dc.description.abstract |
A study was carried out to evaluate the quality of cookies produced from composite blends of
wheat and coconut flour. The objectives of the study were to determine the proximate
composition and sensory properties of the cookie’s blends. Five composite blends of wheat,
fonio flour and coconut flour were formulated at a ratio of A= 100% wheat flour B=90%
wheat flour 10% coconut flour, C=85% wheat flour & 15% coconut flour D=80% wheat flour
& 20% coconut flour E=75% wheat flour & 25% coconut flour. All the parameters were
measured and calculated following standard procedure. The result obtained was subjected to
statistical analysis using ANOVA. The result of the experiment showed that the treatments
with respect to the parameters varied such that sample treatment E has the highest protein
content (11.32%), sample treatment D has the highest fat content (6.93%) and crude fiber
content (2.90%) with respect to sample treatment A. The proximate results obtained do not
correlates with the sensory data outcome with sample treatment C again having the highest
score rate (overall acceptability). In terms of proximate composition, the crude protein
increased with increased substitution of wheat flour and coconut flour. There was a general
improvement in the quality of the cookies as presented in the tables. It is therefore
recommended that the test ingredients, wheat and coconut flour be used in the production of
cookies to improve nutritional quality and reduce the cost of production. |
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