Optimization of African Breadfruit Based Complementary Food Using Mixture Response Surface Methodology

K. Abasiekong, T. U. Nwabueze, E. Akobundu
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Abstract

Aims: To model and optimize complementary foods based on their mixture ingredients viz. African breadfruit, soybean and maize, and their depending quality characteristics namely, energy, carbohydrate, fat, ash, protein, flavor, taste, general acceptability and paste viscosity, and determine the amino acid qualities of the optimized formula. Study Design: Experimental research (controlled experiment). Place and Duration of Study: The Department of Food Science and Technology, Michael Okpara University of Agriculture, Umudike between 2011 and 2015.  Methodology: The D-optimal three factor mixture design fitted into the second order canonical model was adopted, and the factor ranges were set at 64-80 % (African breadfruit), 19-35 % (soybean) and 1-9 % (maize) which yielded twenty blends (including replications) based on the mixture design combination. Each mixture component was expressed as a proportion of the mixture such that the sum was equal to 100 %. Results: The results of the analyses were: 379.51-411 kcal/100 g (energy), 53.59-63.62 % (carbohydrate), 8-6 % (fat), 3.03-4.28 % (ash), 10.31-14.64 % (protein), 6-like slightly to 8-like very much (flavor, taste and general acceptability) and 5770-5800mPa.s (paste viscosity). Protein and energy were exceptionally high with all the values of protein exceeding the minimum standard recommended for complementary foods. The models for energy, fat, taste and paste viscosity were excellent for prediction due to the quality of their PRESS and predicted r-squared hence their selection for the numerical optimization which resulted in the prediction of 69:24:7 (African breadfruit: soybean: maize) as the optimized formula. Amino acid evaluation of this optimized formula showed that the values compared favourably with standards (WHO/FAO/UNU reference pattern and egg reference protein). Conclusion: The selection of 69:24:7 as the optimized formula indicates that complementary food can be produced with the African breadfruit as a base at 69% inclusion, while its amino acid profile suggests that its protein could be nutritionally adequate.
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混合响应面法优化非洲面包果类辅食
目的:根据非洲面包果、大豆和玉米的混合配料及其能量、碳水化合物、脂肪、灰分、蛋白质、风味、口感、一般接受度和糊状粘度等相关品质特征,对辅食进行建模和优化,确定优化配方的氨基酸品质。研究设计:实验研究(对照实验)。学习地点和时间:2011年至2015年在乌穆代克迈克尔奥克帕拉农业大学食品科学与技术系学习。方法:采用符合二阶典型模型的d -最优三因子混合设计,将因子范围设为64- 80%(非洲面包果)、19- 35%(大豆)和1- 9%(玉米),根据混合设计组合获得20个混合(包括重复)。每个混合物成分表示为混合物的比例,使总和等于100%。结果:分析结果为:379.51 ~ 411 kcal/100 g(能量),53.59 ~ 63.62%(碳水化合物),8- 6%(脂肪),3.03 ~ 4.28%(灰分),10.31 ~ 14.64%(蛋白质),6-like略至8-like非常(风味、口感和一般可接受度),5770 ~ 5800mpa。S(膏体粘度)。蛋白质和能量异常高,所有蛋白质的价值都超过了辅食推荐的最低标准。能量、脂肪、味道和糊状粘度模型由于其PRESS和预测r平方的质量而具有良好的预测效果,因此选择它们进行数值优化,结果预测为69:24:7(非洲面包果:大豆:玉米)作为优化公式。对该优化配方的氨基酸评价表明,其值与标准值(WHO/FAO/UNU参考模式和鸡蛋参考蛋白)相当。结论:选择69:24:7作为优化配方表明,以非洲面包果为基料,以69%的包合率可制成辅食,其氨基酸谱显示其蛋白质营养充足。
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