PHYTOCHEMICAL INVESTIGATION AND STUDY ON ANTIOXIDANT PROPERTIES OF OCIMUM CANUM HYDRO-ALCOHOLIC LEAF EXTRACTS
Bibliographic record
Abstract
Many herbal remedies individually or in combination have been recommended in various medical expositions for the cure of different diseases. Free radicals are implicated for many diseases including diabetes mellitus, arthritis, cancer, aging, etc. In the treatment of these diseases, antioxidant therapy has gained utmost importance. Currently there has been an increased interest globally to identify antioxidant compound that are pharmacologically potent and have low or no side effects. As plants are source of natural antioxidants, much attention has been gain to plants. The quest for natural antioxidants for dietary, cosmetic and pharmaceutical uses has become a major industrial and scientific research challenges over the last two decades. A variety of free radical scavenging antioxidants exists within the body in which many of them are derived from dietary sources like fruits, vegetables and teas. The Ocimum canum , commonly known as ‘Kala Tulsi’, has been recognized in different system of traditional medicines for the treatment of different diseases and ailments of human beings. In this study, Antioxidant activity of the hydro-alcoholic extract of Ocimum canum was determined by various antioxidant assays. In all the testing, a significant correlation existed between concentrations of the extract and percentage inhibition of free radicals. These findings suggest that the hydro-alcoholic extracts are able to scavenge free radicals, by either hydrogen or electron donating mechanisms, and can therefore act as primary antioxidants. The antioxidant property may be related to the phenols and flavonoids present in the extracts. These results clearly indicate that Ocimum canum can be effectively used against free radical mediated diseases. Key words: Ocimum canum , phytochemical constituents, traditional uses and pharmacological properties, antioxidant activity
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".