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Papers by odeworitse eyide
FUW Trends in Science & Technology Journal, 2023
This study aimed to optimize the production of particle boards from agricultural waste (sawdust).... more This study aimed to optimize the production of particle boards from agricultural waste (sawdust). The physical properties studied were Water Absorption (WA), Thickness Swelling (TS) and Linear Expansion (LE). The production of particle boards was investigated under the following conditions: stacking time (14-21 days), resin loading (386-463 g) and amount of agro residue (154-185 g) using Box-Behnken design. Statistically significant models (p<0.05) were developed to represent the relationship between the responses (WA, TS and LE) and the independent factors. The three models showed significant fit with experimental data with R 2 values of 0.99, 0.99 and 0.97, respectively. Analysis of variance (ANOVA) results showed that WA, TS and LE were influenced by the stacking time, amount of resin and agro residue used. Response surface methodology (RSM) was used to optimize the WA, TS and LE, and the results showed that the minimum WA, TS and LE values of 4.05%, 0.38%, and 0.34% were respectively obtained at the optimum production conditions of stacking time, resin loading and amount of agro residue (i.e. 21days, 462.82g and 185.00 g respectively). The particle board produced at the optimized conditions satisfied the American National Standard Institute ANSI/A208.1-1999 specification for general-purpose particle boards.
J. Appl. Sci. Environ. Manage., 2023
The aim of this research work was to optimize the production of particle boards from agricultural... more The aim of this research work was to optimize the production of particle boards from agricultural waste (wood chips). The mechanical properties investigated were the modulus of elasticity (MOE) and modulus of rupture (MOR). The production of particle boards was investigated under the following conditions: stacking time (14-21days), resin loading (386-463 g) and amount of agro residue (154-185 g) using Box-Behnken design. Statistically significant models (p<0.05) were developed to represent the relationship between the responses (MOE and MOR) and the independent variables. Both models showed significant fit with experimental data with R 2 values of 0.99 and 0.97 respectively. Analysis of variance (ANOVA) results showed that MOE and MOR were influenced by the stacking time, amount of resin and agro residue used. Response surface methodology (RSM) was used to optimize the MOE and MOR and the optimization results showed that the maximum MOE and MOR values of 1114.09N/mm 2 and 9.34 N/mm 2 were respectively obtained at the optimum production conditions of stacking time, resin loading and amount of agro residue (i.e. 21days, 462.82g and 185.00 g respectively). The particle board produced at the optimized conditions satisfied the American National Standard Institute ANSI/A208.1-1999 specification for general purpose particle boards.
International Journal of Innovative Science and Research Technology , 2022
This study focused on immunonutrition which is referring to boosting immune system response thr... more This study focused on immunonutrition which
is referring to boosting immune system response through
diet. In this study, the effect of the blending ratio of millet and guinea corn on their nutritional value was investigated for vitamin K, vitamin D, and Zinc mineralswhich are considered to help bolster immunity and their relevance in the fight against covid-19.The proximate analysis result showed that guinea corn has a higher value of ash, carbohydrate, and crude protein contents whilemillet on the other hand has a higher
moisture content, calorific value, crude lipids, and crude fiber contents as compared to that of guinea corn. Using Design Expert for experimental design, a mixture DOptimal design was employed. The analysis of variance (ANOVA) for the yield of vitamin K and D, and Zinc mineral were statistically significant at “prob ˃ F” less
than 0.05. Optimization of the analysis revealed that a blend in the ratio of 55.2 to 44.8 would be the best blend that maximizes vitamin K, D, and Zinc minerals with desirability of 65.1 %. Although cereals are not a significant source of vitamin K and D the blends from the study, if processed into food, would be able to
provide an additional quantity of the vitamins and
minerals needed to boost our immune system.
FUW Trends in Science & Technology Journal, 2023
This study aimed to optimize the production of particle boards from agricultural waste (sawdust).... more This study aimed to optimize the production of particle boards from agricultural waste (sawdust). The physical properties studied were Water Absorption (WA), Thickness Swelling (TS) and Linear Expansion (LE). The production of particle boards was investigated under the following conditions: stacking time (14-21 days), resin loading (386-463 g) and amount of agro residue (154-185 g) using Box-Behnken design. Statistically significant models (p<0.05) were developed to represent the relationship between the responses (WA, TS and LE) and the independent factors. The three models showed significant fit with experimental data with R 2 values of 0.99, 0.99 and 0.97, respectively. Analysis of variance (ANOVA) results showed that WA, TS and LE were influenced by the stacking time, amount of resin and agro residue used. Response surface methodology (RSM) was used to optimize the WA, TS and LE, and the results showed that the minimum WA, TS and LE values of 4.05%, 0.38%, and 0.34% were respectively obtained at the optimum production conditions of stacking time, resin loading and amount of agro residue (i.e. 21days, 462.82g and 185.00 g respectively). The particle board produced at the optimized conditions satisfied the American National Standard Institute ANSI/A208.1-1999 specification for general-purpose particle boards.
J. Appl. Sci. Environ. Manage., 2023
The aim of this research work was to optimize the production of particle boards from agricultural... more The aim of this research work was to optimize the production of particle boards from agricultural waste (wood chips). The mechanical properties investigated were the modulus of elasticity (MOE) and modulus of rupture (MOR). The production of particle boards was investigated under the following conditions: stacking time (14-21days), resin loading (386-463 g) and amount of agro residue (154-185 g) using Box-Behnken design. Statistically significant models (p<0.05) were developed to represent the relationship between the responses (MOE and MOR) and the independent variables. Both models showed significant fit with experimental data with R 2 values of 0.99 and 0.97 respectively. Analysis of variance (ANOVA) results showed that MOE and MOR were influenced by the stacking time, amount of resin and agro residue used. Response surface methodology (RSM) was used to optimize the MOE and MOR and the optimization results showed that the maximum MOE and MOR values of 1114.09N/mm 2 and 9.34 N/mm 2 were respectively obtained at the optimum production conditions of stacking time, resin loading and amount of agro residue (i.e. 21days, 462.82g and 185.00 g respectively). The particle board produced at the optimized conditions satisfied the American National Standard Institute ANSI/A208.1-1999 specification for general purpose particle boards.
International Journal of Innovative Science and Research Technology , 2022
This study focused on immunonutrition which is referring to boosting immune system response thr... more This study focused on immunonutrition which
is referring to boosting immune system response through
diet. In this study, the effect of the blending ratio of millet and guinea corn on their nutritional value was investigated for vitamin K, vitamin D, and Zinc mineralswhich are considered to help bolster immunity and their relevance in the fight against covid-19.The proximate analysis result showed that guinea corn has a higher value of ash, carbohydrate, and crude protein contents whilemillet on the other hand has a higher
moisture content, calorific value, crude lipids, and crude fiber contents as compared to that of guinea corn. Using Design Expert for experimental design, a mixture DOptimal design was employed. The analysis of variance (ANOVA) for the yield of vitamin K and D, and Zinc mineral were statistically significant at “prob ˃ F” less
than 0.05. Optimization of the analysis revealed that a blend in the ratio of 55.2 to 44.8 would be the best blend that maximizes vitamin K, D, and Zinc minerals with desirability of 65.1 %. Although cereals are not a significant source of vitamin K and D the blends from the study, if processed into food, would be able to
provide an additional quantity of the vitamins and
minerals needed to boost our immune system.