Bioactive Compounds of Fresh and Dried Pleurotus ostreatus Mushroom
Bibliographic record
Abstract
Chemical composition of the fresh and dried mushroom Pleurotus ostreatus and their bioactive secondary metabolic products were studied.The ethanolic extracts of the P. ostreatus cultivated on rice straw supplemented by wheat bran were studied by Gas Chromatography/Mass Spectrometry (GC/MS) analysis.A total of hundred and seven metabolites were detected in tested samples.These include 56 metabolites only detected in fresh sample, 37 metabolites only detected in dry sample, and 14 metabolites were detected in the both samples.The detected metabolites could be classified into nine chemical groups including 2 metabolites related to acids, 5 alcohols, 27 alkane, 3 amides, 27 esters, 8 fatty acids, 4 terpenoids, 29 heterocyclic and 2 phenols.The bioactivity of the metabolic products could be classified: anticholesterol, anticancer and essential fatty acids which support human health.On comparison between fresh and dried P. ostreatus samples, we found that the high number of metabolites was recorded in the fresh extract.Fifty five aroma compounds were recorded and including (27 esters, 9 ketones, 7 thiols, 5 alcholos, 4 terpenoids, 2 phenols and 1 aldehyde).The selenium content in P. ostreatus samples was measured by using ACAL -APR -51-00 test methods and showed that the fresh sample has 58.24 mg/kg but the dry sample has 100.31 mg/kg.
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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 | 0.001 | 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".