Destructive means of measuring the proximate compositions of grains involves crushing of samples and application of chemical reagents on samples leading to losses of food along the food chain. However, this study tends to evaluate the proximate compositions of Quality Protein Maize (QPM) and Sorghum (Sorghum bicolor) using non-destructive and destructive methods. A randomized block design of 6 × 2 × 2 × 3, SPSS 20.0 statistical package, and analysis of variance (ANOVA) were used to analyze the results. The result shows that non-destructive measurement had higher significant values of moisture, protein , fat, fiber, ash and carbohydrate contents are 11.600.06%,9.80.05%,4.070.09%, -, -, 61.37% and 12.470.03%, 8.90%, 3.130.03%, 2.100%, 1.20%, and 66.600.12%, over the destructive measurement with 10.670.52%, 10.550.13%, 4.950.22%, 3.260.05%, 1.710.01%, 68.870.56 and 9.070.03%, 11.130.06%, 4.830.03%, 2.380.01%, 1.080.01%, and 70.790.02% for QPM and sorghum respectively. These results indicates that Non- destructive method was therefore found to be more economical and faster without affecting the actual proximate compositions of the grains, hence recommended for used over the conventional destructive method in Nigeria and elsewhere.
- Proximate Composition, Quality Protein Maize, Destructive Method, Protein Content, Sorghum
e-ISSN: 2319-183X, p-ISSN: 2319-1821 Source Type:
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