Enantioselective analysis of ofloxacin enantiomers by partial‐filling capillary electrophoresis with bacteria as chiral selectors
Why this work is in the frame
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Bibliographic record
Abstract
The enantiomeric separation of ofloxacin enantiomers (OFLX) was achieved by using capillary electrophoresis partial-filled with Escherichia coli, Pseudomonas aeruginosa (Gram-negative), and Staphylococcus aureus (Gram-positive) as chiral selectors. Experimental parameters, including the concentration of background electrolyte, applied voltage, length of the filled bacteria plug, and pH of the buffer, were intensively investigated. Baseline separation of OFLX could be achieved within 7 min by using E. coli and P. aeruginosa as chiral selectors under the following conditions: electrophoretic buffer composed of 10 mM phosphate buffer at pH 7.4, applied voltage at 15 kV, and the bacteria (6.0 × 10(8) cells/mL) were injected into the capillary by gravity with injection height of 17.5 cm for 180 s (E. coli), 300 s (P. aeruginosa), and 300 s (S. aureus), respectively. E. coli and P. aeruginosa had better chiral selectivity for OFLX than S. aureus, which was in good agreement with OFLX having better antimicrobial activity on Gram-negative rather than Gram-positive bacteria. A novel method was developed for the enantioselective separation of enantiomers using bacteria as chiral selectors, which provides a new approach for antimicrobials enantioselective analysis, chiral pharmacodynamics, and chiral pharmacokinetics studies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it