PSIII-33 Stability and function of encapsulated Lactobacillus zeae for pig gut health
Bibliographic record
Abstract
Abstract Lactobacilli have been used in livestock production to improve animal gut health; however, they are heat sensitive, which limits their use as feed additives. We have developed a novel spray-drying encapsulation technology that resulted in an approximately 0.5-log reduction of Lactobacillus zeae LB1, a probiotic bacterium known for its potential to reduce the infections caused by Salmonella and enterotoxigenic E. coli in vivo. In this study, encapsulated LB1 was evaluated for its stability during storage and feed pelleting and for its potential to modulate piglet performance. After 14-month storage at 4℃ and 22℃ in a sealed container, the survival rate of encapsulated LB1 represented 17.1% and 85.6% reduction of the original concentration, respectively. In the feed pelleting test, the survived non-encapsulated LB1 in pelleted or mash feed was 1-log lower in the concentration than encapsulated LB1 on the 7th and 30th day after pelleting. To examine the influence of LB1 alone or in combination with colostrum on pig performance, 80 newly-weaned piglets were equally allocated to five groups: 1) basal diets (control-CTL); 2) basal diets supplemented with non-encapsulated LB1 (NEP); 3) basal diets supplemented with encapsulated LB1 (EP); 4) basal diets supplemented with bovine colostrum (BC); 5) basal diets supplemented with EP and BC (EP-BC, same dose as in Group 3 or 4). No significant difference in growth performance was observed between the CTL group and other dietary treatments after five days’ treatment. Supplementation of LB1 or colostrum individually did not affect the population size of Lactobacillus in the ileum and colon of pigs. However, the EP-BC group had a significantly increased population of Lactobacillus in both the ileum and colon (94.57-fold and 23.51-fold, respectively) compared with the CTL group. In conclusion, our encapsulation technology can increase survival and delivery of Lactobacillus zeae potentially beneficial to piglet performance.
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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) | 0.001 | 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".