A new strategy to apply<i>Bacillus subtilis</i>MA139 for the production of solid-state fermentation feed
Bibliographic record
Abstract
AIM: The study investigated the potential of using Bacillus subtilis MA139 in combination with Lactobacillus fermentum and Saccharomyces cerevisae to produce solid-state fermentation feed. METHODS AND RESULTS: In a pure fermentation, B. subtilis MA139 was able to grow and synthesize antimicrobial substances at temperatures from 25 to 37 degrees C and at a pH from 5.0 to 9.0. Subsequently, B. subtilis MA139, Lact. fermentum and S. cerevisae were used as starter strains co-inoculated in unsterilized substrate (feed-grade soybean meal and wheat bran). Following 10 days of fermentation in a newly developed plastic bag equipped with a one-way valve, lactic acid bacteria and Bacillus became the predominant strains while S. cerevisae cells decreased slightly. Enterobacteriaceae (Escherichia coli K88 and Salmonella typhimurium) were not detected. CONCLUSIONS: Use of B. subtilis MA139 as a starter strain co-inoculated with S. cerevisae and Lact. fermentum successfully controlled the growth of enterobacteriaceae. SIGNIFICANCE AND IMPACT OF THE STUDY: This study provided a facile and low-cost way to produce solid-state fermentation feed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".