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Mohammadzadeh A, Ramezani M, Ghaedi A. Synthesis and characterization of Fe2O3–ZnO–ZnFe2O4/carbon nanocomposite and its application to removal of bromophenol blue dye using ultrasonic assisted method: Optimization by response surface methodology and genetic algorithm. J Taiwan Inst Chem Eng 2016. [DOI: 10.1016/j.jtice.2015.07.034] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Ghaedi M, Ghaedi A, Mirtamizdoust B, Agarwal S, Gupta VK. Simple and facile sonochemical synthesis of lead oxide nanoparticles loaded activated carbon and its application for methyl orange removal from aqueous phase. J Mol Liq 2016. [DOI: 10.1016/j.molliq.2015.09.051] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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53
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Ghaedi M, Rahimi MR, Ghaedi AM, Tyagi I, Agarwal S, Gupta VK. Application of least squares support vector regression and linear multiple regression for modeling removal of methyl orange onto tin oxide nanoparticles loaded on activated carbon and activated carbon prepared from Pistacia atlantica wood. J Colloid Interface Sci 2015; 461:425-434. [PMID: 26414425 DOI: 10.1016/j.jcis.2015.09.024] [Citation(s) in RCA: 92] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2015] [Revised: 09/07/2015] [Accepted: 09/08/2015] [Indexed: 11/25/2022]
Abstract
Two novel and eco friendly adsorbents namely tin oxide nanoparticles loaded on activated carbon (SnO2-NP-AC) and activated carbon prepared from wood tree Pistacia atlantica (AC-PAW) were used for the rapid removal and fast adsorption of methyl orange (MO) from the aqueous phase. The dependency of MO removal with various adsorption influential parameters was well modeled and optimized using multiple linear regressions (MLR) and least squares support vector regression (LSSVR). The optimal parameters for the LSSVR model were found based on γ value of 0.76 and σ(2) of 0.15. For testing the data set, the mean square error (MSE) values of 0.0010 and the coefficient of determination (R(2)) values of 0.976 were obtained for LSSVR model, and the MSE value of 0.0037 and the R(2) value of 0.897 were obtained for the MLR model. The adsorption equilibrium and kinetic data was found to be well fitted and in good agreement with Langmuir isotherm model and second-order equation and intra-particle diffusion models respectively. The small amount of the proposed SnO2-NP-AC and AC-PAW (0.015 g and 0.08 g) is applicable for successful rapid removal of methyl orange (>95%). The maximum adsorption capacity for SnO2-NP-AC and AC-PAW was 250 mg g(-1) and 125 mg g(-1) respectively.
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Affiliation(s)
- M Ghaedi
- Chemistry Department, Yasouj University, Yasouj 75918-74831, Iran.
| | - Mahmoud Reza Rahimi
- Chemical Engineering Department, Yasouj University, Yasouj 759418-74831, Iran
| | - A M Ghaedi
- Department of Chemistry, Faculty of Science, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran, Iran
| | - Inderjeet Tyagi
- Department of Chemistry, Indian Institute of Technology Roorkee, 247667, India
| | - Shilpi Agarwal
- Department of Chemistry, Indian Institute of Technology Roorkee, 247667, India; Department of Applied Chemistry, University of Johannesburg, Johannesburg, South Africa
| | - Vinod Kumar Gupta
- Department of Chemistry, Indian Institute of Technology Roorkee, 247667, India; Center for Environment and Water, The Research Institute, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia; Department of Applied Chemistry, University of Johannesburg, Johannesburg, South Africa.
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Ghaedi M, Shojaeipour E, Ghaedi AM, Sahraei R. Isotherm and kinetics study of malachite green adsorption onto copper nanowires loaded on activated carbon: artificial neural network modeling and genetic algorithm optimization. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2015; 142:135-149. [PMID: 25699703 DOI: 10.1016/j.saa.2015.01.086] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2014] [Revised: 01/14/2015] [Accepted: 01/29/2015] [Indexed: 06/04/2023]
Abstract
In this study, copper nanowires loaded on activated carbon (Cu-NWs-AC) was used as novel efficient adsorbent for the removal of malachite green (MG) from aqueous solution. This new material was synthesized through simple protocol and its surface properties such as surface area, pore volume and functional groups were characterized with different techniques such XRD, BET and FESEM analysis. The relation between removal percentages with variables such as solution pH, adsorbent dosage (0.005, 0.01, 0.015, 0.02 and 0.1g), contact time (1-40min) and initial MG concentration (5, 10, 20, 70 and 100mg/L) was investigated and optimized. A three-layer artificial neural network (ANN) model was utilized to predict the malachite green dye removal (%) by Cu-NWs-AC following conduction of 248 experiments. When the training of the ANN was performed, the parameters of ANN model were as follows: linear transfer function (purelin) at output layer, Levenberg-Marquardt algorithm (LMA), and a tangent sigmoid transfer function (tansig) at the hidden layer with 11 neurons. The minimum mean squared error (MSE) of 0.0017 and coefficient of determination (R(2)) of 0.9658 were found for prediction and modeling of dye removal using testing data set. A good agreement between experimental data and predicted data using the ANN model was obtained. Fitting the experimental data on previously optimized condition confirm the suitability of Langmuir isotherm models for their explanation with maximum adsorption capacity of 434.8mg/g at 25°C. Kinetic studies at various adsorbent mass and initial MG concentration show that the MG maximum removal percentage was achieved within 20min. The adsorption of MG follows the pseudo-second-order with a combination of intraparticle diffusion model.
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Affiliation(s)
- M Ghaedi
- Chemistry Department, Yasouj University, Yasouj 75918-74831, Iran.
| | - E Shojaeipour
- Department of Chemistry, Islamic Azad University, Omidiyeh Branch, Omidiyeh, Iran
| | - A M Ghaedi
- Department of Chemistry, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran, Iran
| | - Reza Sahraei
- Department of Chemistry, University of Ilam, P.O. Box 65315-516, Ilam, Iran
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Ghaedi AM, Ghaedi M, Karami P. Comparison of ultrasonic with stirrer performance for removal of sunset yellow (SY) by activated carbon prepared from wood of orange tree: artificial neural network modeling. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2015; 138:789-799. [PMID: 25435487 DOI: 10.1016/j.saa.2014.11.019] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2014] [Revised: 10/26/2014] [Accepted: 11/05/2014] [Indexed: 06/04/2023]
Abstract
The present work focused on the removal of sunset yellow (SY) dye from aqueous solution by ultrasound-assisted adsorption and stirrer by activated carbon prepared from wood of an orange tree. Also, the artificial neural network (ANN) model was used for predicting removal (%) of SY dye based on experimental data. In this study a green approach was described for the synthesis of activated carbon prepared from wood of an orange tree and usability of it for the removal of sunset yellow. This material was characterized using scanning electron microscopy (SEM) and transmission electron microscopy (TEM). The impact of variables, including initial dye concentration (mg/L), pH, adsorbent dosage (g), sonication time (min) and temperature (°C) on SY removal were studied. Fitting the experimental equilibrium data of different isotherm models such as Langmuir, Freundlich, Temkin and Dubinin-Radushkevich models display the suitability and applicability of the Langmuir model. Analysis of experimental adsorption data by different kinetic models including pseudo-first and second order, Elovich and intraparticle diffusion models indicate the applicability of the second-order equation model. The adsorbent (0.5g) is applicable for successful removal of SY (>98%) in short time (10min) under ultrasound condition.
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Affiliation(s)
- A M Ghaedi
- Department of Chemistry, Faculty of Science, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran, Iran.
| | - M Ghaedi
- Chemistry Department, Yasouj University, Yasouj 75918-74831, Iran.
| | - P Karami
- Department of Chemistry, Faculty of Science, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran, Iran
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56
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Bagheri AR, Ghaedi M, Hajati S, Ghaedi AM, Goudarzi A, Asfaram A. Random forest model for the ultrasonic-assisted removal of chrysoidine G by copper sulfide nanoparticles loaded on activated carbon; response surface methodology approach. RSC Adv 2015. [DOI: 10.1039/c5ra08399k] [Citation(s) in RCA: 67] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Copper sulfide nanoparticle-loaded activated carbon (CuS-NP-AC) was prepared and used as an adsorbent for the accelerated removal of chrysoidine G (CG) assisted by ultrasound.
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Affiliation(s)
- A. R. Bagheri
- Department of Chemistry
- Yasouj University
- Yasouj 75918-74831, Iran
| | - M. Ghaedi
- Department of Chemistry
- Yasouj University
- Yasouj 75918-74831, Iran
| | - S. Hajati
- Department of Physics
- Yasouj University
- Yasouj 75918-74831, Iran
| | - A. M. Ghaedi
- Department of Chemistry
- Gachsaran Branch
- Islamic Azad University
- Gachsaran 75818-63876, Iran
| | - A. Goudarzi
- Department of Polymer Engineering
- Golestan University
- Gorgan 49188-88369, Iran
| | - A. Asfaram
- Department of Chemistry
- Yasouj University
- Yasouj 75918-74831, Iran
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Ghaedi M, Ghaedi AM, Ansari A, Mohammadi F, Vafaei A. Artificial neural network and particle swarm optimization for removal of methyl orange by gold nanoparticles loaded on activated carbon and Tamarisk. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2014; 132:639-654. [PMID: 24892545 DOI: 10.1016/j.saa.2014.04.175] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2014] [Revised: 04/20/2014] [Accepted: 04/23/2014] [Indexed: 06/03/2023]
Abstract
The influence of variables, namely initial dye concentration, adsorbent dosage (g), stirrer speed (rpm) and contact time (min) on the removal of methyl orange (MO) by gold nanoparticles loaded on activated carbon (Au-NP-AC) and Tamarisk were investigated using multiple linear regression (MLR) and artificial neural network (ANN) and the variables were optimized by partial swarm optimization (PSO). Comparison of the results achieved using proposed models, showed the ANN model was better than the MLR model for prediction of methyl orange removal using Au-NP-AC and Tamarisk. Using the optimal ANN model the coefficient of determination (R2) for the test data set were 0.958 and 0.989; mean squared error (MSE) values were 0.00082 and 0.0006 for Au-NP-AC and Tamarisk adsorbent, respectively. In this study a novel and green approach were reported for the synthesis of gold nanoparticle and activated carbon by Tamarisk. This material was characterized using different techniques such as SEM, TEM, XRD and BET. The usability of Au-NP-AC and activated carbon (AC) Tamarisk for the methyl orange from aqueous solutions was investigated. The effect of variables such as pH, initial dye concentration, adsorbent dosage (g) and contact time (min) on methyl orange removal were studied. Fitting the experimental equilibrium data to various isotherm models such as Langmuir, Freundlich, Tempkin and Dubinin-Radushkevich models show the suitability and applicability of the Langmuir model. Kinetic models such as pseudo-first order, pseudo-second order, Elovich and intraparticle diffusion models indicate that the second-order equation and intraparticle diffusion models control the kinetic of the adsorption process. The small amount of proposed Au-NP-AC and activated carbon (0.015 g and 0.75 g) is applicable for successful removal of methyl orange (>98%) in short time (20 min for Au-NP-AC and 45 min for Tamarisk-AC) with high adsorption capacity 161 mg g(-1) for Au-NP-AC and 3.84 mg g(-1) for Tamarisk-AC.
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Affiliation(s)
- M Ghaedi
- Department of Chemistry, Yasouj University, Yasouj 75918-74831, Iran.
| | - A M Ghaedi
- Department of Chemistry, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran, Iran.
| | - A Ansari
- Department of Chemistry, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran, Iran
| | - F Mohammadi
- Department of Chemistry, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran, Iran
| | - A Vafaei
- Department of Chemistry, Gachsaran Branch, Islamic Azad University, P.O. Box 75818-63876, Gachsaran, Iran
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