Optimization of Low-Glycemic Composite Snacks from Wheat, African Yam Bean, Cocoyam, and Date Fruit Flours Using D-Optimal Mixture Design
Keywords:
D-optimal design, RSM, African yam bean, date palm fruit, sensory evaluationAbstract
Type 2 diabetes mellitus is prevalent in Nigeria. Its prevention and management depend largely on imported drugs and specialized foods. Often, the items are costly, scarce, and inaccessible. Besides, the acclaimed effectiveness and long-term safety may be false. The challenges underscore the need for affordable, locally produced dietary alternatives. The study developed and optimized composite snack from locally available crops with desirable nutritional quality and a low glycemic index. Wheat, cocoyam (Xanthosoma sagittifolium), African yam bean (Sphenostylis stenocarpa), and date fruit (Phoenix dactylifera) were processed into flours and combined to produce nineteen composite snack samples using a D-optimal mixture design of the response surface methodology. The samples were evaluated for proximate composition, glycemic index, and sensory attributes using standard analytical methods and a 7-point hedonic scale. The results showed that the proximate composition and glycemic index values of the snacks were within recommended ranges. Most of the samples exhibited low glycemic index values, ≤55, indicating suitability for dietary prevention and management of type 2 diabetes. Sensory evaluation revealed moderate to low acceptability and preference, likely due to limited consumer familiarity with composite formulations. Optimization identified a formulation containing 33.3% wheat flour, 22.0% cocoyam flour, 36.7% African yam bean flour, and 10.0% date fruit flour, which yielded 5.01% moisture content, a glycemic index of 7.33, and 7.38% total nitrogen/protein, with an overall desirability of 85%. These findings demonstrate the potential of locally sourced composite snacks as low-glycemic functional foods. Improved nutritional labeling and consumer education may be required to enhance acceptance and preference.
Similar Articles
- K. G. Ta'awu, M. C. Ekanem, A. Mairo, P. G. Udofia, Sensory and market attributes of wheat-Musa. spp-soybean (WPS) flour composite bread , Communication In Physical Sciences: Vol. 5 No. 2 (2020): VOLUME 5 ISSUE 2
- Cletus O. Ezidi, Eucharia N. Nwosu, Rita O. Ohakwe, Chukwunonso S. Okeke, Austin E. Aniecheonwu, Okwuchukwu E. Onyekaonwu, Chinyere E. Umeocho, Kingsley T. Agusiobo, Seed Yam Multiplication Using Minisett Technique , Communication In Physical Sciences: Vol. 11 No. 3 (2024): VOLUME 11 ISSUE 3
- Gideon Wyasu, The influence of natural fermentation, malt addition and soya fortification on the sensory and physio-chemical characteristics of gyok-millet gruel , Communication In Physical Sciences: Vol. 4 No. 1 (2019): VOLUME 4 ISSUE 1
- Umar Ahmad Isyaku, Nura Muhammad, Abdulrasheed Luqman, Aminu Sabo Muhammad, Determination of the Optimal Number of Servers in Kano Poly Micro Finance Bankeia Standards , Communication In Physical Sciences: Vol. 9 No. 2 (2023): VOLUME 9 ISSUE 2
- Henrietta Ijeoma Kelle, Maureen Nkemdilim Chukwu, Emily Osa Iduseri, Emeka Chima Ogoko, Rawlings Abem Timothy, Absorption Studies of Some Agricultural Solid Wastes as Biosorbent for the Clean-up of Oil Spill , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
- 1. Anthony I. G. Ekedegwa, Evans Ashiegwuike, Abdullahi Mohammed S. B, Seasonal Short-Term Load Forecasting (STLF) using combined Social Spider Optimisation (SSO) and African Vulture Optimisation Algorithm (AVOA) in Artificial Neural Networks (ANN) , Communication In Physical Sciences: Vol. 12 No. 3 (2025): VOLUME 12 ISSUE 3
- Kabiru Usman, H. Abba, O. R. A. Iyun, Preparation and Characterization of African Star Apple Seed Shell (Chrysophyllum Africanum) For The Removal of Acid Red 9 , Communication In Physical Sciences: Vol. 8 No. 1 (2022): VOLUME 8 ISSUE 1
- Imam Akintomiwa Akinlade, Musili Adeyemi Adebayo, Ahmed Olasunkanmi Tijani, Chiamaka Perpetua Ezenwaka, Obafemi Ibrahim Sikiru, Emmanuel Ayomide Oseni, The Role of Machine Learning Models in Optimizing High-Volume Customer Engagement and CRM Transformation , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Felicia Uchechukwu Okwunodulu, Stevens Azubuike Odoemelam, Comparative Studies On Infrared Analysis of Some Waste Biomass in Heavy Metals Adsorption , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Ololade Omosunlade, Curriculum Framework for Entrepreneurial Innovation among Special Needs Students in the Age of Artificial Intelligence , Communication In Physical Sciences: Vol. 11 No. 4 (2024): VOLUME 11 ISSUE 4
You may also start an advanced similarity search for this article.



