In vitro antioxidant properties of Salvia verbenaca L.\nhydromethanolic extract
Bibliographic record
Abstract
Objective: To investigate the in vitro antioxidant activity of the hydromethanolic Faculté des Sciences extract of the aerial parts (leaves and stems) of Salvia verbenaca L. towards fatty El Jadida acids (linoleic and linolenic acids) and human, low density lipoproteins (LDL) Morocco peroxidation. 1 Research Center on Aging Materials and Methods: Lipid peroxidation was carried out in the presence of the Sherbrooke Geriatric University S. verbenaca L. hydromethanolic extract (10 and 100 µg of extract/ml).CuSO (10 Institute 4 µM) was used as the oxidation initiator.Conjugated dienes (CD) formation, oxygen University of Sherbrooke consumption and thiobarbituric acid reactive substances (TBARS) formation were Sherbrooke, Que.Canada assessed to monitor the antioxidant properties of the plant extract.Butylated 2 Laboratoire de Chimie Organique et hydroxytoluene (BHT) at 50 µg/ml was used as a standard antioxidant.The d'Etudes Physico-Chimiques quantification of total polyphenolic compounds was carried out, according to the Ecole Normale Supérieure Folin-Ciocalteu method.Rabat Results: The hydromethanolic extract of S. verbenaca showed a significant antioxidant Morocco effect at 100 µg/mL.A strong inhibition of oxygen consumption (92%, P<0.001) and CD formation of LDL peroxidation (92%, P<0.001) as well as TBARS formation of Received: 6.1.2006linolenic acid oxidation (93%, P<0.001) were observed.The quantitative analysis Revised: 4.4.2006Accepted: 30.5.2006revealed that the extract used contained a high amount of phenolic compounds, suggesting a possible role of these products in the observed antioxidant properties.
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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) | 0.001 | 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".