Functional cereal innovation with indigenous grains: Nutritional and sensory acceptability index of optimized Fonio-based breakfast mixture
Summary. Researchers optimized a breakfast cereal using Fonio, a nutritious indigenous grain from sub-Saharan Africa, by combining roasting, statistical analysis, and AI modeling. The final formulation—65% Fonio, 27% soybean, 8% corn—reduced antinutrients, delivered balanced macronutrients, and scored 82% sensory acceptability matching commercial cereals. The hybrid optimization approach reduced trial-and-error development and demonstrates that indigenous grains can compete in modern food systems.
Cite this article
Antwi-Boasiako, S., Jamgade, S. R., & Manavi, A. D.. (2026). Functional cereal innovation with indigenous grains: Nutritional and sensory acceptability index of optimized Fonio-based breakfast mixture. Multidisciplinary Science Journal. https://doi.org/10.31893/multiscience.2026706
Antwi-Boasiako, Sussana, et al. “Functional cereal innovation with indigenous grains: Nutritional and sensory acceptability index of optimized Fonio-based breakfast mixture.” Multidisciplinary Science Journal, 2026. https://doi.org/10.31893/multiscience.2026706.
Antwi-Boasiako, Sussana, Sweety R. Jamgade, and Anicar D. Manavi. 2026. “Functional cereal innovation with indigenous grains: Nutritional and sensory acceptability index of optimized Fonio-based breakfast mixture.” Multidisciplinary Science Journal. https://doi.org/10.31893/multiscience.2026706.
@article{antwi-boasiako-2026-functional-cereal-innovation-indigenous-grains,
title = {Functional cereal innovation with indigenous grains: Nutritional and sensory acceptability index of optimized Fonio-based breakfast mixture},
author = {Sussana Antwi-Boasiako and Sweety R. Jamgade and Anicar D. Manavi},
journal = {Multidisciplinary Science Journal},
year = {2026},
doi = {10.31893/multiscience.2026706},
url = {https://doi.org/10.31893/multiscience.2026706}
}
TY - JOUR TI - Functional cereal innovation with indigenous grains: Nutritional and sensory acceptability index of optimized Fonio-based breakfast mixture AU - Sussana Antwi-Boasiako AU - Sweety R. Jamgade AU - Anicar D. Manavi JO - Multidisciplinary Science Journal PY - 2026 DO - 10.31893/multiscience.2026706 UR - https://doi.org/10.31893/multiscience.2026706 ER -
Details
- DOI
- 10.31893/multiscience.2026706
- Countries
- Ghana, India
- Regions
- Africa, Asia
- Categories
- food-systems, agtech, indigenous-innovation, general-innovation
- Added
- 2026-10-01