Whole-column imaging capillary electrophoresis of proteins with a short capillary
Bibliographic record
Abstract
Whole-column imaging capillary electrophoresis with a short capillary is discussed. A short capillary (3-6 cm) coated with either fluorocarbon or polyacrylamide was used as a separation capillary. The whole capillary was illuminated with 280 nm light, and the transmitted light was monitored by a linear charge-coupled device (CCD). For the short capillary, hydrodynamic flow caused by a subtle height difference between the anodic and cathodic reservoirs affected the sample migration in the capillary greatly. Several sample injection methods, including use of a cross connection, sealing of the capillary ends with a gel, and use of a gel-filled capillary, have been discussed. The experimental results showed that the peak height decreased and peak width increased with the electromigration distance. Therefore, higher sensitivity was obtained in a short capillary rather than a long capillary. The whole-column imaging CE with the short capillary has been applied for the study of conjugation reactions of protein cytochrome c with sodium dodecyl sulfate (SDS) and the dye Congo Red. The method has also been used for in situ monitoring of the electrophoretic protein desorption process. Our technique is a unique tool for the study of protein binding reactions and the interaction between analyte and inner wall of the 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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".