Removal of dye using peroxidase-immobilized Buckypaper/polyvinyl alcohol membrane in a multi-stage filtration column via
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RESEARCH ARTICLE
Removal of dye using peroxidase-immobilized Buckypaper/polyvinyl alcohol membrane in a multi-stage filtration column via RSM and ANFIS Yien Jun Lau 1 & Rama Rao Karri 2 & Nabisab Mujawar Mubarak 1 & Sie Yon Lau 1 & Han Bing Chua 1 & Mohammad Khalid 3 & Priyanka Jagadish 3 & Ezzat Chan Abdullah 4 Received: 17 April 2020 / Accepted: 6 July 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract The feasibility and performance of Jicama peroxidase (JP) immobilized Buckypaper/polyvinyl alcohol (BP/PVA) membrane for methylene blue (MB) dye removal was investigated in a customized multi-stage filtration column under batch recycle mode. The effect of independent variables, such as influent flow rate, ratio of H2O2/MB dye concentration, and contact time on the dye removal efficiency, were investigated using response surface methodology (RSM). To capture the inherent characteristics and better predict the removal efficiency, a data-driven adaptive neuro-fuzzy inference system (ANFIS) is implemented. Results indicated that the optimum dye removal efficiency of 99.7% was achieved at a flow rate of 2 mL/min, 75:1 ratio of H2O2/dye concentration with contact time of 183 min. The model predictions of ANFIS are significantly good compared with RSM, thus resulting in R2 values of 0.9912 and 0.9775, respectively. The enzymatic kinetic parameters, Km and Vmax, were evaluated, which are 1.98 mg/L and 0.0219 mg/L/min, respectively. Results showed that JP-immobilized BP/PVA nanocomposite membrane can be promising and cost-effective biotechnology for the practical application in the treatment of industrial dye effluents. Keywords Enzyme immobilization . Buckypaper/polyvinyl alcohol membrane . Multi-stage filtration column . Response surface methodology . Adaptive neuro-fuzzy inference system . Process optimization
Introduction Responsible editor: Tito Roberto Cadaval Jr * Nabisab Mujawar Mubarak [email protected]; [email protected] Rama Rao Karri [email protected] Sie Yon Lau [email protected] 1
Department of Chemical Engineering, Faculty of Engineering and Science, Curtin University, 98009 Miri, Sarawak, Malaysia
2
Petroleum and Chemical Engineering, Faculty of Engineering, Universiti Teknologi Brunei (UTB), Gadong, Brunei Darussalam
3
Graphene & Advanced 2D Materials Research Group (GAMRG), School of Science and Technology, Sunway University, No. 5, Jalan Universiti, Bandar Sunway, 47500 Subang Jaya, Selangor, Malaysia
4
Department of Chemical Process Engineering, Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia (UTM), Jalan Sultan Yahya Petra, 54100 Kuala Lumpur, Malaysia
Over the past decade, there is a huge public concern on the environmental impact of dye pollution due to their numerous ill effects. Scientific literature has reported that there are ~ 1.6 million tons of dyes produced worldwide each year, and approximately 10 to 15% of these dyes are produced in textile industries, which release huge amounts of was
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