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
Paper Link http://www.ijisrt.com/
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 vitamins and
minerals needed to boost our immune system.
Publication Title Optimization of Mechanical Properties of Bonded Particle Boards Produced From Agricultural Waste Wood Chips
Publication Type journal
Publisher J. Appl. Sci. Environ. Manage.
Paper Link https://dx.doi.org/10.4314/jasem.v27i4.13
Publication Authors YIDE ODEWORITSE; AMENAGHAWON NOSAKHARE ANDREW; MODEBE LUCY UJU ; MENE JOSEPH ANIREJUORITSE
Year Published 2023-03-04
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 journal
Publisher FUW Trends in Science & Technology Journa
Paper Link http://www.ftstjournal.com/
Publication Authors Odeworitse Eyide; Nosakhare Andrew Amenaghawon; Ubani Oluwaseun Amune; Joseph Anirejuoritse Mene; Othuke Gideon Akpobire
Year Published 2023-08-04
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.
Publication Title OPTIMIZATION OF VITAMIN A IN RED GUINEA CORN-MILLET MIX
Publication Type journal
Publisher ARID ZONE JOURNAL OF ENGINEERING, TECHNOLOGY & ENVIRONMENT
Paper Link http://www.azojete.com.ng/
Publication Authors O. Eyide, S. Iweriolor , B. J. Ossai , E. T. Akhihiero , and A. A. Olaseinde
Year Published 2023-12-04
Abstract This study focused on the optimization of vitamin A in guinea corn and millet
mix. The concentration of vitamin A was investigated under the following
conditions: blending time (1.5 - 5 hours), amount of red guinea corn (10 -
50g) and amount of agro residue (50-100 g) using Box-Behnken design.
Statistically significant model (p<0.05) was developed to represent the
relationship between the response (concentration of vitamin A) and the
independent variables. The model showed a significant fit with experimental
data with R2 values of 0.94. Analysis of variance (ANOVA) results showed
that the concentration of vitamin A was influenced by the blending time,
amount of red guinea corn and amount of millet used. Additionally, response
surface methodology (RSM) was used to optimize the concentration of
vitamin A. The results showed that maximum concentration of 98.76 µg/100g
for vitamin A was obtained at the optimum production conditions of blending
time of 5hours, 49.79g of red guinea corn and 100g of millet. The blend
produced at the optimized conditions satisfied the World Health
Organization (WHO), Food and Agricultural Organization (FAO)
specification for recommended safe intake for all age groups, pregnant and
nursing mothers
Publication Title STATISTICAL EVALUATION OF PYRIDOXINE IN RED GUINEA CORN-MILLET COMPOSITE
Publication Type journal
Publisher INTERNATIONAL JOURNAL OF SCIENCE RESEARCH AND TECHNOLOGY
Publication Authors ODEWORITSE EYIDE; EJIROGHENE THELMA AKHIHIERO; SUNDAY IWERIOLOR; BLESSING JOSEPHINE OSSAI; ONORIODE ERHINYODAVWE; AYODEJI ARNOLD OLASEINDE; OHIRI AUGUSTINE CHIMEZIE
Year Published 2024-05-31
Abstract This research work
focused on the
statistical
optimization of
pyridoxine in red
guinea corn and
millet composite. The
concentration of
pyridoxine (vitamin
B6) was investigated
under the following
conditions: blending
time (1.5-5hours),
amount of red guinea
corn (10-50g) and
amount of agro
residue (50-100 g)
using Box-Behnken
design. Statistically
significant model (<
0.0001) was
developed to
represent the
relationship between
the response
(concentration of
pyridoxine) and the
independent
variables. The model
showed a significant fit with experimental data with R2 values of 0.99. Analysis of variance (ANOVA) results showed
that the concentration of pyridoxine was influenced by the blending time, amount of red
guinea corn and amount of millet used. Response surface methodology (RSM) was used to
optimize the concentration of pyridoxine and the optimization results showed that the
maximum concentration of 61.36 µg/100g for pyridoxine was obtained at the optimum
production conditions of blending time of 5hours, 47.45g of red guinea corn and 100g of millet.
Also the recommended amounts of red guinea corn and millet composite for all groups as
shown in table 11 were formulated in conformity with World Health Organization (WHO)/Food
and Agricultural Organization (FAO) specification for recommended safe intake for all age
groups, pregnant and nursing mothers with deficiencies in pyridoxine.
Publication Title THE ROLE OF ENGINEERS IN PROJECT EVALUATION AND ENVIRONMENTAL IMPACT ASSESSMENT IN NIGERIA
Publication Type journal
Publisher International Journal of African Innovation and Multidisciplinary Research,
Publication Authors ODEWORITSE EYIDE; ONORIODE ERHINYODAVWE; EHELEDU EMMANUEL OISAKEDE; OTHUKE GIDEON AKPOBIRE; ONORIODE AKWARA
Year Published 2024-03-01
Abstract The escalating impact of uncontrolled utilization of environmental resources has prompted a call for Environmental Impact Assessment (EIA). EIA, as a multifaceted and inclusive domain, necessitates the involvement of engineering experts, among others, in achieving the objectives of environmental development and sustainability. Consequently, this study examined the contributions of engineering professionals to EIA in Nigeria. A total of two hundred (200) questionnaires were distributed to engineering professionals in Lagos State, with one hundred and thirty-one (131) collected and deemed suitable for analysis. The gathered data underwent descriptive statistical analysis. According to the findings, 66% of engineering professionals have engaged in EIA, and 77% of respondents opine that engineering professionals should play a significant role in EIA. Additionally, the study revealed that civil engineers and transportation engineers were the most actively involved disciplines in EIA, while mining engineers exhibited the highest rate of non-participation. The study recommended that both government authorities and professional organizations encourage engineering professionals to enhance their involvement in EIA through continuous training and awareness initiatives. This would facilitate their engagement in decision-making processes concerning environmental preservation and sustainability.
Publication Title ENGINEERING INNOVATIONS IN WASTEWATER TREATMENT, RESOURCE RECOVERY AND ECONOMIC DEVELOPMENT
Publication Type journal
Publisher Nightingale Publications and Research International.
Publication Authors ODEWORITSE EYIDE; ONORIODE ERHINYODAVWE; PEREMOBOWEI VICTOR NANAKUMO; TUBOULAYEFA OBURUMU; OTHUKE GIDEON AKPOBIRE; EHELEDU EMMANUEL OISAKEDE
Year Published 2024-04-30
Abstract The effective management of wastewater is a significant global challenge, exacerbated by factors such as population growth, urbanization, and environmental degradation. This study delves into the role of engineering advancements in tackling this challenge through the lens of a circular economy approach. Specifically, it focuses on wastewater treatment, resource recovery, and economic development. By integrating insights from various disciplines, the study explores cutting-edge treatment technologies, decentralized systems, and resource recovery processes aimed at converting wastewater into valuable resources like energy, nutrients, and water. Through an extensive review of literature and case studies, the study assesses the environmental, social, and economic ramifications of engineering innovations in wastewater management. Additionally, it investigates the potential of collaborative efforts across sectors and policy interventions to promote a circular economy in wastewater management, driving sustainable development and economic prosperity. By synthesizing expertise from engineering, environmental science, economics, and policy realms, this study enhances our understanding of the opportunities and obstacles linked to engineering innovations in wastewater management. It also sets the stage for future research and practical endeavors in this crucial domain.
Publication Title MODELING AS AN INSTRUCTIONAL STRATEGY FOR MOTIVATING, MAINTAINING, AND ENHANCING STUDENTS’ INTEREST AND PERFORMANCE IN CHEMISTRY.
Publication Type journal
Publisher Sub-Sahara African Academic Publications
Publication Authors AHMED MOMOH HASSAN, OLUGBEMIDE AKINOLA DAVID , EYIDE ODEWORITSE, OHIRI AUGUSTINE CHIMEZIE & MOMOH ZENEBU
Year Published 2024-04-30
Abstract This study investigated and examined modeling as an instructional strategy for
motivating, maintaining and enhancing students’ interest and performance in chemistry.
Descriptive survey design was used. The sample size used for the study was 120
respondents (students and teachers) randomly selected from two secondary schools
and two higher institutions from two Local Government Areas of Edo State, Nigeria. Six
research questions, twenty two question items and three null hypotheses were
formulated to guide the study. Data were collected from respondents using sets of
questionnaire structured in three point rating scale of agreement. The data were
analysed using both descriptive and inferential statistics. The findings shows that the
respondents perceived modeling as an effective and impactful instructional strategy
which is adequate and to a great extent, could be used to motivate, maintain and enhance
students interest and performance in chemistry. The study also shows that modeling is
a very adequate instructional strategy in chemistry that is closely related to other
complementary alternative instructional strategies on one hand and students interest
and performance in chemistry on the other hand and that modeling could be improved
upon for the enhancement and advancement of chemistry by combining it with other
complementary strategies. The study recommended that Teachers should be adequately
sensitized on the importance of modeling to chemistry among others.
Publication Title THE NEED FOR IMPACT MITIGATION MEASURES IN EVALUATING ENGINEERING PROJECTS IN NIGERIA
Publication Type journal
Publisher International Journal of Engineering Innovation and Technology
Publication Authors ONORIODE ERHINYODAVWE*1International Journal of Engineering Innovation and TechnologyODEWORITSE EYIDE ; OTHUKE GIDEON AKPOBIRE ; EHELEDU EMMANUEL OISAKEDE ; PEREMOBOWEI VICTOR NANAKUMO
Year Published 2024-04-30
Abstract The study aimed to assess risk management practices in the Nigerian general engineering sector, recognizing its significant contribution to the economy despite inherent risks. Employing a quantitative approach with a descriptive study design, 200 surveys were distributed, resulting in 150 valid responses. Utilizing SPSS v23 and exploratory factor analysis, findings indicated the adoption of best risk management practices akin to those in developed nations. Risk management techniques encompassed risk detection, evaluation, reaction, and control. Key aspects included information sourcing, project history, event analysis, and project image creation for risk identification and assessment. Risk response strategies encompassed risk reduction, management backup plans, and risk transfer to third parties, while risk control focused on enhancing project quality and program planning. This study offers valuable insights to enhance risk management practices in the Nigerian general engineering sector, contributing to overall economic prosperity. The study aimed to assess risk management practices in the Nigerian general engineering sector, recognizing its significant contribution to the economy despite inherent risks. Employing a quantitative approach with a descriptive study design, 200 surveys were distributed, resulting in 150 valid responses. Utilizing SPSS v23 and exploratory factor analysis, findings indicated the adoption of best risk management practices akin to those in developed nations. Risk management techniques encompassed risk detection, evaluation, reaction, and control. Key aspects included information sourcing, project history, event analysis, and project image creation for risk identification and assessment. Risk response strategies encompassed risk reduction, management backup plans, and risk transfer to third parties, while risk control focused on enhancing project quality and program planning. This study offers valuable insights to enhance risk management practices in the Nigerian general engineering sector, contributing to overall economic prosperity.
Publication Title REVIEW ON THE RECENT ADVANCEMENT IN ARTIFICIAL INTELLIGENCE (AI) GENERATIVE DESIGN AND MACHINE LANGUAGE APPLICATION IN SOLAR AND WIND ENERGY
Publication Type journal
Publisher International Journal of Applied and Advanced Engineering Research
Publication Authors ONORIODE ERHINYODAVWE ; ODEWORITSE EYIDE ; MARVELLOUS ENUDI ; JOSEPHANIREJUORITSE MENE ; OVIE SUNDAY OKUYADE
Year Published 2024-07-31
Abstract This review examines recent advancements in the integration of AI generative design and machine learning techniques within the scope of renewable energy, with a focus on solar and wind energy systems. By utilizing current literature and cutting-edge research, this study elucidates the multifaceted applications of AI in optimizing the design, operation, and management of renewable energy infrastructures. Specifically, AI generative design methodologies are explored for their ability to enhance the efficiency and performance of solar panel layouts and wind turbine configurations. Moreover, machine learning algorithms are investigated for their capacity to predict energy generation patterns, optimize resource allocation, and enable autonomous decision-making in renewable energy systems. Future research directions and challenges, including data availability, model interpretability, and scalability, are also discussed, providing insights for further advancements in the field.
Publication Title Modeling and optimization of transesterification of Jatropha oil to fatty acid methyl ester: application of response surface methodology (CCD) and Taguchi orthogonal method
Publication Type journal
Publisher Journal of the Turkish Chemical Society Section A: Chemistry
Publication Authors Cyrus Aseibichin, Wisdom Chukwuemeke Ulakpa, Ikoko Omenogor, Emmanuel Doyah, Ayodeji Arnold Olaseinde, Oghenekome Cyril Anakpo, Mabel Keke and Shankar Karuppannan
Year Published 2024-05-15
Abstract The study effectively optimized the transesterification process of Jatropha oil to fatty acid methyl ester
using response surface methodology (CCD) and Taguchi orthogonal method, leading to enhanced
efficiency and product quality. The optimization of five process parameters was conducted to predict the
biodiesel yield (%) from the transesterification of Jatropha oil. The procedure was made easier with the
use of a nanocatalyst made from calcium oxide obtained from snail shells using the hydrothermal
technique. The RSM approach yielded an optimal FAME of 94.10% under specific conditions: a methanol
to oil ratio of 5 : 1, catalyst weight of 1.5 w/w, reaction temperature of 50 °C, reaction duration of 45
minutes, and an agitation speed of 250 rpm across 32 experimental trials. On the other hand, the
Taguchi method predicted a higher FAME yield of 86.36% using specific operational parameters. These
parameters included a methanol to oil ratio of 4 : 1, catalyst weight of 0.5 w/w, reaction temperature of
60 °C, reaction duration of 25 minutes, and an agitation speed of 200 rpm. These parameters were
determined through 16 experimental trials. The RSM technique yielded impressive results with
a determined coefficient of determination (R2
) of 0.9943, adjusted R2 of 0.9838, predicted R2 of 0.8470,
and a coefficient of variance (CV) of 0.65. On the other hand, the Taguchi method had coefficients of
0.8994, 0.7483, and 1.95. The FAME yield of RSM was slightly higher, but the Taguchi method was much
more cost-efficient. The analysis of variance (ANOVA) results showed that the methanol to oil ratio had
the highest influence on the yield, accounting for 49.61% of the variation. This highlights the significant
impact of this factor on the overall process. The study highlights the significance of utilizing advanced
techniques such as TOA and RSM, which are known for their effectiveness. The study aims to enhance
the yield and efficiency of the transesterification process, thereby increasing the overall production of
fatty acid methyl ester from Jatropha oil. This innovative approach efficiently generates biodiesel from
renewable resources, like Jatropha oil, in a manner that is both environmentally friendly and maximizes
the effectiveness of the process parameters.