Optimization of wheat-high quality cassava-mango peel-soybean composite flours for optimal noodles nutritional composition, antioxidant properties and sensory acceptability

Oludolapo Akinyemi Osunrinade , Tawakalitu Eniola Aruna , Kazeem Koledoye Olatoye , Rafiat Morolayo Shittu , Oluwashola Oyedunni Elutilo
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Abstract

Noodles, due to the convenient preparation, is fast becoming a staple food worldwide. Production of noodles with a reduction of wheat composition could enhance food security in the non-wheat-producing developing world and can improve its nutritional and sensory attributes. In this study, the potential of composite flour from wheat-high-quality cassava-mango peel-soybean blends in optimized noodles production was investigated. The use of a four-component flour-constrained [wheat (30 -100 %), high-quality cassava (0 -50 %), mango peel (0 -50 %), and soybean (0 -50 %)] D-optimal mixture experimental design with twenty randomized experimental runs was adopted for the noodles development. Noodles’ proximate composition, antioxidant properties, colour intensity and sensory acceptability were determined using standard procedures. Noodles' moisture content ranged between (7.88–10.88 %), protein (5.95–25.12 %), fat (3.04–11.94 %), ash (2.9–12.24 %), crude fiber (0.38–6.97 %), and carbohydrate (45.47–77.68 %), and energy value (320.42–394.52 Kcal). The total flavonoid content ranged between (0.44–4.12 mgQuercetin/g), total phenolic content (3.27–25.14 mgGAE/100 g), 1,1-diphenyl-2-picrylhydrazyl (13.65–89.88 %), ferric reducing antioxidant power (1.55–4.33 mg/g), total antioxidant capacity (0.88–3.83 mgGAE/g). The instrumental lightness of noodles ranged from 20.5 to 40.62, redness/greenness from 2.45 to 4.51, and yellowness/blue from 4.81 to 12.34. Panelists’ assessment of noodles' sensory attributes ranged from slight likeness to very much likeness. Flour blend composition significantly (p < 0.05) influenced the proximate, antioxidant, and color properties of noodles. Noodles with optimal nutrient composition, antioxidant properties and sensory acceptability was predicted to be from wheat (30 %), HQCF (31.34 %), mango peel (27.55 %) and soybean (11.11 %) flour blend. Enrichment of noodles with protein and antioxidant-rich sources resulted in improved chemical composition and acceptability.
小麦-优质木薯-芒果皮-大豆复合面粉对面条营养成分、抗氧化性能和感官接受度的优化
面条由于制作方便,正迅速成为世界范围内的主食。减少小麦成分的面条生产可以加强不生产小麦的发展中国家的粮食安全,并可以改善其营养和感官特性。在本研究中,研究了小麦-优质木薯-芒果皮-大豆混合粉在优化面条生产中的潜力。采用四组份面粉约束[小麦(30 -100 %)、优质木薯(0 -50 %)、芒果皮(0 -50 %)和大豆(0 -50 %)]d -最优混合试验设计,随机试验20次。采用标准程序测定了面条的近似成分、抗氧化性能、颜色强度和感官可接受性。面条的水分含量为(7.88 ~ 10.88 %),蛋白质含量为(5.95 ~ 25.12 %),脂肪含量为(3.04 ~ 11.94 %),灰分含量为(2.9 ~ 12.24 %),粗纤维含量为(0.38 ~ 6.97 %),碳水化合物含量为(45.47 ~ 77.68 %),能值为320.42 ~ 394.52 Kcal。总黄酮含量为(0.44 ~ 4.12 mg槲皮素/g)、总酚含量为(3.27 ~ 25.14 mg槲皮素/100 g)、1,1-二苯基-2-吡啶酰肼(13.65 ~ 89.88 %)、铁还原抗氧化能力为(1.55 ~ 4.33 mg/g)、总抗氧化能力为(0.88 ~ 3.83 mg槲皮素/g)。面条的仪器亮度范围为20.5至40.62,红/绿度范围为2.45至4.51,黄/蓝度范围为4.81至12.34。小组成员对面条感官属性的评估范围从轻微相似到非常相似。面粉混合成分显著影响面条的近似性、抗氧化性和颜色特性(p <; 0.05)。预测小麦(30 %)、HQCF(31.34 %)、芒果皮(27.55 %)和大豆(11.11 %)混合面粉具有最佳的营养成分、抗氧化性能和感官接受度。在面条中加入蛋白质和富含抗氧化剂的来源,可以改善面条的化学成分和可接受性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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