scholarly journals Kinetic, equilibrium and thermodynamic studies of the adsorption of paracetamol in activated carbon in batch model and fixed-bed column

2021 ◽  
Vol 11 (2) ◽  
Author(s):  
Nathalia Krummenauer Haro ◽  
Ivone Vanessa Jurado Dávila ◽  
Keila Guerra Pacheco Nunes ◽  
Marcela Andrea Espina de Franco ◽  
Nilson Romeu Marcilio ◽  
...  
Keyword(s):  
Experimental Data ◽  
Activated Carbon ◽  
Adsorption Process ◽  
Fixed Bed ◽  
Experimental Conditions ◽  
Fixed Bed Column ◽  
Solid Adsorbent ◽  
Column Adsorption ◽  
Best Fit ◽  
Kinetic Equilibrium

AbstractThis work studied the removal of paracetamol through the adsorption process using the granular activated carbon. The results indicated that it was possible to obtain 95% of removal under the experimental conditions of pH 6, 120 min of process and 5 g L−1 of solid adsorbent. The kinetic model that best fit the experimental data was the pseudo-first order. The isotherm model that best fit the experimental data was the Sips. The thermodynamic tests indicated that the adsorption process was favorable and spontaneous and confirmed the endothermic nature of the process. In fixed bed column adsorption, the best operating condition found was obtained using the flow rate of 3 mL min−1 and bed mass equal to 0.5 g. In this case, the system presented the highest volume of treated PAR effluent, of 810 mL per gram of carbon in the bed, besides a longer rupture time and bed saturation.

Fixed-bed column adsorption of the coffee aroma compound benzaldehyde from aqueous solution onto granular activated carbon from coconut husk

LWT ◽  
2014 ◽  
Vol 59 (2) ◽  
pp. 1025-1032 ◽  
Author(s):  
Anderson Marcos Dias Canteli ◽  
Danielle Carpiné ◽  
Agnes de Paula Scheer ◽  
Marcos R. Mafra ◽  
Luciana Igarashi-Mafra
Keyword(s):  
Aqueous Solution ◽  
Activated Carbon ◽  
Fixed Bed ◽  
Granular Activated Carbon ◽  
Aroma Compound ◽  
Fixed Bed Column ◽  
Coconut Husk ◽  
Column Adsorption

scholarly journals Modeling of milk lactose removal by column adsorption using artificial neural networks: MLP and RBF

2019 ◽  
Vol 25 (4) ◽  
pp. 369-382
Author(s):  
Manuela Leite ◽  
Matheus Santos ◽  
Eulina Costa ◽  
Acenini Balieiro ◽  
Álvaro Lima ◽  
...  
Keyword(s):  
Adsorption Process ◽  
Radial Basis Function Network ◽  
Fixed Bed ◽  
Computational Time ◽  
Multilayer Perceptrons ◽  
Neural Models ◽  
Fixed Bed Column ◽  
Column Adsorption ◽  
Ann Models ◽  
Artificial Neural

Artificial neural network (ANN) techniques are effective in modeling nonlinear processes, are simple to implement and require low computational time. In this work, the lactose adsorption process for continuous flow in a fixed-bed column with a molecularly imprinted polymer (MIP) adsorbent was modeled using an ANN technique. The neural models allowed predicting the relative lactose concentration (C/C0) from the interactions between the variables of contact time (min), temperature (?C), granulometry (mesh), bed height (cm) and flow rate (mL min-1). The ANN models were developed in MATLAB using multilayer perceptrons (MLP) and a radial basis function network (RBF). The MLP model was developed using a three-layer feed forward backpropagation network with 5, 8 and 4 neurons in the first, second and third layer, respectively. The function (RBF) network is also proposed and its performance is compared to a traditional network type. The best architecture configuration RBF model was developed using 5, 14 and 1 neurons in the first, second and third layer, respectively. The proposal of development of mathematical models applied to multi-component adsorption system for milk using these approaches is innovative. The resulting breakthrough curve models for lactose adsorption were in good agreement with the experimental results. Performance indices, such as R?, MSE, RMSE, SSE, MAE and RME were used to evaluate the reliabilities and accuracies of the models. A comparison between the ANN models shows the ability to predict the breakthrough curves of lactose removal in the milk adsorption process. Though, the MLP network model shows more accurately a higher correlation coefficient (R2 = 0.9751) and lower values for the obtained error indices. The accuracy of the model is confirmed by the comparison between the predicted and experimental data. The results showed that both neural models efficiently described the non-linear process of lactose adsorption in a fixed-bed column.

scholarly journals Use of activated carbon from Sapindus for the adsorption of methylene blue

2018 ◽  
Vol 19 (1) ◽  
pp. 112-122 ◽  
Author(s):  
Taous Hamad ◽  
◽  
Zoubir Benmaamar ◽  
Mohamad Nedjioui ◽  
Ahmed Boucherit ◽  
...  
Keyword(s):  
Experimental Data ◽  
Methylene Blue ◽  
Activated Carbon ◽  
Adsorption Kinetics ◽  
Low Cost ◽  
Distribution Functions ◽  
Blue Dye ◽  
Experimental Conditions ◽  
Effects Of Ph ◽  
Best Fit

Activated carbon was produced from Sapindusfruitresidue and wasused for the adsorption of methylene blue dye from simulated aqueous solution. Adsorption kinetics of methylene blue onto actived carbonwerestudied in a batch system. The effects of pH and contact time were examined. The goal of the present study was the determination of the optimal experimental conditions. The maximum adsorption of methylene blue occurredat pH 6.0(4.83 mg/g) and the lowest adsorption occurred at pH 2.0(4.35 mg/g).120 min was the time needed for apparent equilibrium.Adsorption modelling was determined by using theFreundlich and Langmuir isotherms.Data were interpreted based on R2and various error distribution functions. Adsorption isotherm was best described bynon linear Freundlichisotherm model. In order to determine the best-fit-adsorption kinetics, the experimental data were analyzed using pseudo-first-order, pseudo-second-order, pseudo-third-order, Esquivel, and Elovichmodels. The needed relative parameters were determined bylinear and non-linear regressive methods. The statistical functions were estimated to find the suitable method which fit the experimental data. Both methods were suitable to obtain the required parameters. The model that best fit the present equilibrium data was the linear Elovichmodel (type 1 and 2). The present work showed that activated carbon can be used as a low cost adsorbent for the methylene blue removal from aqueous solutions.

scholarly journals Behaviors of hydrogen sulfide removal using granular activated carbon and modified granular activated carbon

2018 ◽  
Vol 192 ◽  
pp. 03037 ◽  
Author(s):  
Songkiat Roddaeng ◽  
Pongjet Promvonge ◽  
Rewadee Anuwattana
Keyword(s):  
Activated Carbon ◽  
Fixed Bed ◽  
Surface Adsorption ◽  
Granular Activated Carbon ◽  
Breakthrough Curves ◽  
Fixed Bed Column ◽  
Hydrogen Sulfide Removal ◽  
Solid Adsorbent ◽  
Adsorption Capacities ◽  
H2s Adsorption

An experimental study on hydrogen sulphide (H2S) adsorption behaviours using amine-impregnated solid adsorbent (GAC/PEI) was carried out for H2S concentration in the range of 200 and 400 ppm. The dynamic adsorptions of GAC and modified GAC (2.0 and 1000 g/L PEI) in a fixed-bed column were investigated by determining the breakthrough curves and adsorption capacities of various adsorbents. The adsorbent exhibits an excellent adsorption capacity of 106.87 and 231.45 mgH2S/g-adsorbent for 200 ppm and 400 ppm H2S, respectively. The H2S breakthrough capacity is found to relate to the surface adsorption and chemical adsorption.

Batch and Fixed-Bed Column Adsorption of Cd(II) from Aqueous Solution onto Oxidized Bead-Shaped Activated Carbon

2015 ◽  
Vol 48 (2) ◽  
pp. 123-126 ◽  
Author(s):  
Kotaku Takeuchi ◽  
Yoshimasa Amano ◽  
Motoi Machida ◽  
Fumio Imazeki
Keyword(s):  
Aqueous Solution ◽  
Activated Carbon ◽  
Fixed Bed ◽  
Fixed Bed Column ◽  
Column Adsorption

scholarly journals Modeling of lead (II) adsorption on sodium hydroxide treated rice husk: Fixed-bed studies

2017 ◽  
Vol 13 (4) ◽  
pp. 803-806 ◽  
Author(s):  
Abdurrahman Garba ◽  
Hatijah Basri ◽  
Noor Shawal Nasri ◽  
Umar Hayatu Siddiq ◽  
Abdul Rasheed Abdul Rahman
Keyword(s):  
Experimental Data ◽  
Aqueous Solutions ◽  
Adsorption Capacity ◽  
Rice Husk ◽  
Flow Rate ◽  
Adsorption Process ◽  
Lead Concentration ◽  
Fixed Bed ◽  
The Other ◽  
Fixed Bed Column

The treated rice husk has been evaluated as a sorbent for removing lead (II) from aqueous solutions in fixed-bed studies. In this paper, the effects of flow rate (3 and 9 mL/min), bed depth (0.9, 1.8 and 2.8 cm) and influent lead concentration of (5 and 20 mg/L) on the adsorption capacity of the adsorbent in a fixed-bed column were investigated. The highest adsorption capacity (78 %) on a 20 mg/L Pb (II) solution was achieved within a flow rate of 9 mL/min and a bed depth of 2.8 cm. The experimental data obtained from the adsorption process was correlated with the Thomas, Adams– Bohart and Yoon–Nelson models. The results of the parameters indicated Adams–Bohart model fitted well over the other models.

Modeling of breakthrough curves for aqueous iron (III) adsorption on chitosan-sodium tripolyphosphate

2016 ◽  
Vol 74 (10) ◽  
pp. 2297-2304 ◽  
Author(s):  
Dalia I. Sánchez-Machado ◽  
Jaime López-Cervantes ◽  
Ma. A. Correa-Murrieta ◽  
Reyna G. Sánchez-Duarte
Keyword(s):  
Experimental Data ◽  
Flow Rate ◽  
Adsorption Process ◽  
Sodium Tripolyphosphate ◽  
Fixed Bed ◽  
Breakthrough Curves ◽  
Operating Conditions ◽  
Feed Concentration ◽  
Fixed Bed Column ◽  
Continuous Adsorption

A fixed bed column packed with chitosan-sodium tripolyphosphate (CTPP) beads was used to remove aqueous Fe (III) ions. The adsorption of Fe (III) ions on CTPP beads was found to be dependent on operating conditions, such as the flow rate, adsorbent bed length, and feed concentration. The experimental data were assessed with Thomas, Adams-Bohart and Yoon-Nelson models to predict the breakthrough curves using linear regression. The breakthrough curves were better fitted with the Thomas and Yoon-Nelson models when the flow rate was varied and the feed concentration and the bed height of the column were fixed. Therefore, chemical adsorption may be the limiting step that controls the continuous adsorption process. The Adams-Bohart model presented a good fit to the experimental data, showing that external mass transfer was controlling the adsorption process in the initial part of the breakthrough curves. The parameters obtained from the continuous adsorption assays may be used as a basis for designing columns packed with CTPP beads for the removal of Fe (III) ions.

scholarly journals Statistical Optimization and Modeling of Methylene Blue Adsorption Onto Graphene Oxide in Batch and Fixed-Bed Column

2018 ◽  
Vol 5 (1) ◽  
pp. 21-34
Author(s):  
Habib Koolivand ◽  
Afsaneh Shahbazi
Keyword(s):  
Experimental Data ◽  
Methylene Blue ◽  
Graphene Oxide ◽  
Fixed Bed ◽  
Second Order ◽  
Batch Adsorption ◽  
Fixed Bed Column ◽  
Column Adsorption ◽  
Pseudo Second Order ◽  
Real Wastewater

The batch and fixed-bed column adsorption of methylene blue (MB), a widely used toxic dye, onto graphene oxide (GO) was investigated in this study. GO was synthesized using modified Hummers method and characterized by scanning electron microscopy (SEM), X-ray diffraction (XRD), and Fourier transform infrared spectroscopy (FTIR). Response surface methodology (RSM) was employed to optimize batch and fixed-bed column adsorption of MB. Batch adsorption experiments were carried out by central composite design (CCD) with three input parameters including initial MB concentration (C0: 50-350 mg/L), GO dosage (D: 0.05-0.7 g/L), and pH (pH: 3-9). The adsorption capacity of GO for MB removal in the optimum level of factors (C0: 50 mg/L, D: 0.05 g/L, and pH: 8.5) was predicted by the model to be 700 mg/g. Adsorption kinetic data were tested using pseudo-first order, pseudo-second order, and intraparticle diffusion models. The kinetic experimental data was well fitted with pseudo-second order kinetic model (R2=1). The adsorption of MB onto GO demonstrated that Langmuir model (R2=0.999) could better fit the adsorption data than the Freundlich model (R2=0.914). Thermodynamic parameters including enthalpy (ΔH), Gibbs free energy (ΔG), and entropy (ΔS) were also investigated. Positive value of ΔH and negative value of ΔG indicated the endothermic and spontaneous nature of the adsorption. The positive value of ΔS also showed increased randomness at the solid/liquid interface during the adsorption of MB onto GO. The real wastewater experiment at optimum conditions showed high performance of adsorbent in the presence of other ions. Fixed-bed column experiments were designed using a three-factor, three-level Box-Behnken design (BBD) to investigate the single and combined effects of influent concentration (Cinf: 50-200 mg/L), flow rate (Q: 0.25-0.8 mL/min), and bed height (BH: 3-7 cm). MB removal from GO in the optimum levels of factors (Cinf: 51 mg/L, BH: 5.7 cm, and Q: 0.25 mL/min) was predicted by the model to be 86% (qe=459.3 mg/g). Fixed-bed experimental data were also fitted well to the Thomas and BDST models. The results showed that GO can be used as an efficient adsorbent for batch and fixed-bed adsorption of cationic dyes from synthetic and real wastewater.

Thermodynamics of Formaldehyde Removal by Adsorption onto Nanosilver Loaded Bamboo-Based Activated Carbon

2017 ◽  
Vol 890 ◽  
pp. 93-97
Author(s):  
Wara Dyah Pita Rengga ◽  
Sri Wahyuni ◽  
Agung Feinnudin
Keyword(s):  
Activated Carbon ◽  
Adsorption Capacity ◽  
Adsorption Process ◽  
Fixed Bed ◽  
Formaldehyde Concentration ◽  
Fixed Bed Column ◽  
Adsorptive Removal ◽  
Formaldehyde Removal ◽  
Different Temperatures ◽  
Formaldehyde Adsorption

The performance of nanosilver loaded bamboo-based activated carbon as an adsorbent used for the adsorptive removal of formaldehyde in the air. The size porous of the active carbon is predominantly on the size of mesoporous and microporous. Adsorption tests have been evaluated in laboratory scale fixed-bed column, at different temperatures and initial formaldehyde concentration. In order to investigate is both equilibrium and thermodynamic aspects. The experimental data was fitted with Langmuir model and fit well with the adsorption capacity of 91-110 mg/g. The increase in temperature reduces the adsorption capacity. The thermodynamic parameters show that the values of ∆Go obtained to confirm the feasibility of activated carbon effective sorbents of formaldehyde. The formaldehyde adsorption process is exothermic and adsorbent has a good affinity to formaldehyde.

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