Nutritional Value of Raphia hookeri Fruit, Hematological Properties of Its Powder and Aqueous Extract in A Model of Aluminum Chloride Inducing Neurotoxicity by Using Rats
Bibliographic record
Abstract
This study was aimed at evaluating the nutritional value of the mesocarp of Raphia hookeri (Rh) fruit and the effect of powder and aqueous extract of the fruit on hematological parameters in rats which have undergone neurotoxicity by aluminum chloride. The nutritional content was evaluated with the standard method. Seven groups of six Wistar rats were used, neurotoxicity was induced by 4.2 mg/kg of body weight of aluminum chloride 3 times a week intraperitonealy with treatment. Rat treatment was as follow: aqueous extract at 200 and 400 mg/kg body weight, 5 and 10% of formulation, negative, positive and normal groups. The experiment lasted 28 days. The data obtained from the nutritive value showed that Rh mesocarp is a good source of lipids (48.97%), fibers (25.82%), calcium (3183.3mg/100g of dry matter), potassium (1218.3 mg/100g of DM), zinc (0.88 mg/100g of DM) and selenium (8.6 mg/100g of DM). Nevertheless, it contains a little amount of phytic acid and hydrocyanic acid which is acceptable for human consumption. It can then be used in many formulations as a source of these nutrients. Aluminum administration indicates the reduction in food intake, a low weight gain and Hematological alteration in the Positive control group. However, consumption of Rh mesocarp indicated an increase in food intake, weight gain and a restoration of hematological parameters to the normal level with the best values in groups that were administered Rh powders (Rh5% and Rh10%). Raphia hookeri mesocarp is a rich source of nutrients involved in the prevention of hematological disorder.
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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 | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".