Purification and Characterization of Polygalacturonase Produced by Aspergillus niger AN07 in Solid State Fermentation
Bibliographic record
Abstract
Polygalacturonase, an industrial enzyme has been produced from various fungal isolates using solid state and submerged fermentation techniques. The challenge has been yield, extraction and cost of production. In the present study, a low cost solid substrate, dried papaya peel was employed for polygalacturonase production using Aspergillus niger AN07. Polygalacturonase enzyme from Aspergillus niger AN07 was purified to 24.8 fold with a 52.6% recovery through anion exchange chromatography on DEAE-cellulose and gel filtration chromatography using Sephadex G-200. The SDS-PAGE revealed that the enzyme was monomeric with a molecular weight of 64.5 kDa. The optimum pH and temperature were 5.0 and 55℃, respectively. This enzyme was stable over a wide pH range (4.0-7.0) and relatively high temperature of 55℃ for 1 h. The Km and Vmax values of polygalacturonase for polygalacturonic acid were 2.6 mg/l and 181.8 µmol/ml/min, respectively. The purified enzyme could digest the polygalacturonic acid into oligosaccharides with a small amount of galacturonic acid as visualized on thin layer chromatography.
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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) | 0.000 | 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 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".