Influence of Accelerated Temperature on Thermal Stability of Inactivated Oil Based Vaccines
Bibliographic record
Abstract
Accelerated thermal stability of vaccines during shelf life has vital impact on its potency. Temperature directly affects the stability of the vaccines and degradation of immunogen depends upon the storage and environmental conditions. The current study was undertaken to evaluate the potency of three different inactivated oil based commercial vaccines under artificially induced thermal conditions such as 4°C, 24°C, 36°C and 45°C. The vaccines were analyzed for their viscosity, density, pH, stability, particle distribution and serological potency after 10, 20 and 30 days. It was revealed that vaccines stored for 30 days at 4°C upto 24°C showed significantly better physiochemical response and in vivo serological potency (p>0.05) as compared to vaccines stored for 30 days at 36°C and 45°C (p<0.05). Otto ND showed significantly better emulsion stability even under accelerated temperature at 45°C for 30 days (p>0.05) as compared to Gallimune and Medivac (p<0.05). The density of Medivac was stable under thermal stress conditions even at 36°C for 30 days (p>0.05) as compare to Otto ND and Gallimune vaccine (p<0.05). It is concluded that inactivated oil based ND vaccines can resist elevated thermal stress up to 36°C for 30 days without any ill effect on physiochemical properties of emulsion and decline in serological potency. The vaccines showed significant deterioration physically at temperature >30°C when stored for 30 days whereas, immunogenic response was protective with minimal uniformity. However, above vaccine could be used for effective immune-prophylaxis in poultry.
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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) | 0.000 | 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) | 0.001 | 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".