Evaluation of nitrogenous media components by Plackett–Burman statistical design for β-<scp>d</scp>-fructofuranosidase production by <i>Saccharomyces</i> sp. strain GVT263
Bibliographic record
Abstract
beta-d-Fructofuranosidase (FFase), an important enzyme of the confectionery and fructose syrup industry, is produced by several microorganisms. However, yeasts are the most used source because of their high sucrose fermentation capacity. In this work, production of FFase was carried out in submerged fermentation using a high enzyme-producing yeast strain. Plackett-Burman statistical experimental design was applied to evaluate the fermentation medium components. The effects of 10 nitrogen sources were studied in a 16-run experimental design. Beef extract, yeast extract, N-Z-amine, tryptone, meat extract, and ammonium acetate were found to have significant effects on enzyme production. Among these, yeast extract, N-Z-amine, and ammonium acetate were the most significant. A maximum FFase activity of 299.4 U/mL was obtained after a 24 h fermentation period.
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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 | 0.020 | 0.009 |
| Meta-epidemiology (narrow) | 0.005 | 0.002 |
| Meta-epidemiology (broad) | 0.007 | 0.003 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".