Modelling of methylene blue adsorption using peroxidase immobilized functionalized Buckypaper/polyvinyl alcohol membrane via ant colony optimization

Jun, Lau Yien; Karri, Rama Rao; Mubarak, Nabisab Mujawar; Yon, Lau Sie; Bing, Chua Han; Khalid, Mohammad; Jagadish, Priyanka; Abdullah, Ezzat Chan

doi:10.1016/j.envpol.2020.113940

Cited by 75 publications

(15 citation statements)

References 54 publications

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“…To analyze the adsorption kinetic process of all studied biochars (raw and activated), the nonlinear pseudo-first-order (PFO), nonlinear pseudo-second-order (PSO), and intraparticle diffusion models (ID) were applied. The nonlinear forms of PFO (eq ), PSO (eq ), and the ID (eq ) models are expressed in the following equations where q e (mg/g) is the adsorption capacity at equilibrium; q t (mg/g) is the adsorption capacity at contact time t (min); K 1 (min –1 ), K 2 (g/(mg min)), and K p (g/(mg min 1/2 )) are the equilibrium rate constants for PFO, PSO, and ID models, respectively; and C is a constant.…”

Section: Experimental Sectionmentioning

confidence: 99%

Production and Dry Mechanochemical Activation of Biochars Derived from Moroccan Red Macroalgae Residue and Olive Pomace Biomass for Treating Wastewater: Thermodynamic, Isotherm, and Kinetic Studies

Tayibi

Monlau²,

Fayoud

et al. 2020

ACS Omega

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This study aimed to produce activated biochars (BCs) from Moroccan algae residue (AG) and olive pomace (OP) using mechanochemical activation with NaOH and ball milling (BM) for treating artificial textile wastewater containing methylene blue (MeB). The produced OP-activated BC by BM showed the highest absolute value of ζ-potential (−59.7 mV) and high removal efficiency of MeB compared to other activated BCs. The nonlinear pseudo-first-order kinetic model was the most suitable model to describe the kinetics of adsorption of MeB onto biochars produced from AG and the NaOH-activated BC from OP, whereas the nonlinear pseudo-second-order kinetic model suits the OP raw biochar and BM-activated BC. The nonlinear Langmuir isotherm model was the most suitable model for describing MeB adsorption onto BCs, compared to the nonlinear Freundlich isotherm model. The maximum adsorption capacities of AG-activated BCs with NaOH and BM were 13.1 and 9.1 mg/g, respectively, while those of OP-activated BCs were 2.6 and 31.8 mg/g, respectively. The thermodynamic study indicates the spontaneous and endothermic nature of the adsorption process of most activated BCs. In addition, ΔS° values indicate the increase of randomness at the solid–liquid interface during MeB sorption onto BC.

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Section: Experimental Sectionmentioning

confidence: 99%

Production and Dry Mechanochemical Activation of Biochars Derived from Moroccan Red Macroalgae Residue and Olive Pomace Biomass for Treating Wastewater: Thermodynamic, Isotherm, and Kinetic Studies

Tayibi

Monlau²,

Fayoud

et al. 2020

ACS Omega

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“…Some unsuccessful recognition result images of paper and comparison images are shown in Figure 8. e feature information of Figure 8 is shown in Tables 6 and 7, where these numbers (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15) are characteristic information number (see Section 2.1 for details).…”

Section: Some Unsuccessful Recognition Results Images Andmentioning

confidence: 99%

“…e differential evolution-(DE-) based metaheuristic optimization algorithm was used for optimizing the search space of artificial neural network (ANN), and the effect of ANN-DEbased model predictions was better than the traditional quadratic model predictions [5]. Jicama peroxidase was immobilized on the surface modified buckypaper/polyvinyl alcohol membrane and employed for the application of methylene blue dye removal from aqueous solution, and the parameters of the isotherm and kinetic models were estimated using ant colony optimization (ACO) [6]. e GA-ANN method was used to select the most important features affecting soil erodibility to wind, and minimization of the cost function was better than comparison algorithm [7].…”

Section: Introductionmentioning

confidence: 99%

Study on Waste Type Identification Method Based on Bird Flock Neural Network

Chen

2020

Mathematical Problems in Engineering

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According to the waste type identification requirement in waste classification, a waste type identification method based on a bird flock neural network (BFNN) was proposed. The problem of obtaining the feature dataset of waste images was considered, and color histogram and texture feature extraction techniques were used. The local optimum problem of a typical backpropagation neural network (BPNN) was considered, and a bird flock optimization (BFO) algorithm was proposed. The accuracy problem of the typical BPNN was considered, and a new online weight adjustment method of neurons was proposed. The number of hidden layer neurons (nodes) of the typical BPNN was considered, and an online adjustment method was proposed. The experimental results show that the recyclables (paper, plastic, glass, and cloth) and nonrecyclables can effectively be identified by the waste type identification method based on the BFNN, and the recognition accuracy is 81% which meets actual needs.

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“…The modified membranes were found effective in degradation of MB dye (64 %) in wastewater without showing any variation in their removal effi-ciency even after eight reuse applications. Studies indicated that these membranes are able to have a notable impact on the development of effective green and sustainable wastewater treatment technologies [47]. The efficacy of these membranes in removal of MB was confirmed by applying an artificial neural network approach coupled with particle swarm optimization (ANN-PSO).…”

Section: Carbon Nanotubesmentioning

confidence: 95%

Carbon Nanomaterials for Wastewater Treatment

et al. 2021

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The research progress made in recent years in removal of organic-inorganic pollutants from wastewater using various types of carbon materials as adsorbents such as carbon nanotubes, carbon nanofibers, graphenes, graphitic carbon nitride, fullerene, activated carbon spheres, and carbon quantum dots is reviewed. These carbon nanomaterials with hierarchical structures are efficient and economical adsorbents. The techniques of metal impregnation and doping help to control the porosity and surface area of nanomaterials. Electrostatic forces, p-p and p-e interactions, van der Waals weak forces, and oxygen-containing groups are considered responsible for the removal of pollutants from wastewater. The carbon nanomaterial-based photocatalysts are applied successfully in decomposition of persistent dyes under visible light. Fe 3 O 4 magnetic material is employed as recyclable adsorbent after treatment of wastewater. Freundlich and Langmuir models are found more suitable to calculate the adsorption efficiency and adsorption kinetics of pollutants. Criteria and properties of carbon nanomaterials are discussed that might play a significant role in remediation of wastewater.

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Modelling of methylene blue adsorption using peroxidase immobilized functionalized Buckypaper/polyvinyl alcohol membrane via ant colony optimization

Cited by 75 publications

References 54 publications

Production and Dry Mechanochemical Activation of Biochars Derived from Moroccan Red Macroalgae Residue and Olive Pomace Biomass for Treating Wastewater: Thermodynamic, Isotherm, and Kinetic Studies

Production and Dry Mechanochemical Activation of Biochars Derived from Moroccan Red Macroalgae Residue and Olive Pomace Biomass for Treating Wastewater: Thermodynamic, Isotherm, and Kinetic Studies

Study on Waste Type Identification Method Based on Bird Flock Neural Network

Carbon Nanomaterials for Wastewater Treatment

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