Phytochemistry and Pharmacological Values of Rocket (<i>Eruca sativa</i> Miller) -- A Review
Bibliographic record
Abstract
Rocket ( Eruca sativa Miller) is an annual herbaceous oilseed plant of family Brassicaceae. Its phytochemistry and pharmacological values have been reviewed in the present paper. The reported phytochemical studies conducted on various parts of E. sativa plant revealed the presence of flavonoid compounds, alkaloids, cardiac glycosides, phenolics, saponins and tannins ascorbic acid, essential oil. The essential oil contains volatile components as well as a great amount of sulfur- and nitrogen-possessing compounds. The rocket plant is high in erucic acid. The rocket oil also has glucosinolate methylsulphinylbutyl isothiocyanate which induce enzymes activity. It is generally used as a food, in which the leaves are eaten as part of salads. Medicinally it is used for increasing fertility and sperm production, eye infection (antibacterial). It is also helpful in digestive process and kidney activities. E. sativa is mainly responsible for different biological and pharmacological activities such as: antimicrobial, antibacterial, anti-fungal, antitumour, analgesic, antioxidant, antidiabetic, antidiarrhoeal, anti-inflammatory, anti-giardial activity etc. Although plenty of compounds were isolated from this plant, but further bioactivities have not been widely investigated yet. And further efforts concerning therapeutic significance are necessary (to investigate formulas) for the improvement of human health.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".