Essential Amino Acid Composition of Noodles Analogue from Aerial Yam, Rice and African Yam Bean Flour Blend Using Response Surface Methodology
Issue: 2023 - Volume 15 [Issue 11]
Kalu Chibuike Egbuta *
Department of Food Technology, Akanu Ibiam Federal Polytechnic Unwana, Ebonyi State, Nigeria.
*Author to whom correspondence should be addressed.
Response surface technology was used to evaluate the essential amino acid of noodles analogue from Aerial yam (Dioscorea bulbifera), Rice (Oryza sativa), and African yam bean (Sphenostylissternocarpa) flour mixture. Flours from Aerial yam, rice, and African yam bean were individually produced blended in the ratio of 50%: 25%: 25%, respectively and extruded using Brabender single screw laboratory extruder (Duisburg DCE 330 Model) filled with 3.0mm die nozzle diameter. A central composite rotatable design ( CCRD) with three variables, namely barrel temperature, feed moisture content and screw speed and fire level coded -a, -1, 0, +1, +a, was used in the experimental design to obtain 20 samples of noodles analogue. Essential Amino Acid profiling was done on the noodles analogue and data was analyzed by regression analysis. Results showed that lysine content ranged from 4.55 to 7.55mg/100g, valine content ranged from 3.81 to 5.06mg/100g, methionine content ranged from 0.86 to 2. 24mg/100g, phenylalanine content ranged from 5.06 to 5.45mg/100g, histidine content ranged from 3.09 to 4.20mg/100g, tryptophan content ranged from 0.83 to 1.96mg/100g, leucine content ranged from 6.87 to 7.90mg/100g, isoleucine content ranged from 2.91 to 4.91mg/100g, threonine content ranged from 3.55 to 4.44mg/100g. The coefficients of determinations (R2) were high and ranged from 0.8987 to 0.9916 at 5% level. The response surface plots suggest that the models developed had a good fit and the CCRD was effective in explaining the effect of the process condition on noodles analogue as influenced by barred temperature, feed moisture content and screw speed of the extruder. The data obtained from the study could be used for the control of product characteristics. The study indicated improved noodles analogues from Rice, Aerial yam, and African Yam Bean can be produced as noodles analogues.
Keywords: Noodles analogue, extrusion, response surface methodology
How to Cite
Akinyele IO. Combinations of cereals legumes and meat product in extrusion product. In. J. Deport and E.M Osman (Eds) cereals and legumes in the food supply Iowa: Iowa State University Pressing and Quality Evaluation of Sweet Potato Chip Plant Foods for Ames. 1987; 50010.
Semba RD. The rise and fall of protein malnutrition in global health. Annals of Nutrition and Metabolism. 2016;69: 79-88.
Yilma M, Admassau S. Product development and quality evaluation of biscuits and ready-to-eat snack from cowpea-wheat flour blends. Advances Food Technology and Nutritional Sciences Open Journal. 2019;5(3): 92-106.
Iwe MO. Organoleptic assessment of extruded blends of soy and sweet potato flour by response surface analysis, Journal of Plants Foods for Human Nutrition. 2001;60 (1):1-14.
Kalu CEI. Alaka C, Ekwu FC. Study of functional properties for different blends of flours. Journal of Applied Life Science International. 2019b;22(1)1-7.
World Health Organization. Protein and amino acid requirements in human nutrition In:Report of a Joint WHO/FAO/UNU Expert Consultation. WHO Technical Report Series. 2007;935.
Seth D, Rajamanickam G. development of extruded snacks using soy, sorghum, millet and rice blend. a response surface methodology approach. Int.J.Food.Sci. Technol. 2012;47:1526 -1531.
Kalu CE, Alaka IC, Asadu KC, Okpara KC, Daniel CC. Functional properties of noodles analogue from water yam, yellow maize and african yam bean mixtures- A response surface methodology. European Journal Of Nutrition and Food Safety. 2022;14(11):106-202.
Myers RH, Montgomery DC. Response surface methodology: Process and product optimization using designed experiments. New York: Wiley. 2002;690-701.
Gambus H, Sikora M, Zioboro R. The effects of composition of Hydrocolloids on properties of gluten. Free Bread Acta seintiarum polonorum technologia Alimentria. 2007;6(3): 61 – 74.
AOAC. Official methods of analysis (19thed.)association of official analytical chemist, Washington DC. 2015;3
Adeyeye EI, Afolabi EO. Amino acid composition of three different types of land snails consumed in Nigeria. Food Chemistry. 2004;85: 535-539.
Floros JD, Chinnan MS. Computer graphics optimization for product and process development. Food Technology. 1988;42:71 – 78.
Giovanni M. Response surface methodology and product optimization, Food Technol. 1983;47 (11):41 – 45, 83.
Khuri AI, Cornell JA .Response surface design and analyses. New York: Marcell Dekker. Montomery DC. Design and analysis of experiments, Singapore: Wiley; 1987
Omeire GC. Amino acid profile of raw and extruded blends of African Yam bean (Sphenostylis stenocarpa) and cassava flour: American journal of Food and Nutrition. 2013,2(3);65-68.
Fasuan Temitope O, Asadu Keneth C, Ojokoh Linda O, Anyiam Cynthia C, Olagunju Titilope M, Okpara Kingsley O, Chima Judith U Ready-To- Eat flakes from Acha, partially deffatted sesame meal and modified corn starch: Modelling, optimization and characterization. Food Science& Nutrition Technology 2021;6(1): 1-12.
FAO/WHO/UNU. Food and agriculture organization of the United Nation, World Health Organization, United nations university. Energy and protein requirements. Report of a joint expert consultation. WHO Technical Report Series no 724. Geneva; 1985
FAO / WHO. Protein quality evaluation. Report of a joint FAO / WHO expert consultation. FAO Food and Nutrition Paper. 1991;51:1-66.
Ikegwu OJ, Nwakor GC, Okoli EC, Okorie PA, Egbedike CN, Ohuche JC. Influence of germination on the chemical composition, amino acid profile and functional properties of lablab bean seed flour J. of Nigerian Institute of Food Science and Technol 2022;40 (2):16-30.
Ezegbe CC, Nwosu JN, Owuamanam CL. Drying condition and starch type effects on textural and dissolution qualities of bambara groundnut condiment bouillon cubes. Nigerian Food Journal. 2022;40: 1&2 :114-128.