Method Development: The Antioxidant and Antifungal Activity of the Isolated Component from the Ethanolic Extract of Tecoma stans Leaves Using Flash Chromatography
Bibliographic record
Abstract
Tecoma stans is an ornamental perennial tropical and subtropical plant belonging to the Bignoniaceae family with green leaves and yellow attractive fragrance flowers and commonly known as yellow trumpetbush or yellow bells. The plant originated in the tropical areas of South America and Mexico and has been cultivated in many countries such as Egypt, Iraq, and the United Arab Emirates (UAE). T. stans has been found in different parts of the UAE such as Ras Al Khaimah, Abu Dhabi, and Dubai, where it can be seen in public parks, side roads, and home gardens. The Flash Chromatography System is used in different aspects of drug discovery studies because of its ability to purify secondary metabolites from crude plant extracts. A method was developed using the Flash Chromatography System to isolate three components from the ethanolic extract of T. stans leaves that showed in vitro antioxidant activity. In vitro evaluation of the antioxidant activity of the isolated components of T. stans was conducted using 1,1-diphenyl-2-picryl hydrazyl and 2, 2′-azinobis-3-ethylbenzothiazoline-6-sulfonic acid methods. Isolated components A-4, A-3, and A-2 had antioxidant activity when compared to ascorbic acid. Component A-3 showed antioxidant activity using the DPPH and ABTS methods; antifungal activities when tested against Candida albicans; and more than 80% inhibitions in the third dilution when compared to itraconazole and nystatin as positive controls. This rapid and efficient method using flash chromatography was used for the isolation and purification of an isolated component A-3 that showed both antioxidant and antifungal activities.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".