In Process Quality Control Factors Affecting Potency of Fowl Cholera Vaccine
Bibliographic record
Abstract
Fowl cholera (FC) is one of the respiratory syndromes of commercial layer, breeder and broiler farms in Pakistan. The disease is mainly controlled by vaccination. In the present study, effect of “in process quality control” factors such as amount of immunogen, chemical nature of adjuvant, fractions of bacterial culture and its storage on potency of the vaccine was investigated. Immunogen amount (1011CFU/ml) induced serum anti-Pasteurella multocida ELISA (anti-PM-ELISA) antibody titer in the vaccinated birds on 32 days post vaccination that was significantly higher (P<0.05) than that of 109 and 1010CFU/ml. Montanide based whole culture vaccine induced better antibody response as compare to aluminum hydroxide gel. Washed culture of P. multocida (bacterial sediment) induced significantly higher anti-PM-ELISA antibody titer as compared to the vaccine prepared from purified LPS or whole culture vaccine (p<0.05). Storage of oil based FC vaccine at refrigerated temperature for six months did not affect its immunogenicity. It is concluded that amount of immunogen, chemical nature of adjuvant, freeing of bacterial culture from LPS and media components and maintenance of cold chain are in process quality control factors affecting potency of the vaccine.
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".