Studies on Blood Pharmacokinetics and Bioavailability of Ceftiofur in Ducks
Bibliographic record
Abstract
The concentration of desfuroyiceftiofur(DFC) which is the metabolites of ceftiofur was detected with high performance liquid chromatogram(HPLC),and the pharmacokinetics parameters were analyzed with 3P97.The pharmacokinetic characteristics of ceftiofur after intravenous injection were best described by a one-compartment open model,the main pharmacokinetic parameters were as follows: t1/2 2.28 h,Co 27.29 μg·mL-1,ke 0.30 h-1,Vc 0.07 L·kg-1 and AUC 100.07 mg·L-1·h-1.After oral administration,the plasma concentration-time data was fitted to a two-compartment open model,and the main pharmacokinetic parameters were as follows: t1/2ɑ 1.64 h,t1/2β 26.85 h,tmax 1.09 h,Cmax 9.08 μg·mL-1,AUC 89.60 mg·L-1·h-1 and the bioavailability 89.54%.The pharmacokinetic characteristics of ceftiofur following intramuscular injection were best described by a two-compartment open model,and the main pharmacokinetic parameters were as follows: t1/2ɑ 2.28 h,t1/2β 14.84 h,tmax 0.28 h,Cmax 15.23 μg·mL-1,AUC 99.32 mg·L-1.h-1 and the bioavailability 99.25%.These results showed that after intramuscular injection and oral administration in ducks,ceftiofur had rapid absorption,extensive distribution,long half-time and high bioavailability.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".