Influence of Chitosan-Alginate Microcapsules Containing Anti-Vibrio Harveyi IgY in the Gastrointestinal Tract Simulation
Bibliographic record
Abstract
Egg yolk immunoglobulin (IgY) is an alternative treatment for the prevention of gastrointestinal infections in pigs, cows, chickens and fish. In our previous report, we preliminarily proved that anti-V. harveyi IgY had effective potential to control luminous disease in black tiger shrimp. However,IgY activity may be reduced or destroyed by gastric conditions, particularly low pH and digestive enzymes. Therefore, it is necessary to find an effective method to preserve the therapeutic function of IgY antibodies during gastric passage. Chitosan-alginate microcapsules have been developed to protect IgY from gastric inactivation. The processing factors included different forms of chitosan and alginate, while a CaCl2 concentration and encapsulation medium was investigated. The optimum results were obtained under the following conditions: High Mw chitosan concentration 0.2% (w/v), medium viscosity alginate concentration 2% (w/v), CaCl2 concentration 0.5% (w/v). The stability of IgY in simulated gastric fluid (SGF, pH 1.2) was greatly improved by encapsulation in chitosan-alginate microcapsules, and retained greater than 90% activity after 2 h exposure to SGF. Less than 10% IgY was released upon the microcapsules’ exposure to SGF for 2 h, and more than 80% IgY was released upon the microcapsules’ exposure to simulated intestinal fluid (SIF, pH 6.8) for 16 h.
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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 | 0.000 |
| 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".