Formulation of complementary food using amaranth, chickpea and maize improves iron, calcium and zinc content
Notice bibliographique
Résumé
Malnutrition is the cause of the majority of deaths in children under five years old in Ethiopia. Micronutrient deficiencies such as iron, zinc and calcium, often seen in malnourished children, are major public health problems throughout Ethiopia. These deficiencies have negative consequences on the cognitive and physical development of children, and on work productivity of adults. There is, therefore, a need for sustainable methods to address iron inadequacy in complementary feeding. Animal products are a good source of iron, zinc and calcium, but due to their high costs, their consumption by most children in Ethiopia has declined. The grain amaranth grows wild in areas of Ethiopia but is considered a weed. This study, conducted in rural Ethiopia, was initiated to prepare nutrient-rich complementary food using recipes that substituted the usual maize gruel with porridge made from amaranth and chickpea flours. Using a laboratory based experimental study design, four porridges suitable for complementary feeding, with different proportions of amaranth grains, maize and chickpeas were formulated in triplicate and analyzed in triplicate for minerals including iron, and phytate levels. Mother-child pairs were recruited for acceptability testing, at the community level. Results showed adding amaranth improved the content of iron and other nutrients as compared to control porridge (100% maize) and decreased phytate levels. The lowest phytate to iron ratio (0.24) was observed in the 70% amaranth and 30% chickpea blend, and the lowest viscosity measure was also observed in this same formulation. Soaking amaranth seeds in warm (50oC) water then germinating in lemon juice-containing water at 32oC for 72 hours resulted in the lowest phytate levels. In sensory testing, all of the formulated porridges with different proportions of amaranth flour were acceptable to mothers and their children, although the red color was disliked by mothers and their children. Flavor preference was not altered; however, overall acceptability was reduced with increasing amounts of amaranth. The study indicated that a processed 70% amaranth and 30% chickpea product can be used to produce low-cost, nutrient-rich complementary food with moderate acceptability. Increased nutritional awareness, production and consumption of grain amaranth products may be the way to address mineral deficiencies including iron, in the study area.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».