Optimization of medium and cultivation conditions for<scp>l</scp>-amino acid oxidase production by<i>Aspergillus fumigatus</i>
Bibliographic record
Abstract
A fungal strain was selected from the microbial repository of the North-East Institute of Science and Technology, Jorhat, India, which could produce a high yield of L-amino acid oxidase. 18SrRNA, ITS1, 5.8SrRNA ITS2, and partial 28 S rRNA sequencing and phenotypic characteristics indicate that it belong to the species Aspergillus fumigatus (designated as P13). Maximum production of enzyme (59.55 x 10-3 U/mg dry cell mass) was obtained in a medium containing 10 g/L glucose, 4 g/L yeast extract, and 4 g/L ammonium sulfate, with 20 mmol/L of L-threonine as the inducer. The optimum temperature for enzyme production was 30 degrees C at pH 7.0, with a shaking speed of 200 r/min. At 96 h, the enzyme activity was maximum. The A. fumigatus P13 L-amino acid oxidase accepts a broad substrate range, and the maximum enzyme activity (20.41 x 10-3 U/mg dry cell mass) was obtained with 50 mmol/L of L-tyrosine. In the literature, no reports have been found regarding the production of L-amino acid oxidase by A. fumigatus. The enzyme showed enantiomerically pure amino acid formation, which has tremendous demand in industrial applications.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".