Physico-Chemical, Phytochemical and Antioxidant Evaluation of Zizyphus nummularia (Burm. F.) Stem Bark
Bibliographic record
Abstract
Zizyphus nummularia (Burm. F.) (Family: Rhamnaceae) used as a folk medicine. The study was designed to lay down the various physicochemical and phytochemical standards which will be helpful to ensure the purity, safety, and efficacy of this medicinal plant. In the lime light of fewer and less potent antioxidant extracts, it is screened for antioxidant potency also. All physico-chemical properties were found within the measurable amount. Preliminary phytochemical analysis confirmed the presence of alkaloids, flavonoids, tannins and steroids. Total phenolic content and flavonoid content was found to be 10.7±0.1 and 2.57±0.1 respectively. Extract also found to posses significant antioxidant activity which can be correlated with phenolic content. IC50 of 0.042 mg/mL was found during DPPH radical scavenging activity. 2.75 mmol AA/ mg extract was found to be as total antioxidant capacity along with a concentration of 383.4 µg/ml during reducing power activity. The study would help in the authentication stem bark useful for laying down pharmacopoeial standards and help in finding improved antioxidant agents from the extract. It is found to be posse’s significant antioxidant property, possibly by adsorbing and neutralizing free radicals.
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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".