Generic capillary electrophoresis conditions for chiral assay in early pharmaceutical development
Bibliographic record
Abstract
Generic capillary electrophoresis (CE) conditions have been implemented for chiral separations in early pharmaceutical development. The chiral CE separations of several pharmaceutical samples at different stages of development, i.e., discovery, process chemistry, and investigative new drug application, have been obtained using sulfated beta-cyclodextrin (CD). Several sulfated beta-CDs have been screened to select an appropriate enantioselective agent. The use of a generic CE method allows for a convenient and rapid chiral recognition of different weak bases, with minimal or no method development. CE using sulfated beta-CD for the chiral separation of N-benzoyl methyl piperazine has been validated for linearity, precision, accuracy, limits of detection and quantitation (LOD, LOQ). Although less sensitive than a specific liquid chromatography method using a Chiralpak AD column, the overall performance of the chiral CE method was found comparable. Validation data demonstrate that a LOD of 0.1%, sufficient to fulfill regulatory requirements, is achievable by chiral CE.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.005 |
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".