Microcapillary Electrophoresis Device Fabrication Using Ultraviolet Laser Ablation: Application for Detection of Levofloxacin in Dairy
Bibliographic record
Abstract
This work explores a fabrication technique for producing glass-based microfluidic devices for the purpose of performing capillary electrophoresis analysis of biochemical samples, including the detection of fluoroquinolone-class antibiotics in cow’s milk. This exploration employs ultraviolet laser ablation to produce high-quality microcapillaries in two low-cost glass substrates: soda-lime glass and borosilicate glass. This technique enables the in-house fabrication of such devices without the need for caustic chemical etchants and yields smooth channel surfaces capable of inducing electroosmotic flow. This study provides a thorough characterization of the laser milling system, demonstrating the relationship between optical fluence and microchannel cut depth and quality. Furthermore, a practical application of the microfluidic device is demonstrated experimentally via an electrophoretic separation of a cow’s milk sample containing the antibiotic levofloxacin. This experiment showed a detection time of less than 5 minutes. [2025-0131]
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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) | 0.000 | 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 | 0.001 | 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 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".