Investigation of the Antioxidative Potential of Various Solvent Fractions From Fruiting Bodies of Schizophyllum commune (Fr.) Mushrooms and Characterization of Phytoconstituents
Bibliographic record
Abstract
The aim of the present study was to investigate the antioxidative potential of components extracted from the indigenous medicinal mushroom, Schizophyllum commune, using solvents of different polarities. The effectiveness of antioxidants in each solvent fraction was evaluated by quantitating the total phenolic content, 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging activity, cupric ion reducing antioxidant capacity (CUPRAC), peroxidation inhibition in the egg yolk system, metal chelating potential, and ?-carotene bleaching activity. Our findings revealved that the ethyl acetate fraction of S. commune had a phenolic content of 82.42±7.23 and exhibited good activities for DPPH radical scavenging (70.52±2.17%), CUPRAC (0.38±0.03), peroxidation inhibition (73.38±1.39%), metal chelating (81.29±4.19%), and Beta-carotene bleaching (63.25±2.5%) at concentration of 0.1 to 1.0 mg/mL. In addition, gas chromatography-mass spectrometry and liquid chromatography-tandem mass spectrometry were used to determine the volatile and non-volatile constituents of the potent antioxidative ethyl acetate fraction from cultivated S. commune fruiting bodies. This comprehensive analysis demonstrates that the ethyl acetate fraction of S. commune fruiting bodies is a viable source of natural antioxidants that can be utilized for functional foods and nutraceutical 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) | 0.000 | 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".