Orthogonal Experiments for Optimizing Adsorption Process of Methyl Orange onto Granular Activated Carbon

2012 ◽  
Vol 610-613 ◽  
pp. 1639-1644
Author(s):  
Wei Fang Dong ◽  
Li Hua Zang ◽  
Qi Lei Feng

This study investigated the treatment of methyl orange dye from aqueous solution with granular activated carbon as sorbents. Adsorption experiments were carried out at different contact time, the dosage of granular activated carbon, pH and initial dye concentration.Orthogonal experiment was designed to analyze the influence degree of operating parameters for optimizing adsorption process. The results demonstrated that the dosage of granular activated carbon had the greatest impact on the removal efficiency of methyl orange , followed by pH, contact time and initial concentration of methyl orange . The granular activated carbon possessed good adsorption capacity to methyl orange which the removal efficiency could reached 98.06% at the optimum dosage 4g and optimum time 90min.

2021 ◽  
Author(s):  
Ana Carina Cruz de Mello ◽  
Felipe Pereira da Silva ◽  
Andrea Medeiros Salgado ◽  
Fabiana Valéria da Fonseca

Abstract Tyrosinase enzyme present in a crude extract was immobilized in granular activated carbon (GAC) and activated chitosan beads (ACB). It was possible to immobilize up to 70.0 % of the enzymes in GAC in the conditions of 10.0 g of support, 15.7 rad/s of agitation and 90 minutes of contact time, and 100.0 % of enzymes in ACB when using 5 g of support, agitation of 15.7 rad/s and contact time of 120 minutes. In enzymatic oxidation tests, tyrosinase immobilized in GAC was able to achieve a final phenol concentration below the limit required by Brazilian law, 0.5 mg/L for phenol solutions with an initial concentration up to 20.0 mg/L while the enzyme immobilized in ACB was able to adapt solutions with initial concentrations of phenol up to 40.0 mg /L. It was possible to reuse the enzyme immobilized in GAC 2 times, maintaining the same phenol removal efficiency, while the enzyme immobilized in ACB maintained up to 98.0 % of its efficiency in 5 cycles of enzymatic oxidation of solutions with 10.0 mg/L of phenol initially. It was possible to maintain the same phenol removal efficiency as immobilized enzymes when stored for up to 2 weeks.


2013 ◽  
Vol 726-731 ◽  
pp. 2241-2245
Author(s):  
Wei Fang Dong ◽  
Li Hua Zang ◽  
Qi Lei Feng

The adsorption of methyl orange dye from aqueous solution was investigated with active carbon powder as sorbents. Effects of selected factors were studied through the use of L16 (44) orthogonal experiment for the optimal parameter. The results demonstrated that the orders of their influences were contact time > initial dye concentration > the dosage of active carbon powder > pH. It was then concluded that contact time must be given priority in removing methyl orange dye from wastewater. Under the optimum conditions (the dosage 10g, time70min, initial dye concentration 35mg/L, pH7), The active carbon powder possessed good adsorption capacity to methyl orange which the removal efficiency could reached 95.96%.


2019 ◽  
Vol 9 (8) ◽  
Author(s):  
Dominic Justine G. Rondina ◽  
Deanne V. Ymbong ◽  
Macvon Jovy M. Cadutdut ◽  
Jhon Ray S. Nalasa ◽  
Jonas B. Paradero ◽  
...  

Abstract In this study, a novel activated carbon adsorbent from the press mud of a sugarcane industry was used to remove methyl orange dye (MOD) from aqueous solution and was optimized via response surface methodology using the central composite design. The adsorbent was characterized by FTIR and SEM analysis and showed the presence of functional groups such as alcohols, nitriles, amides, alkane, alkyl halides, and alkenes, and it also showed fibrous surface morphological appearance. The factors affecting MOD adsorption, such as initial concentration, adsorbent dose, and contact time were examined, and optimal pH 2.0 to remove MOD in an aqueous solution that is found in various studies is also utilized. The results showed maximum MOD removal rate of 98.68% when the initial concentration, adsorbent dose, and contact time were optimally set as 24.17 mg/L, 0.5 g, and 20 min, respectively. The analysis of the equilibrium data revealed that MOD adsorption using press mud activated carbon best fitted the Langmuir isotherm (R2 = 0.96103) which implies monolayer adsorption process. Also, the kinetics of MOD adsorption using press mud activated carbon followed a pseudo-first-order model (R2 = 0.96096) which means that the active sites are proportional to the non-active sites during the adsorption process.


2017 ◽  
Vol 4 (12) ◽  
pp. 170834 ◽  
Author(s):  
M. Nageeb Rashed ◽  
M. A. Eltaher ◽  
A. N. A. Abdou

Nanocomposite TiO 2 /ASS (TiO 2 nanoparticle coated sewage sludge-based activated carbon) was synthesized by the sol-gel method. The changes in surface properties of the TiO 2 /ASS nanocomposite were characterized by X-ray diffraction (XRD), scanning electron microscope (SEM) and X-ray fluorescence. The prepared TiO 2 /ASS nanocomposite was applied for simultaneous removal of methyl orange dye (MO) and Cd 2+ from bi-pollutant solution. The factors influencing photocatalysis (TiO 2  : ASS ratios, initial pollutant concentrations, solution pH, nanocomposite dosage and UV irradiation time) were investigated. The results revealed that high removal efficiency of methyl orange dye (MO) and Cd 2+ from bi-pollutant solution was achieved with TiO 2 /ASS at a ratio (1 : 2). The obtained results revealed that degradation of MO dye on the TiO 2 /ASS nanocomposite was facilitated by surface adsorption and photocatalytic processes. The coupled photocatalysis and adsorption shown by TiO 2 /ASS nanocomposite resulted in faster and higher degradation of MO as compared to MO removal by ASS adsorbent. The removal efficiency of MO by ASS adsorbent and TiO 2 /ASS (1 : 2) nanocomposite at optimum pH value 7 were 74.14 and 94.28%, respectively, while for Cd 2+ it was more than 90%. The experimental results fitted well with the second-order kinetic reaction.


Water ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 608
Author(s):  
Aixin Yu ◽  
Yuankun Liu ◽  
Xing Li ◽  
Yanling Yang ◽  
Zhiwei Zhou ◽  
...  

As a key parameter in the adsorption process, removal rate is not available under most operating conditions due to the time and cost of experimental testing. To address this issue, evaluation of the efficiency of NH4+ removal from stormwater by coal-based granular activated carbon (CB-GAC), a novel approach, the response surface methodology (RSM), back-propagation artificial neural network (BP-ANN) coupled with genetic algorithm (GA), has been applied in this research. The sorption process was modeled based on Box-Behnben design (BBD) RSM method for independent variables: Contact time, initial concentration, temperature, and pH; suggesting a quadratic polynomial model with p-value < 0.001, R2 = 0.9762. The BP-ANN with a structure of 4-8-1 gave the best performance. Compared with the BBD-RSM model, the BP-ANN model indicated better prediction of the response with R2 = 0.9959. The weights derived from BP-ANN was further analyzed by Garson equation, and the results showed that the order of the variables’ effectiveness is as follow: Contact time (31.23%) > pH (24.68%) > temperature (22.93%) > initial concentration (21.16%). The process parameters were optimized via RSM optimization tools and GA. The results of validation experiments showed that the optimization results of GA-ANN are more accurate than BBD-RSM, with contact time = 899.41 min, initial concentration = 17.35 mg/L, temperature = 15 °C, pH = 6.98, NH4+ removal rate = 63.74%, and relative error = 0.87%. Furthermore, the CB-GAC has been characterized by Scanning electron microscopy (SEM), X-ray diffraction (XRD) and Brunauer-Emmett-Teller (BET). The isotherm and kinetic studies of the adsorption process illustrated that adsorption of NH4+ onto CB-GAC corresponded Langmuir isotherm and pseudo-second-order kinetic models. The calculated maximum adsorption capacity was 0.2821 mg/g.


2013 ◽  
Vol 6 (1) ◽  
pp. 25-28 ◽  
Author(s):  
Mária Valičková ◽  
Ján Derco ◽  
Katarína Šimovičová

Abstract The paper is focused on the removal of selected priority hazardous substances. Five chlorinated pesticides, i.e. hexachlorobenzene (HCHB), hexachlorobutadiene (HCHBD), lindane (LIN), pentachlorobenzene (PCHB) and heptachlor (HCH) were selected as model pollutants. Higher volatility is characteristic for these substances. Adsorption of these pollutants on granular activated carbon (GAC), zeolite (Zeo) and activated sludge (AS) was investigated. The effect of contact time on the removal efficiency of studied substances was investigated. From results of the work it follows that the highest removal efficiency of studied substances was achieved by the adsorption on activated sludge. This was followed by adsorption efficiency on zeolite. The lowest removal efficiency was measured for adsorption on granular activated carbon.


Author(s):  
Joshua O. Ighalo ◽  
Lois T. Arowoyele ◽  
Samuel Ogunniyi ◽  
Comfort A. Adeyanju ◽  
Folasade M. Oladipo-Emmanuel ◽  
...  

Background: The presence of pollutants in polluted water is not singularized hence pollutant species are constantly in competition for active sites during the adsorption process. A key advantage of competitive adsorption studies is that it informs on the adsorbent performance in real water treatment applications. Objective: This study aims to investigate the competitive adsorption of Pb(II), Cu(II), Fe(II) and Zn(II) using elephant grass (Pennisetum purpureum) biochar and hybrid biochar from LDPE. Method: The produced biochar was characterised by Scanning Electron Microscopy (SEM) and Fourier Transform Infrared Spectroscopy (FTIR). The effect of adsorption parameters, equilibrium isotherm modelling and parametric studies were conducted based on data from the batch adsorption experiments. Results: For both adsorbents, the removal efficiency was >99% over the domain of the entire investigation for dosage and contact time suggesting that they are very efficient for removing multiple heavy metals from aqueous media. It was observed that removal efficiency was optimal at 2 g/l dosage and contact time of 20 minutes for both adsorbent types. The Elovich isotherm and the pseudo-second order kinetic models were best-fit for the competitive adsorption process. Conclusion: The study was able to successfully reveal that biomass biochar from elephant grass and hybrid biochar from LDPE can be used as effective adsorbent material for the removal of heavy metals from aqueous media. This study bears a positive implication for environmental protection and solid waste management.


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