The Agro-industrial Byproduct Wheat Bran as an Inducer for Alkaline Protease (ALK-PR23) Production by Pschyrotolerant Lysinibacillus sphaericus Strain AA6 EMCCN3080
Why this work is in the frame
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Bibliographic record
Abstract
Abstract The current study aims to exploit the zero-cost inducer wheat bran (WB), an agro-industrial byproduct, for production of alkaline protease (ALK-PR23) by the hyper producer psychrotolerant Lysinibacillus sphaericus Strain AA6 EMCCN3080 for the first time ever. Incubation temperature (25 °C), yeast extract concentration, agitation speed (150 rpm), and aeration ratio [1 volume (liquid):5 volume (Erlenmeyer flask)] provoked ALK-PR23 production; OVAT inferences. The pH, yeast extract, and (NH 4 ) 2 SO 4 levels substantively triggered ALK-PR23 production as deduced from Plackett–Burman design. Incubation time (3 days) and WB [2% (w/v)] were the optimal values inducing positive significant influence on ALK-PR23 as conferred from steepest ascent experiments. Yeast extract (0.446% w/v), (NH 4 ) 2 SO 4 (0.339% w/v), and pH (6.872) prompted ALK-PR23 (592.5 U/mL) with an impressive 98-fold enhancement; Box-Behnken design and ridge steepest ascent path implications. The laboratory validation of the model achieved 100% of the predicted value. Laboratory data would present an eco-friendly, cheap, efficient approach towards concurrent WB recycling and massive production of alkaline protease (ALK-PR23) from L. sphaericus Strain AA6 EMCCN3080 . Present data would greatly encourage unveiling biochemical characteristics of ALK-PR23 in prospective studies. Graphical Abstract
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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 | 0.001 | 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 | 0.001 | 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 it