Optimization of production and quality evaluation of maize‐based snack supplemented with soybean and tiger‐nut (Cyperus esculenta) flour

Optimization of the production and evaluation of the quality of maize‐based snack supplemented with soy and tigernut flour was carried out. Experimental design for the composite flour was carried out using optimal design model of response surface methodology. The variables were toasted maize flour (...

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Veröffentlicht in:Food Science & Nutrition 2017-01, Vol.5 (1), p.3-13
Hauptverfasser: Awolu, Olugbenga O., Omoba, Olufunmilayo S., Olawoye, Olumide, Dairo, Modupe
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Sprache:eng
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Zusammenfassung:Optimization of the production and evaluation of the quality of maize‐based snack supplemented with soy and tigernut flour was carried out. Experimental design for the composite flour was carried out using optimal design model of response surface methodology. The variables were toasted maize flour (75–85%), soy flour (10–20%), and tigernut flour (5–10%); while the responses were proximate composition and mineral contents. Three blends were selected from optimization results; runs 2, 7, and 11. The functional properties, pasting properties, antioxidant, antinutritional, and amino acid profile of the three blends were evaluated. In addition, sensory evaluation of the cookies produced from the three blends was determined. The results (75/100 g toasted maize flour, 20/100 g soy flour, and 5/100 g tigernut flour) had 16.4/100 g protein, 4.2/100 g ash, 3.5/100 g moisture, 58.5/100 g carbohydrate, 3.0/100 g crude fiber, 14.4/100 g fat, 30.20 ppm calcium, 38.90 ppm potassium, 0.25 ppm manganese, 1.91 ppm iron, 0.14 ppm copper, and 0.98 ppm zinc contents. It also had best overall acceptability. Optimization of the production and evaluation of the quality of maize‐based snack supplemented with soy and tigernut flour was studied. The functional, pasting, antioxidant, and antinutritional properties with the amino acid profile of three best blends were evaluated. Sensory evaluation of the cookies produced from the three blends was determined.
ISSN:2048-7177
2048-7177
DOI:10.1002/fsn3.359