Mr. EYIDE ODEWORITSE
Publication Title Effect of Blending Ratio on the Nutritional Value of Millet and Guinea Corn using Mixture Design
Publication Type journal
Publisher International Journal of Innovative Science and Research Technology
Publication Authors Engr. Dr. (Mrs) E.T Akhihiero, Ayodeji Arnold Olaseinde, Eyide Odeworitse
Year Published 2022-07-07
Abstract This study focused on immunonutrition which
is referring to boosting immune system response through
diet. In this study, the effect ofthe 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 vita
Publication Title Numerically Optimized Effects of Contact Time Factor of Pulverized and Modified Bio-Adsorbents on Nitrogen Removal Rates in Industrial Wastewate
Publication Type journal
Publisher Journal of Water Resources and Pollution Studies
Publication Authors Blessing Josephine Ossai1, Sunday Iweriolor, Eyide Odeworitse
Year Published 2023-01-24
Abstract This study investigated the effect of contact
time of two agricultural wastes (cassava peels
and ripe plantain peels) used as bioadsorbents that were modified with base and
acids to ascertain their ability to absorb
nitrogenous compounds from hospital and
abattoir wastewater. The absorbents were
prepared using standard procedures into
powdered forms and a portion was modified
with acid and base respectively. Fourier
Infrared spectroscopy was used on the
prepared absorbents to determine the organic
and functional groups present. Each modified
bio-adsorbents was used to inoculate each of
the 250 ml flasks containing the wastewater
sample. Contact was allowed to be made for
14 hours and the nitrogen removal rate was
measured and recorded. The Nitrogen
concentration in the wastewater was
determined using Ultra-violent spectroscopy.
Response surface optimization was used to
investigate the effect of contact time on the
nitrogen removal rate. Models were
generated to analyze the interactions between
variables at optimum conditions. The results
showed that the bio-adsorbents have the
ability to remove nitrogen from wastewater.
The nitrogen percentage removal recorded
was 57%, 81%, and 77%, 55%, 91% ,and
78% respectively. The R2
from ANOVA was
seen to be 96.5%, 97.9%, 97.9%, 98.2%, and
99.7%, and 97.9% repectively. Experimental
results were best fitted into linear and
quadratic polynomial models. The optimum
conditions having desirability of 0.964 showed
that the time of 13.558 hrs. The values
obtained are a good indicator that the bio
adsorbents used in this should be considered
by the chemical industries in the process of
absorbent design and production.
Publication Title Optimization of Mechanical Properties of Bonded Particle Boards Produced From Agricultural Waste Wood Chips
Publication Type journal
Publisher Journal of Applied Sciences and Environmental Management
Paper Link https://www.ajol.info/index.php/jasem
Publication Authors EYIDE ODEWORITSE; AMENAGHAWON NOSAKHARE ANDREW; MODEBE LUCY UJU ; MENE JOSEPH ANIREJUORITSE
Year Published 2023-04-30
Abstract 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 R2 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/mm2
and 9.34 N/mm2 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.
Publication Title NUMERICALLY OPTIMIZED EFFECT OF PHYSICAL PROPERTIES OF BONDED PARTICLE BOARDS PRODUCED FROM WASTE SAWDUST
Publication Type Published Research
Publisher FUW Trends in Science & Technology Journa
Publication Authors Odeworitse Eyide; Nosakhare Andrew Amenaghawon; Ubani Oluwaseun Amune; Joseph Anirejuoritse Mene ; Othuke Gideon Akpobire
Year Published 2023-07-10
Abstract 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 R2 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.