Phytochemicals content, screening and antioxidant/pro-oxidant activities of Carapa procera (barks) (Meliaceae)
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Bibliographic record
Abstract
Total phenolic, flavonoid and tannin contents together with antioxidant and pro-oxidant activities of Carapa procera were investigated. The antioxidant activity of Carapa procera was evaluated by 1,1-diphenyl-2-picrylhydrazyl (DPPH) assay, ferric reducing/ antioxidant power (FRAP) method and 2,2′-azino bis(3-ethylbenzthiazoline-6-sulfonic acid) (ABTS) assay. The study of pro-oxidant activity was based on the power producing of iron ion in the Fenton reaction . The total phenolic content (TPC) of the extract was exhibiting high value of 8.2 mg gallic acid equivalents (GAE)/ g of dried Carapa. The study revealed a low percentage of flavonoids 0.04% in the extract and 0.24 mg of tannic acid equivalents (TAE)/g of dried Carapa for the tannin content (TC). Proanthocyanidins were less represented among the tannins 6.80% of the extract. The chromatographic fingerprints showed the presence of tannins and acid, like (+)-catechin, epicatechin , trans-4-hyroxicinnamic, 3,4-dihydroxicinnamic and acid chlorogenic . Carapa procera exhibited high antioxidant activity in the both DPPH and ABTS assays, being 10.45 mg Vitamin C equivalents/g of dried Carapa and 500 µmol Trolox/g of dried Carapa, respectively. The FRAP gave a good result 2.45 mg Vitamin C equivalents /g of dried Carapa. The pro-oxidant activity was 24.25 µg/ml of Carapa extract. The phytochemical screening was the subject of intensive investigations in order to identify the chemical constituents present in medicinal plants , such as Carapa procera and to evaluate their potential biological activities .
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it