Parkia biglobosa (Mimosaceae): Botany, Uses, Phytochemical Properties and Pharmacological Potential
Bibliographic record
Abstract
Parkia biglobosa (Jacq.) R. Br. ex G. Don, popularly known as the African locust bean tree, is a perennial tree legume that belongs to Mimosoïdeae sub-family and family of Fabaceae. This study is aimed at reviewing the botany, nutritional uses, phytochemical and pharmacological properties of P. biglobosa and the information was undertaken using electronic databases such as Scopus, Google Scholar, Elsevier, Science Direct, Web of Science, Pubmed, SciFinder, BMC and Open-thesis. Parkia biglobosa is a very important multipurpose tree that is used essentially for food, medicinal, cultural, economic and magico-therapeutic purposes. Due to its socio-economic and cultural importance, P. biglobosa species are vulnerable to unsustainable harvesting and are declining in numbers because they remain semi- or undomesticated in some west Africa countries. Different aqueous and organic extracts of P. biglobosa indicate that the species are rich in saponins, tannins, flavonoids, resins, carbohydrates, terpenoids, phenols, sterols, and cardiac glycosides. The nutritional and pharmacological benefits of P. biglobosa has been associated with its physicochemical properties. Pharmacological studies on P. biglobosa exhibited antimalarial, anti-helminthic, antibacterial, antidiabetic, antihypertensive, anti-inflammatory, analgesic, anti-carcinogenic, anti-trypanosomic activities and antioxidant properties. Threats to the survival of this multipurpose species are also highlighted.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".