Surfactant bilayer coatings in narrow-bore capillaries in capillary electrophoresis
Bibliographic record
Abstract
The cationic surfactants didodecyldimethylammonium bromide (DDAB) and dioctadecyldimethyl-ammonium bromide (DODAB) have previously been shown to form semi-permanent coatings that effectively prevent adsorption of cationic proteins in fused silica capillaries with inner diameters of 25-75 µm. This paper investigates the impact that narrower capillary diameters (≤25 µm) have on the stability of surfactant bilayer coatings and the efficiency of separations of model cationic proteins and neurotransmitters. Using a DODAB-coated 5 µm i.d. capillary 210 consecutive protein separations (1050 min) were performed without recoating the capillary between runs. Separation efficiencies of 1,400,000-2,000,000 plates per m (340,000-430,000 plates) were obtained. Migration time reproducibilites of 6.8% RSD were observed for 300 injections performed over a 30 day period without any regeneration of the coating. Neurotransmitters were separated with efficiencies ranging from 470,000-610,000 plates per m (110,000-140,000 plates) in a 5 µm capillary.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".