Bioavailability of Mineral Nutrients in Plantain Based Product Enriched With Bambara Groundnut Protein Concentrate
Bibliographic record
Abstract
Plantain based products (amala, cookies, bread and cakes) enriched with bambara groundnut protein concentrate were produced. Total minerals content of the products were investigated using the atomic absorption spectrophotometry. A total of six essential minerals: iron, calcium, potassium, phosphorus, magnesium and sodium were determined. The bioavailability of these minerals was studied using pepsin and pancreatin enzymes in-vitro digestion method. The products developed were high in potassium, iron and phosphorous and low in sodium. However not all the minerals detected were bioavailable. Only 59.7% and 68.1% of potassium were available in soluble forms in bread and ‘amala’, respectively while 60.0% and 64.8% of iron were released in soluble forms in ‘amala’ and cookies and these values are significantly higher, compared to 53.0% Fe and 50.2% Fe released as soluble fractions in bread and cakes, respectively. The Ca/P ratio for cakes and bread are 1.1 and 0.8, respectively which is significantly higher (P > 0.05) compared to Ca/P ratio for ‘amala’ (0.4) and cookies (0.5). Therefore, the developed cakes and bread can serve as good sources of calcium and phosphorous which are considered essential for bone formation and teeth development in children.
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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) | 0.001 | 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".