Comparison of protease activities in different<i>Bacillus licheniformis</i>strains using wastewater sludge and synthetic soy medium as raw material
Bibliographic record
Abstract
The production of extracellular protease by different Bacillus licheniformis strains (ATCC 21415, ATCC 21417 and ATCC 21424) was tested in wastewater sludge as a raw material as well as in synthetic soy medium to compare the capacity of protease production by different strains and to compare the capacity of the medium to provide nutrients for enzyme synthesis. All of the strains showed similar activities in both media. The protease activity was very high in the fermentor in both of the media compared with the shake flask. Results from microbial selection indicated that ATCC 21424 had high potential for protease production using sludge as a growth medium. The observation from this study suggested that wastewater sludge could be used as a raw material (nutrient source) to produce protease for industrial applications.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".