GC-MS Analysis of Chemical Composition and Free Radical Scavenging Activity of <i>Elaeagnus angustifolia</i> Bark
Bibliographic record
Abstract
Elaeagnus angustifolia L., a hardwood species in the family of Elaeagnaceae, has long been used as part of traditional medicines to treat various diseases. However, limited study is available on the chemical composition and antioxidant activity of E. angustifolia bark. In this study, we undertook a phytochemical investigation of E. angustifolia bark by gas chromatographic and mass spectrometric (GC-MS) analysis. And antioxidant activity of the crude and following soluble fractions of E. angustifolia bark was evaluated by DPPH free radical scavenging assay. GC-MS investigation of 95% EtOH crude extracts from E. angustifolia bark detected 40 compounds, and DPPH free radical scavenging assay indicated that the bark EtOAc and BuOH soluble fractions exhibited significant antioxidant potential (IC50 values of 12.1 and 12.4 µg/ml, respectively) comparing with α-tocopherol and BHT (IC50 values 12.3 and 13.8 µg/ml, respectively), which were used as positive controls.
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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 | 0.000 |
| 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) | 0.001 | 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".