Effect of encapsulated carvacrol on the incidence of necrotic enteritis in broiler chickens
Bibliographic record
Abstract
There is an urgent need to control necrotic enteritis (NE) caused by Clostridium perfringens in chickens when antibiotics are withdrawn from feed. Carvacrol has strong antimicrobial activity and its delivery to the animal intestine can be significantly enhanced after encapsulation. The present study has investigated the potential of encapsulated carvacrol in controlling NE. In general, micro-encapsulation of carvacrol in an alginate-whey protein matrix showed no adverse effect on its antimicrobial activity towards C. perfringens in either Brain Heart Infusion (BHI) broth or a simulated gastrointestinal model. The minimum inhibitory concentrations of both encapsulated and un-encapsulated carvacrol were approximately 200 μl/l against C. perfringens in BHI. In a broiler infection model with C. perfringens, the diets supplemented with encapsulated carvacrol at the dose of either 250 or 650 μg/g significantly reduced NE in the chicken intestine, which was close to the degree of lesions observed in bacitracin/salinomycin treated birds. Supplementation with either bacitracin/salinomycin or encapsulated carvacrol showed no significant impact on intestinal burden of Lactobacillus. However, the treatment with bacitracin/salinomycin or the low dose of encapsulated carvacrol reduced the level of C. perfringens in the ileum of birds at 35 days of age. These results suggest that our encapsulated carvacrol can be used to combat NE disease in chickens.
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 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 | 0.000 | 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 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".