Open Access Research Article Article ID: IJASFT-8-280

    Process optimization of extruded noodles from Cocoyam (Colocasia Esculenta) and Bambara groundnut (Vigna Subterranea) flour

    Bulus Daniel Sadiq* and Zokti James Alkali

    A noodle is a thin, long strip of spaghetti or a similar flour paste consumed with a sauce or taken with warm water with sugar and milk added as desired. In this regard, a modified noodle was produced from cocoyam with Bambara ground nut added to enhance the nutritional composition of the noodle. Central Composite Design (CCD) using Response Surface Methodology (RSM) was used in the optimization procedure. The aim was to develop the best mix of procedure variables that can give optimum formulation with a high protein. The process variables were feed composition (X1), barrel temperature (X2), and feed moisture composition (X3). The responses were moisture, protein, fat, and fiber. Regression models and residual plots were generated and adequacy was tested with regression coefficient (R2) and the lack of fit test. Results of the analysis of variance (ANOVA) indicated that the process variables had a significant effect on the protein (p < 0.05). Results for regression coefficients prove a fair fit of the model. The optimum noodle had 60g of Bambara ground nut, 120 oC barrel temperature, and 16% moisture content. Its responses were 10.66 mg/100g protein, 0.95 mg/100g fat, 1.60 mg/100g ash, and 1.75 mg/100g fiber. The optimized recipe shows improve nutrients.


    Published on: Nov 30, 2022 Pages: 286-292

    Full Text PDF Full Text HTML DOI: 10.17352/2455-815X.000180
    CrossMark Publons Harvard Library HOLLIS Search IT Semantic Scholar Get Citation Base Search Scilit OAI-PMH ResearchGate Academic Microsoft GrowKudos Universite de Paris UW Libraries SJSU King Library SJSU King Library NUS Library McGill DET KGL BIBLiOTEK JCU Discovery Universidad De Lima WorldCat VU on WorldCat


    Global Views

    Case Reports

    Peertechz Tweets

    Pinterest on IJASFT

    Help ? Google Reviews 11