Provitamin A Carotenoids in Baked Foods From Orange-Fleshed Sweet Potato Flour Are Substantially Bioaccessible and Contribute to Vitamin A Requirements
Bibliographic record
Abstract
Vitamin A deficiency (VAD) remains a public health problem in developing countries. Consumption of orange-fleshed sweet potato (OFSP) varieties has been proven to be a valuable strategy for VAD alleviation. In this work, OFSP flour was incorporated into wheat flour at 15, 25, 35, and 50% (w/w) and used to prepare baked products. The bioaccessibility of provitamin A carotenoids of OFSP baking products was performed according to an in vitro digestion model. The contribution of OFSP-wheat composite baking products to vitamin A requirements was evaluated. Relatively high amounts (98.70±2.17-144.42±1.31 μg/g DM) of total carotenoids in OFSP flours was reported in Kakamega-7-Irene, Kabode, and Covington cultivars. The recovery of provitamin A carotenoid in baking products containing 15, 25, 35, and 50% OFSP flour was 1031.04±6.36-3364.21±10.22 μg/100 g for cupcakes and 1009.19±10.38-4640.72±13.43 μg/100 g for cookies, respectively. The in vitro bioaccessibility of provitamin A carotenoids of OFSP composite cupcake ranged from 12.53 to 27.21% while that of OFSP composite cookies was significantly different (p ˂ 0.05) and ranged from 15.99 to 27.84%. The results also showed that cupcake and cookies containing 35% and 50% OFSP flours could be used to fight vitamin A deficiency in Côte d’Ivoire as they were found to meet 50 and more than 100% (161% for 100 g portion) of the recommended dietary allowance (RDA) of vitamin A for children aged 3-10 years. Finally, our results may support adoption of OFSP varieties in order to decrease the risk of vitamin A deficiency in 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 | 0.000 | 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".