Phytochemical Investigations and Nutritive Potential of Eight Selected Plants from Ghana
Bibliographic record
Abstract
In Ghana and most parts of Africa, traditional vegetables and herbs are important sources of proteins, minerals and vitamins for the general population. In order to meet the daily recommended nutritional requirements for the betterment of health and general well being, these vegetables and herbs are seen as an integral part of the diet of the people. In this study, the phytochemical constituents, mineral content and nutritive potential of eight selected plants, Amaranthus incurvatus (Amaranthaceae), Launaea taraxacifolia (Asteraceae), Manihot utilissima (Euphorbiaceae), Ceiba pentandra (Malvaceae), Manniophyton fulvum (Euphorbiaceae), Corchorus olitorius (Malvaceae), Talinum triangulare (Portulacaceae) and Hibiscus sabdariffa (Malvaceae), were evaluated using standard methods. The results showed that, alkaloids, glycosides, flavonoids, terpenoids, phytosterols and tannins are present in almost all the plant samples. Vitamin C is the abundant vitamin present in the selected plants followed by vitamin A. The crude protein ranged from 7.44 – 31.5% with A. incurvatus and T. triangulare providing the highest amount. The elemental analysis in mg/100g of dry matter revealed H. sabdariffa calyx contained the highest amount of magnesium (Mg) and iron (Fe), providing about 43.48% and 72% of the respective daily value of these minerals. The sodium (Na) and potassium (K) contents of the samples were within recommended daily values except H. sabdariffa which exceeded it daily value for potassium (K). The selected plants may therefore be considered asviable and cheap sources of dietary nutrients and their incorporation in diets may be said to be scientifically justifiable.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".