Phytochemical Investigation and Biological Activities of Some Saharan Plants from Hoggar
Bibliographic record
Abstract
Traditional medicine has a great impact on aboriginal heal thin Algerian Sahara and particularly in Hoggar. It is based on the use of local plants. This study is based on phytochemical screening. Antioxidant activity evaluation by two methods of 1,1-diphenyl-2-picrylhydrazyl (DPPH): bioautography and spectrophotometric assay, and microbiological activity of twelve plants species from nine families sampled in Hoggar. The antioxidant activity revealed by the bioautography (DPPH) showed a positive activity on aqueous extracts of ten species among the twelve assayed. Both species Lavandula pubescens subesp. antinea and Mentha longifolia (Lamiaceae) have reported a significant activity compared to the others. The comparison of antiradical activity bybioautography and phytochemical study by TLC showed the presence of cardiotonic glycosides, saponins and flavonoids which could be responsible of antioxidant activity or some species. The antimicrobial activity assay showed that plant aqueous extracts were inefficient on the majority of tested strains except for Balanites aegyptica extract on Bacillus subtilis ATCC6633. Moreover, remarkable antifungal activity of Aerva javanica aqueous extracts on four fungal strains such as Candida albicans C200, Aspergillus flavus AF1, Aspergillus carbonarius M333, Fusarium culmorum FC1was observed.
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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 | 0.001 | 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".