibliographic record
Abstract
Semipermanent coatings were generated within fused-silica capillaries by flushing the capillary with a 0.1 mM solution of the double-chained cationic surfactants didodecyldimethylammonium bromide, dimethylditetradecylammonium bromide (2C(14)DAB), dihexadecyldimethylammonium bromide, and dimethyldioctadecylammonium bromide (2C(18)DAB) and the triple-chained surfactant tridodecylmethylammonium iodide. All of these coatings were semipermanent, whereby the coating remained intact after the unadsorbed surfactant was removed from the capillary. The separation efficiencies for four model cationic proteins ranged from 1.2 to 1.4 million plates/m for the 2C(14)DAB coating to 0.3-0.4 million plates/m for the 2C(18)DAB coatings. The stability of the coating increased with increasing hydrophobicity of the surfactant (i.e., increasing chain length and decreasing cmc). Over 60 successive separations were performed on a 2C(18)DAB-coated capillary over 12 days, without any regeneration of the coating. The migration times varied by less than 2.3% over this period with no loss in efficiency.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".