Browsing by Author "Eletta, O.A.A"

Now showing 1 - 4 of 4
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    MODELLNG AND OPTIMISATION OF OIL EXTRACTION FROM LOOFAH (Luffa cylindrica) SEEDS USING BINARY SOLVENT MIXTURE
    (Turkish Chemical Society, 2019) Eletta, O.A.A; Adewoye, L.T; Mustapha, S.I; Adeniyi, A.G; Ogunleye, O.O
    Toxicity and safety concern coupled with the recent increase in its price has necessitated the need for finding alternative solvents to n-hexane. In this study, the effect of binary solvent (ethanol/n-hexane) composition at various extraction temperatures and times on the oil yield was investigated using response surface methodology (RSM). Artificial neural network (ANN) was used as a modelling tool for predicting the oil yield and the performance of both ANN and RSM models was compared. The optimum oil yield (27.67%) was obtained at extraction temperature (40 °C), extraction time (151.9 min) and binary solvent composition (98% ethanol /2% n-hexane). The predicted oil yield values from ANN model was more accurate than that of RSM when compared with experimental values. The fatty acid profile revealed that the refining process promoted saturation of the extracted oil with 67.75% of palmitic acid present in refined loofah seed oil (RLSO). This study demonstrated the feasibility of using a binary mixture of ethanol and n-hexane as a suitable replacement to the commonly used toxic n-hexane solvent for the extraction of oil from loofah seeds.
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    Optimization of Dye Removal from Textile Wastewater using Activated Carbon from Sawdust
    (Faculty of Engineering and Technology, University of Ilorin, Kwara State, 2018-03) Eletta, O.A.A; Mustapha, S.I; Ajayi, O.A; Ahmed, A.T
    This study is aimed at developing an adsorbent from sawdust for optimum removal of dye from textile wastewater. The adsorbent was developed, characterised and, the adsorptive capability for the removal of dye was determined by optimizing the process parameters (adsorbent dosage, contact time and agitation speed) using Response Surface Methodology. The physical and chemical characterization of the effluent was carried out before and after the adsorption studies. From the results, a maximum adsorption capacity of 98.5 % was obtained at the optimized conditions of 1.5 g, 90 min and 275 rpm for adsorbent dose, contact time and agitation speed respectively. The ANOVA of the regression model showed that the model is highly significant with R2 of 0.98. Further analysis carried out revealed that, in addition to dye removal, trace metals were also adsorbed in the process. This fact was established when the concentration of copper in the wastewater was found to decrease from 0.09 ppm to 0.03 ppm corresponding to 66.7 % removal at the end of the process.
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    Optimization of the Preparation Conditions for Activated Carbon from Locust Bean Pod (Parkia biglobosa) Using Factorial Design Approach
    (Department of Civil Engineering, University of Ilorin, Kwara State., 2018) Eletta, O.A.A; Mustapha, S.I; Tijani, J.O; Adewoye, L.T; Mohammed, I.A
    This study focused on the optimization of the preparation parameters (impregnation concentration, activation temperature and activation time) on the yield and adsorption potential of activated carbon (AC) prepared from Locust bean pod (Parkia biglobosa) using the chemical activation method based on factorial design. The two linear regression models developed from the factorial experimental design using Design Expert Software – 6.0.8 was used to determine the optimum production conditions required to provide a compromise between the AC yield and methylene blue (MB) removal efficiency from aqueous solution. The results demonstrated maximum AC yield of 41.6% and MB removal efficiency of 95.4% under the following optimum preparation conditions; H3PO4 impregnation concentration (60 %), activation temperature (444.4 oC) and activation time (30 min). This study showed that the experimental values obtained were in good agreement with the values predicted from the models under the applied conditions.
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    OPTIMIZATION STUDIES OF TURBIDITY REMOVAL IN ASA RIVER WATER USING CARICA PAPAYA SEED AS COAGULANT
    (Faculty of Engineering and Technology, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, 2017) Eletta, O.A.A; Mustapha, S.I; Onyema, S
    This study evaluated the potential of Carica papaya Seed (CPS) as a coagulant for water treatment. Surface water samples from Asa River in Ilorin, Kwara State, Nigeria were collected for the study. The trace metal levels were determined using Inductively Coupled Plasma-Mass Spectroscopy (ICP- MS). Treated CPS was obtained from its seed using soxhlet extraction in ethanol .It was then applied for the removal of turbidity and trace metals in the surface water samples. The trace metal results showed the presence of Cu (6.07 ppb), Fe (394.16 ppb), Cr(21.50 ppm), Zn (6.69 ppb) and Ti (13.08 ppb) in the samples of the river water. Optimization studies was carried out for turbidity removal using Full Central Composite Design (FCCD) under the Response Surface Methodology (RSM). The results obtained showed that the maximum turbidity removal of 94.92% was achieved at optimum conditions; coagulant dose (0.47 g), contact time (15.17 min) and agitation speed (791.33 rpm). Also, all the trace metals were found to be below detection limit after contacting with the modified Carica papaya seed.