PRELIMINARY SCREENING, QUANTITATIVE ANALYSIS, ANTIOXIDANT AND ANTIMICROBIAL ACTIVITIES OF MUSHROOMS ALONG WITH FTIR ANALYSIS
Bibliographic record
Abstract
The present study mainly focused on identifying the efficiency of polypore mushrooms and exploring their medicinal value. In this experiment, the antioxidant and antimicrobial potentials of three mushrooms Trametes pubescens (Schumach.) Pilat, Spongipellis pachyodon (Pers.) Kotl. & Pouzar and Inonotus hispidus (Bull.) P. Karst. were tested along with their qualitative and quantitative analysis. The antioxidant and antimicrobial activities of methanolic crude extracts were determined using the Frap assay (ferric reducing antioxidant power) and agar well diffusion method respectively. The methanolic extracts of all three mushrooms revealed the presence of alkaloids, carbohydrates, proteins, phenolics, flavonoids, saponins, terpenoids, and cardiac glycosides. The antioxidant activity of Trametes pubescens, Spongipellis pachyodon, and Inonotus hispidus found to be 19.83±0.5, 38.5±0.8 and 39.5± 0.9 mg Fe (Ⅱ)/g of sample, respectively. The antimicrobial activity was tested against Staphylococcus aureus, Bacillus subtilis and Psuedomonas species. The inhibition zone was measured, in which all three species show maximum inhibition against Staphylococcus aureus. The correlation coefficient showed a positive relationship between total flavonoid content and antioxidant activity (r = 0.9). The Fourier Transformed infrared (FTIR) profiling indicates the presence of functional groups in these species for its pharmaceutical activities.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".