Production and Characterization of Downgraded Maple Syrup-Based Synbiotic Containing Bacillus velezensis FZB42 for Animal Nutrition
Bibliographic record
Abstract
The use of antibiotics to promote growth and prevent diarrhea in livestock production has raised concerns about the emergence of antibiotic-resistant bacteria. Probiotics, live microorganisms that confer health benefits, have been proposed as alternatives to antibiotics. In this study, we produced and characterized a downgraded maple syrup-based feed supplement containing Bacillus velezensis FZB42 as a potential synbiotic for animal nutrition. An optimized fermentation medium was developed through a central composite design to produce B. velezensis FZB42 at both the laboratory and pilot scale, reaching a concentration of 6.15 ± 0.46 × 109 CFU/mL. Subsequently, B. velezensis FZB42 was incorporated into a protective whey permeate matrix and spray-dried, resulting in a 31.4% yield with a moisture content of 4.38%. The survival of B. velezensis FZB42 in a simulated gastrointestinal tract was evaluated using the TIM-1 system, revealing a survival rate of 16.05% after passage through the gastric, duodenal, jejunal, and ileal compartments. These findings highlight the possibility of B. velezensis FZB42 being an economically viable and possibly functional synbiotic supplement and effective alternative to antibiotic growth promoters in livestock production.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".