STATISTICAL EVALUATION OF PYRIDOXINE IN RED GUINEA CORN-MILLET COMPOSITE

Abstract
This research work focused on the statistical optimization of pyridoxine in red guinea corn and millet composite. The concentration of pyridoxine (vitamin B6) was investigated under the following conditions: blending time (1.5-5hours), amount of red guinea corn (10-50g) and amount of agro residue (50-100 g) using Box-Behnken design. Statistically significant model (< 0.0001) was developed to represent the relationship between the response (concentration of pyridoxine) and the independent variables. The model showed a significant fit with experimental data with R2 values of 0.99. Analysis of variance (ANOVA) results showed that the concentration of pyridoxine was influenced by the blending time, amount of red guinea corn and amount of millet used. Response surface methodology (RSM) was used to optimize the concentration of pyridoxine and the optimization results showed that the maximum concentration of 61.36 µg/100g for pyridoxine was obtained at the optimum production conditions of blending time of 5hours, 47.45g of red guinea corn and 100g of millet. Also the recommended amounts of red guinea corn and millet composite for all groups as shown in table 11 were formulated in conformity with World Health Organization (WHO)/Food and Agricultural Organization (FAO) specification for recommended safe intake for all age groups, pregnant and nursing mothers with deficiencies in pyridoxine.
Keywords
Composite, Millet, Statistical, Red Guinea Corn, Pyridoxine