Nutritive Profile and Provitamin A Value of Sweet Potatoes Flours (Ipomoea batatas Lam) Consumed in Côte d’Ivoire
Bibliographic record
Abstract
Sweet potato is an important food security crop in Sub-Saharan Africa. In Côte d’Ivoire, the roots are widely consumed as supplementary staple food or secondary food. The present study is conducted to highlight the nutritive composition, antinutrients and β-carotene contents of local sweet potatoes consumed in Côte d’Ivoire. The nutritive properties and antinutritive factors of these sweet potatoes were investigated using standard methods. Results confirmed the energetic value (363±1.63-374.08±0.56 kcal/100 g DM) of whole sweet potato flour, mainly due to its high carbohydrate content (86.75±0.40%-90.87±0.12%). Whole flour recorded low contents of moisture (4.50±0.10-6.30±0.15%), lipids (0.63±0.08-1.94±0.95%) and proteins (0.94±0.36-1.91±0.15%). The antinutritive factors ranged from 55.84±0.13 to 70.52±0.07 mg/100 g DM and 52.30±5.81-92.44±11.10 mg/100 g DM for oxalates and phytates, respectively. The mineral contents were: magnesium (49.37±1.09-540.87±0.82 mg/100 g DM), calcium (50.28±1.14-110.53±0.79 mg/100 g DM), phosphorus (25.12±1.04-42.75±0.82 mg/100 g DM), potassium (906.25±0.33-1625±0.61 mg/100 g DM), and iron (5.62±0.84-26.89±0.76 mg/100 g DM). The sweet potato flours highlighted polyphenols and antioxidant activity varying from 92.80±98.20±1.72 to 224.46±0.86 mg GAE /100 g DM, and 31.03±0.52-58.63±0.60%, respectively. While β-carotene levels of flours varied from 0.19±0.08 to 22.71±0.67 µg/g DM for white to orange cultivars. At the whole, the orange fleshed sweet potato cultivars recorded an appreciable amount of minerals (magnesium, iron and calcium), polyphenols and greater antioxidant activity. This indicates that these sweet potato cultivars may present a potential asset for their using as natural antioxidants to prevent chronic diseases and undernourishment caused mineral deficiency. The results also showed that the orange-fleshed varieties may contribute for vitamin A deficiencies alleviation in children of rural areas of Côte d’Ivoire.
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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 | 0.000 |
| 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".