ANN-GA, ANFIS-GA and Thermodynamics base modeling of crude oil removal from surface water using organic acid grafted banana pseudo stem fiber
Banana pseudo stem fiber adsorbent (BPSF) with well-ordered framework of porosity was fabricated via esterification reaction between organic acid and the biomass. The resulting adsorbent (BPSF) was applied for the removal of crude oil from water surface. Optimization and modeling of the process para...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-06-01
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| Series: | Applied Surface Science Advances |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666523922000496 |
| _version_ | 1811251544287346688 |
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| author | Innocent Sunday Ike Christian O. Asadu Chinonso Anthony Ezema Thomas O. Onah Nick O. Ogbodo Evelyn Uloma Godwin-Nwakwasi Chijioke Elijah Onu |
| author_facet | Innocent Sunday Ike Christian O. Asadu Chinonso Anthony Ezema Thomas O. Onah Nick O. Ogbodo Evelyn Uloma Godwin-Nwakwasi Chijioke Elijah Onu |
| author_sort | Innocent Sunday Ike |
| collection | DOAJ |
| description | Banana pseudo stem fiber adsorbent (BPSF) with well-ordered framework of porosity was fabricated via esterification reaction between organic acid and the biomass. The resulting adsorbent (BPSF) was applied for the removal of crude oil from water surface. Optimization and modeling of the process parameters was done using response surface methodology (RSM), artificial neural network-genetic algorithm (ANN-GA), and adaptive neuro-fuzzy inference system-genetic algorithm (ANFIS-GA). Result shows that the optimum removal of oil occurred at oil water ratio of 0.4 g /100cm3 with 94.8% oil removal. Meanwhile, BPSF exhibited high adsorptive potential at a very low pH of 4 with 95.12% oil removal. Thermodynamic studies revealed activation energy, change in enthalpy and change in entropy of the process as (19.55, 24.68, -0.438 KJ/mols) and (53.82,31.66, -0.186 KJ/mols) indicating non-spontaneous process. Equilibrium modeling revealed that the composite material was highly matched to Langmuir isotherm model with regression coefficient > 98% with maximum adsorption capacity of 53.26 mg/g. Optimization of the process shows the optimum conditions as 100 °C, 0.4 g/100cm3, 2.1 g, 6 and 75 mins for temperature, oil concentration, adsorbent dosage, pH and time. RSM, ANFIS, and ANN models adequately predicted the oil removal with correlation coefficient > 0.97 but statistically, ANN was the best model followed by ANFIS and RSM models. Results obtained from this investigation has shown that esterified banana pseudo stem fiber composite is an efficient, economic viable and sustainable adsorbent since the properties obtained is competing favorably with commercial adsorbents. |
| first_indexed | 2024-04-12T16:21:08Z |
| format | Article |
| id | doaj.art-96777d3033bb4e2bbaea76779f91095d |
| institution | Directory Open Access Journal |
| issn | 2666-5239 |
| language | English |
| last_indexed | 2024-04-12T16:21:08Z |
| publishDate | 2022-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Applied Surface Science Advances |
| spelling | doaj.art-96777d3033bb4e2bbaea76779f91095d2022-12-22T03:25:33ZengElsevierApplied Surface Science Advances2666-52392022-06-019100259ANN-GA, ANFIS-GA and Thermodynamics base modeling of crude oil removal from surface water using organic acid grafted banana pseudo stem fiberInnocent Sunday Ike0Christian O. Asadu1Chinonso Anthony Ezema2Thomas O. Onah3Nick O. Ogbodo4Evelyn Uloma Godwin-Nwakwasi5Chijioke Elijah Onu6Deaprtment of Chemical Engineering, Federal University of Technology, Owerri Imo State Nigeria; African Centre of Excellence in Future Energies and Electrochemical System (ACE-FUELS), Federal University of Technology, Owerri, NigeriaDepartment of Chemical Engineering, Gregory University, P.M.B 1012 Uturu Abia State Nigeria; Corresponding author.Department of Microbiology, University of Nigeria Nsukka, Enugu State, Nigeria; Graduate School of Life Science, Hokkaido University, 060-0810, Sapporo, JapanDepartment of Mechanical Engineering, Enugu State University of Science and Technology, Enugu, NigeriaDepartment of Chemical Engineering, Enugu State University of Science and Technology, Enugu, Nigeria; OVH Energy Limited, Port Harcourt, Rivers State, NigeriaDepartment of Pure and Industrial Chemistry, Gregory University, P.M.B 1012 Uturu, Abia StateDepartment of Chemical Engineering, Nnamdi Azikiwe University, AwkaBanana pseudo stem fiber adsorbent (BPSF) with well-ordered framework of porosity was fabricated via esterification reaction between organic acid and the biomass. The resulting adsorbent (BPSF) was applied for the removal of crude oil from water surface. Optimization and modeling of the process parameters was done using response surface methodology (RSM), artificial neural network-genetic algorithm (ANN-GA), and adaptive neuro-fuzzy inference system-genetic algorithm (ANFIS-GA). Result shows that the optimum removal of oil occurred at oil water ratio of 0.4 g /100cm3 with 94.8% oil removal. Meanwhile, BPSF exhibited high adsorptive potential at a very low pH of 4 with 95.12% oil removal. Thermodynamic studies revealed activation energy, change in enthalpy and change in entropy of the process as (19.55, 24.68, -0.438 KJ/mols) and (53.82,31.66, -0.186 KJ/mols) indicating non-spontaneous process. Equilibrium modeling revealed that the composite material was highly matched to Langmuir isotherm model with regression coefficient > 98% with maximum adsorption capacity of 53.26 mg/g. Optimization of the process shows the optimum conditions as 100 °C, 0.4 g/100cm3, 2.1 g, 6 and 75 mins for temperature, oil concentration, adsorbent dosage, pH and time. RSM, ANFIS, and ANN models adequately predicted the oil removal with correlation coefficient > 0.97 but statistically, ANN was the best model followed by ANFIS and RSM models. Results obtained from this investigation has shown that esterified banana pseudo stem fiber composite is an efficient, economic viable and sustainable adsorbent since the properties obtained is competing favorably with commercial adsorbents.http://www.sciencedirect.com/science/article/pii/S2666523922000496ModelingAdsorptionBanana pseudo stem fiberEsterificationCrude oilThermodynamics |
| spellingShingle | Innocent Sunday Ike Christian O. Asadu Chinonso Anthony Ezema Thomas O. Onah Nick O. Ogbodo Evelyn Uloma Godwin-Nwakwasi Chijioke Elijah Onu ANN-GA, ANFIS-GA and Thermodynamics base modeling of crude oil removal from surface water using organic acid grafted banana pseudo stem fiber Applied Surface Science Advances Modeling Adsorption Banana pseudo stem fiber Esterification Crude oil Thermodynamics |
| title | ANN-GA, ANFIS-GA and Thermodynamics base modeling of crude oil removal from surface water using organic acid grafted banana pseudo stem fiber |
| title_full | ANN-GA, ANFIS-GA and Thermodynamics base modeling of crude oil removal from surface water using organic acid grafted banana pseudo stem fiber |
| title_fullStr | ANN-GA, ANFIS-GA and Thermodynamics base modeling of crude oil removal from surface water using organic acid grafted banana pseudo stem fiber |
| title_full_unstemmed | ANN-GA, ANFIS-GA and Thermodynamics base modeling of crude oil removal from surface water using organic acid grafted banana pseudo stem fiber |
| title_short | ANN-GA, ANFIS-GA and Thermodynamics base modeling of crude oil removal from surface water using organic acid grafted banana pseudo stem fiber |
| title_sort | ann ga anfis ga and thermodynamics base modeling of crude oil removal from surface water using organic acid grafted banana pseudo stem fiber |
| topic | Modeling Adsorption Banana pseudo stem fiber Esterification Crude oil Thermodynamics |
| url | http://www.sciencedirect.com/science/article/pii/S2666523922000496 |
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