Contribution to Phytotherapy Valorization of the Seed of Avocado, <i>Persea Americana</i>
Bibliographic record
Abstract
Plants represent an immense storehouse of biomolecules endowed with diverse biological properties. This study was carried out to analyze the phytochemical composition and evaluate the free radical scavenging and antioxidant activities of Persea americana seed. The dried avocado pit powder was first delipidated with hexane and the residue was successively extracted by maceration with ethanol-water mixture (50% -50%: v/v), and ethanol. Qualitative phytochemical analyses were carried out on the two extracts; and quantitative assays, to assess total polyphenol, flavonoid and condensed tannin contents. The free radical scavenging and antioxidant activities of the extracts were assessed. The results had revealed the presence of polyphenols, alkaloids, flavonoids, saponosides, anthocyanins, anthraquinones, steroids, cardiac glycosides, and condensed tannins in both extracts. In addition, total polyphenol, flavonoid and condensed tannin contents were: 70.427±0.113 mg GAEq/g DE and 194.986±2 mg GAEq/g DE; 19.667±1.732 mg QtEq/g DE and 23.111±0.509 mg QtEq/g DE; then 65.134±1.672 mg CEq/g DE and 203.616±4.931 mg CEq/g DE, respectively in the hydroethanolic and ethanolic extracts. The hydroethanolic extract showed a free radical scavenging activity evaluated as 13.84 ± 0.01%, whereas that of the ethanolic extract was 34.41 ± 4.70%; while measurement of antioxidant activity provided values of 24.30 ± 0.63 mg AAEq/g DE and 42.35 ± 1.20 mg AAEq /g DE, respectively. In conclusion, ethanolic extract showed better free radical scavenging and antioxidant activities, with higher contents of bioactive compounds. These results justified the common use of avocado seeds in phytotherapy in Togo for treatment of various pathologies.
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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 | 0.000 | 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) | 0.002 | 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".