Utilization of Agro-Wastes to Produce Oyster Mushroom (Pleurotus ostreatus) with High Antioxidant and Antimicrobial Activities
Bibliographic record
Abstract
Oyster mushroom (Pleurotus ostreatus) is a good source of bioactive compounds that have numerous healthbenefits and medicinal properties. In this study, the effect of P. ostreatus cultivation in agro-waste substrates on itspotential as a food additive with antioxidant and antimicrobial activities was investigated. Extracts of P. ostreatus cultivatedon mixed rice and wheat straws (RS+WS) substrates showed higher total polyphenols (TPC), total flavonoids(TFC),α-tocopherol content, ferric reducing antioxidant power and antibacterial activities than those cultivated on ricestraw (RS) alone. The HPLC analysis of their ethanolic extracts revealed 11 phenolic compounds including p-hydroxybenzoic acid, naringenin, kaempferol and apigenin as major compounds. The aqueous and ethanolic extracts of bothcultivates showed significant antibacterial activity against Salmonella typhimurium, Escherichia coli, and Staphylococcusaureus, while no inhibitory effect on Bacillus cereus was observed. The results indicated that P. ostreatuscultivation is an effective bioconversion process that is capable to transfer agro-wastes into potentially valuable sourceof natural antioxidant and antimicrobial additives for further use in functional food products.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 teacher head, 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".