Validation of a Method for the Determination of Narasin in the Edible Tissues of Chickens by Liquid Chromatography
Bibliographic record
Abstract
Maxiban and Monteban are 2 products marketed by Elanco Animal Health. They contain narasin and are used for the prevention of coccidiosis in chickens. Products used in the European market must be regularly re-registered with new data to support label claims. This study was undertaken as part of such a re-registration effort. A method for the determination of narasin in poultry tissue was previously registered with the authorities; however, a method with more environmentally friendly solvents was desired. The Canadian Food Inspection Agency accomplished this goal and published an improved method. In order to register the method with European authorities as the official Elanco method for determination of narasin, Elanco scientists were required to provide validation data for all edible poultry tissues. This paper shows the validation of the method to detect residues of narasin using solid-phase extraction followed by liquid chromatographic analysis utilizing post-column derivatization.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".