Emmanuel Olusola Oke

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Verified

Emmanuel verified their affiliation via an institutional email.

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• Doctor of Philosophy
• Professor (Associate) at Michael Okpara University of Agriculture

This study aimed to simulate zeolite Y synthesis through the alkaline fusion method, optimization of process variables, and Adaptive Neuro-Fuzzy Inference System (ANFIS) modeling of utility and waste generated during the synthesis of zeolite Y. The steady-state simulation was performed using ASPEN Batch Process Developer (ABPD), and the regression...

Nigeria faces significant environmental and health risks due to rapid Waste Electrical and Electronics Equipment (WEEE) generation, estimated at 500,000 tons annually. This systematic review analyses the situation of WEEE in Nigeria, examining existing policies, regulations, and emerging technologies for sustainable recycling. The review analysis r...

Response surface methodology (RSM) was employed in this study to optimize the epoxidation of Azadirachta indica seed oil (AISO) in the presence of sulfuric acid as a catalyst. The independent variables were (catalyst concentration, time, and temperature) while iodine and oxirane values were the dependent variables. The (analysis of variance) ANOVA...

Because human activity is constantly increasing the content of heavy metals, heavy metal removal becomes a major challenge in wastewater treatment. In an attempt to provide an innovative and sustainable option for addressing the said challenge, this study is aimed at the synthesis and characterization of nano-based CaO biosorbent from oyster shell....

Neuro-fuzzy modeling technique has been used for the development of computer-based adaptive process control systems for most postharvest operations instead of convectional mechanistic modeling technique owing to its good prediction without prior knowledge of process operation. Therefore, adaptive neuro-fuzzy inference system (ANFIS) modeling and pr...

The feasibility of recovering bioactive antioxidants from Phyllantus emblica leaves using ethanol -water mixture (0 – 100%) and heat-assisted extraction technology (HAE-T) was investigated in this present study. To this effect, the process parameter of operating temperature (OT: 30 -50 oC), solid -to-liquid ratio (S:L: 1:20 - 1:60 g/mL) and extract...

Lignin is an essential raw material that shows huge potential in novel value-added industrial applications. Most of previous researches on production of lignin from biological sources are confined to laboratory endeavors owing to the paucity of basic process engineering studies on lignin extraction from bio-material. Therefore, this investigation i...

This present study investigates the heat-assisted extraction (HAE) of bioactive antioxidants from Enantia chlorantha stem bark (ECSB). The effects of process parameters of operating temperature (OT: 35–55 °C), extraction time (ET: 100–200 min) and solid: liquid ratio (S/L: 1:20–1:50 g/mL) are determined on the total polyphenol content (TPC), antiox...

Previous investigations reported evaluation of biological, therapeutic and pharmacological activities of phenolic bioactive extract from Huntaria Umbellate Seed (HUS). However, process modelling and optimization, upscaling as well as techno-economic evaluation of Microwave-Assisted Extraction (MAE) of HUS are seldom documented in the literature. Th...

This study presented hybrid genetic algorithm adaptive neuro-fuzzy inference system (GA-ANFIS) modelling, cuckoo search algorithm optimization (CSAO), and scale-up techno-economics of Azadirachta indica leaves’ microwave-assisted extraction (MAE). Box-Behnken design (BBD) of Design-Expert software was used to design MAE experiment using microwave p...

Vegetable oils are a crucial source of raw materials for many industries. In order to meet the rising demand for oil on global scale, it has become essential to investigate underutilized plant oilseeds. Hura crepitans seeds are one of the underused plant oilseeds from which oil can be produced via solvent-based extraction. For the purpose of predic...

Palm kernel oil (PKO) is one of the promising starting materials for biodiesel production. Economic viability of large-scale biodiesel production from PKO happens to be the major challenge, as investors would like to know the overall cost-benefit value before making decisions. Therefore, this study develops artificial intelligence (AI) techno-econo...

The requirement for reduction of post-harvest losses increased production, and cost-effectiveness of foods are driving continuous food process investigations. In this study, Response Surface Methodology (RSM) was utilized to understand, model, and optimize the effect of selected process factors on the moisture content (MC) of convectively dried unr...

The requirement for cleaner and healthy environment is a drive for waste recycling programs. In this study, suitable reinforcement for composite production was extracted from Nauclea latifolia herb root waste (NLHRW) through alkalization. Proximate composition and crystallinity of NLHRW and alkalized NLHRW (ANLHRW) were determined using gravimetric...

High heating value (HHV) of biomass is important for the design and operation of biomass based energy conversion processes. Experimental determination of this property is always time consuming and expensive. This paper compares existing empirical correlations based on proximate and ultimate analysis of biomass for the determination of the HHV. The...

PurposeDespite a huge pharmacological and medicinal significance of Citrullus Colocynthis fruit (CCF) extract as claimed by previous researchers, the extract production is limited to laboratory endeavour. Therefore, this study is aimed at developing optimal process conditions, scale-up process design with its associated economics for CCF microwave-...

The requirement for easily adoptable technology for fruit preservation in developing countries is paramount. This study investigated the effect of pre-treatment (warm water blanching time—3, 5 and 10 min at 60 °C) and drying temperature (50, 60 and 70 °C) on drying mechanisms of convectively dried Synsepalum dulcificum (miracle berry fruit—MBF) fru...

Engineering conservation during the drying process is paramount as it will help in the preservation and cost minimization of food products during processing to avoid spoilage and maximize their utilization in society. Unlike other yam species, three-leaved yam starch (TLYS) contains phytonutrients for the treatment of ailments such as diabetes and...

This work reported the effects of heat-assisted extraction (HAE) temperature (35 – 55 °C), solid: liquid (1:20 - 1:50 g/mL) and time (100 - 200 min) on the total phenolic content (TPC, GAE/g), bioactive extracts yield (EYs, %) and antioxidant activity (AA, AAE/g) of Senna alata leaves (SALs) using the Box-Behnken experimental design. Multi-objectiv...

Kokoro as a broadly acknowledge maize snack is being consumed every day by both the children and grown-ups, but it is characterized by the low protein content required for survival. The blending of maize flour (MF), sesame flour (SF) and moringa flour (mF) to enhance the nutritional values of kokoro was optimize with response surface technique (RSM...

This study presented ASPEN Base Case Simulation (BCS) using optimum laboratory experimental data, techno-economic predictive models, and multi-objective optimum profitability scenario of biodiesel production from palm kernel oil. The BCS was developed in ASPEN Batch Process Developer V10 environment. Predictive models for predicting and optimizing...

Biodiesel has been seen as an alternative to diesel (fossil) fuel as a result of its favourable properties, energy security reasons and environmental benefits. In this research, transesterification of sandbox seed oil with ethanol to form biodiesel has been modelled using artificial neural network (ANN) and adaptive neuro-fuzzy inference system (AN...

Statistical modelling of hot smoke processing of pre-treated Tilapia (Oreochromis niloticus) fish was reportedly inaccurate, making it difficult to design, predict, and reproduce the finished product’s quality; hence, accurate modelling of this process is a gap in study. This study filled this gap and extended the literature by investigating the ac...

Kokoro as a broadly acknowledge maize snack is being consumed every day by both the children and grown-ups, but it is characterized by the low protein content required for survival. The blending of maize flour (MF), sesame flour (SF) and moringa flour (mF) to enhance the nutritional values of kokoro was optimize with response surface technique (RSM...

This work investigated the influence of process variables of extraction temperature (35 - 55oC), solid to liquid ratio (1:20 - 1:50 g/mL) and time (100 - 200 min) on the total phenolic content (TPC) and yield (EY) of Carica papaya leaves (CPL) extracts using Box Benken experimental design available in Design Expert software. Bi-objective process op...

The drying characteristics of unblanched (UB), steam blanched (SB) and hot water blanched (WB) Cobra 26 F1 tomatoes were investigated at drying temperature of 40, 50, 60 and 70 °C and constant air velocity of 1.2 m/s in a convective oven. Gaussian process regression (GPR)-based models defined with squared-exponential kernel (GPR-SE), rational quadr...

In this work, we synthesized and economically analyzed a sustainable process of industrial production of microencapsulated anthocyanins powder (MAP) from Hibiscus sabdafiffa L. calyx (HSC) with the assistance of SuperPro Designer software. Open literature data were used in the synthesis of flowsheet and minimum selling price (MSP) of MAP was the on...

Allium sativum extract is one of the medicinal and aromatic products used in pharmaceutical and food industries. The scientific literature bibliography regarding process scale-up simulation and techno-economics of phenolic extract from Allium sativum microwave-assisted extraction is seldom reported. This study presented optimization and techno-econ...

Excessive heating with hot-air oven dryers produces considerable losses in the quality of dried tomatoes, particularly in the organoleptic and colour characteristics. Thus, process parameters need to be optimised to minimise detrimental colour quality changes that might not be easily achieved using sophisticated colour detection devices. While a si...

This study uses artificial neural network (ANN) to predict the thermo-physical properties of deep-fat frying plantain chips ( ipekere ). The frying was conducted with temperature and time ranged of 150 to 190 °C and 2 to 4 minutes using factorial design. The result revealed that specific heat was most influenced by temperature and time with the val...

This work presents an integrated heat-assisted extraction process for the production of crude anthocyanins powder (CAnysP) from Hibiscus sabdariffa calyx using SuperPro Designer. The influence of process scale-up (0.04 -1000L) and variables (temperature, time and ethanol proportion in solvent) were investigated by adopting a circumscribed central c...

Nigerian Elefun Kaolinite Clay is a potential precursor for Zeolite-Y-based catalyst production, a raw material that is very useful during oil refining operation. However, fundamental process engineering studies that are necessary for the zeolite production scale-up and process design have not been investigated. Therefore, this study is based on AS...

The wastewater from paint manufacturing industry contains high quantity of pollutants that are generated from washing equipment, as well as chemical additives. Hence, coagulation–flocculation was applied in the present study to evaluate the performance of some natural coagulant derived from Hibiscus esculentus L,(okra) Detarium microcarpum,(sweet d...

In this work, process simulation, techno-economic study and Neuro-Fuzzy (NF) production rate prediction of colourant extract production from Sorghum (Bicolor) Leaf Shealth (SBLS) were studied. The Base Case Simulation (BCS) material and energy balance, economic and sensitivity analyses were carried out in Aspen Batch Process Developer (ABPD) V10® s...

Novel Luffa cylindrica seed (LCS) extracts obtained from different processing techniques were employed for coagulation/flocculation (CF) decontamination of dye-polluted wastewater (DPW). The DPW was simulated in the laboratory using Cibacron blue dye 3GA (a reactive, azo dye) and distilled water. The bio-coagulants' proximate and instrumental chara...

Convectional algorithms such as least-square and gradient descent for adaptive neuro-fuzzy inference system (ANFIS) prediction of engineering process system is deficient by local optimum trapping problem. Therefore, this study is aimed at developing novel hybrid genetic algorithm (GA)–ANFIS–Box–Behnken (BB) model for Heveabrasiliensis seed oil epox...

Sierrathrissaleonensis (SL) is a low valued fish in Nigeria because of its small size and availability of fleshy alternatives. Therefore, an alternative utilization ofSL is crucial. In this study, SL wasused to produce fish cracker (SLC).The SLC, being an intermediate product was dried to achieve moisture stability. During drying process, the influ...

This study presents predictive modelling with uncertainty analysis, optimization and techno-economic feasibility of Bio-catalyzed Biodiesel Production from Azidirica Indica Oil (BCBPAIO). Central Composite Design (CCD) predictive model and optimum conditions for BCBPAIO were developed in Design Expert software. The model uncertainty analysis was pe...

Understanding the effect of reinforcement scales on the properties of fibre reinforced composite and establishment of suitable material property predictive model are important for successful composite development. This study investigated the effect of micro and nano scale Momordica augustisepala stem natural fibre (MASNF) on the mechanical properti...

The present study involved the processing of raw Ukpor clay from Anambra State, Nigeria to kaolin as a precursor for the development of Y-type zeolite. The clay was first subjected to pretreatment by separating the foreign bodies from it using deflocculant (Sodium hexametaphosphate and Sodium hydrogen carbonate). Subsequently, the pretreated clay w...

Nauclea latifolia root (NLR) extract is one of phytochemicals used to treat various ailments in most of developing countries. This investigation focuses on modelling, optimization and computer-aided simulation of phenolic solid-liquid extraction from NLR. The extraction experiments were conducted at extraction temperature (ET: 33.79–76.21 °C), proc...

This study designed, techno-economically analyzed and compared the heat-assisted extraction (HAE)- and ultrasound-assisted extraction (UAE)-technology-based processes (HAE-tBP and UAE-tBP) for the production of crude anthocyanins powder (CAnysP) from Hibiscus sabdariffa calyx (HSC) with the assistance of SuperPro Designer software. Both the base ca...

This study developed a mathematical model following the fundamental principles of mass transfer for the simulation of the oil and moisture content change during the Deep-Fat Frying of plantain (ipekere) chip. The explicit Finite Difference Technique (FDT) was used to conduct a numerical solution to the consequential governing equation (partial diff...

Studies on modeling and optimization of alkali treatment, investigation of experimental uncertainty and sensitivity analysis of alkali treatment factors of natural fibers are important to effective natural fiber reinforced polymer composite development. In this contribution, response surface methodology (RSM) was employed to investigate and optimiz...

The investigation of the potentials of the acid modified Africa elemi seed, mucuna shell, and oyster shell as an adsorbent for the removal of cadmium ions from aqueous solution using batch adsorption was carried out. The material characterization was carried out using Fourier transform infrared and scanning electron microscopy. The effects of opera...

This study is based on parametric selection and prediction of sweet potatoes starch drying using Regression Tree (RT), Support Vector Machine (SVM) and Neuro-Fuzzy (NF) soft-computing techniques. The drying experiments are conducted at Drying Temperature (DT): 40–60 °C, Drying Time (DTi): 0–780 min, Ambient Temperature (AT): 27.2–30 °C and Relative...

The aim of this study was to model and optimize the adsorption of Pb(II) ions from an aqueous solution using Africa elemi seed, mucuna shell and oyster shell modified with orthophosphorous acid used as adsorbents. The influence of operational parameters such as adsorbent dosage, initial pH and contact time was evaluated by response surface methodol...

This study is aimed at modelling and optimization of phenolic compound extraction from Azadirica Indica Leaves (AIL) using Response Surface Methodology (RSM), Adaptive Neuro-Fuzzy Inference System (ANFIS) and Cuckoo Search algorithm (CSA). The extraction experiments were conducted at Extraction Temperature (ET): (33.79-76.21oC), Process Time (PT):...

The characteristics, energy requirement and kinetics of open sun, solar, hot air oven (50–70 °C) and microwave (450–700 W) thin layer drying of green microalgae (Chlorella sp.) paste were investigated. Drying took place mainly in the falling rate period. The moisture diffusivities for the open sun, solar, hot air and microwave drying were 4.64 × 10...

The aim of this study was to investigate the potential of Luffa Cylindrica fibers in a biomass packed bed for the treatment of paint industry effluent before releasing into the environment. The fibers were modified by mercerisation in 0.5M NaOH for 24 h. Both modified and unmodified fibers were characterised using Scanning Electron Microscopy with...

This work designed, modeled and performed economic analysis of the base case extraction and recovery of catechin mix (CM) from Camellia sinensis leaves (CSL) using deep eutectic solvent (DES) and microwave assisted extraction (MAE) with the assistance of SuperPro Designer software. Techno-economic analysis of three commercial scales of manufacture...

This study predicted three-leaved yam starch drying using adaptive neuro-fuzzy inference system (ANFIS), artificial neural network (ANN) and support vector machine (SVM). The input and output variables were drying temperature, time, air velocity and exergy efficiency (EE) as well as sustainability index (SI), respectively. The EE performance indice...

This study presents Adaptive Neuro-fuzzy Inference System (ANFIS) technique for the estimation of pre-treated mango kernel moisture content in a tray dryer. The blanching and drying experiments were conducted at different drying air temperatures (45-75 0 C), drying time (0-420 minutes), blanching temperatures (40-100 0 C) and blanching time (3-9 mi...

This study investigated the dynamics of aerosols emitted from household spray products in terms of deposition rate, deposition velocity, and coagulation. Thirty brands of spray products were selected with respect to their uses. Time variations of particle size distribution and concentrations resulting from aerosol emission from the spray products w...

In this study, model was developed to predict moisture loss and oil uptake during deep-fat frying of plantain (dodo). Plantain samples were sliced and fried at different frying temperatures (150, 160, 170, 180 and 190 °C) in a deep fryer for periods varying from 2 to 4 min. Moisture and fat analyses were determined based on the AOAC standard method...

This study investigates kinetics and Adaptive Neuro-Fuzzy Modeling (ANFM) of river turbid water coagulation-flocculation (CF) process using mango kernel coagulant (MKC). CF experiments were performed using jar test apparatus and the process kinetic-transport parameters (coagulation rate constant, half-life time, and particle diffusivity) were deter...

Indoor air measurements of aerosols emitted from the use of household spray products are expensive and time-consuming. An analytical model was developed and incorporated into a graphical user interface to quantify exposure as a function of distance and time. The model considered point source dispersion with reflection from a wall and aerosol concen...

In this paper, Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to model and predict Grewia Polysaccharide Gum (GPG) extraction yield from Grewia mollis (GM) powder/water system. The data for modelling the process behaviour consisted of four inputs (process temperature, GM powder/water ratio, process time and pH) and GPG yield as the output....

The performance of oyster shell as natural coagulant under varying pH, dosage and settling time in the removal of turbidity of paint waste water at room temperature has been investigated.The application of single angle Turbidimeter measurement was employed for the experiment. Such kinetic and functional parameter as coagulation rate constant, K11,...

This study is aimed at developing a neuro-fuzzy model with the Matlab Graphical User Interface (GUI) for calculating the biocoagulant quantity needed for turbid water clarification. A neuro-fuzzy network (NFN) was developed for three different levels (low, medium and high) of turbid water. Experimental turbid water bioclarification data were used,...

Movement of commodities, material and men from one place to another using various automated means remains a major activity of mankind. The operation of the transportation systems placed much demand on operators' capabilities and limitations in relation to human body dimensions. A stratified sample size of 160 drivers were randomly selected among th...

The present study aimed at modeling rate of carbon dioxide (CO2) transfer during its injection into water and surfactant solution at different operating conditions. Partial differential equation was used to describe rate of mass transfer during the process and Finite Difference Method (FDM) was used to solve the developed model subject to boundary...

The influence of operating parameters on weight of wax deposit in oil-pipeline was investigated in this study. Response surface methodology (RSM) was used to develop polynomial regression model and investigate the effect changes in the level of wax temperature differential, flowrate and residence time on weight of wax deposit using Box Behnken desi...