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M. Ghaedi,A. Ansari,M. H. Habibi,A.R. Asghari 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.1
In this research, a novel adsorbent, zinc oxide nanoparticle loaded on activated carbon (ZnO-NP-AC) wassynthesized by a simple, low cost and efficient procedure. Subsequently, this novel material wascharacterizated and identified by different techniques such as Brunauer, Emmett and Teller (BET),scanning electron microscopy (SEM), X-ray diffraction (XRD) and Fourier transform infraredspectroscopy (FT-IR) analysis. Unique properties such as high surface area (>603 m2/g) and low poresize (<61 A˚ ) and average particle size lower than 100 A˚ in addition to high reactive atom and presence ofvarious functional groups make it possible for efficient removal of malachite green (MG). In batchexperimental set-up, optimum conditions for quantitative removal of MG by ZnO-NP-AC was attainedfollowing searching effect of variables such as adsorbent dosage, initial dye concentration and pH. Optimum values were set as pH of 7.0, 0.015 g of ZnO-NP-AC at removal time of 15 min. Kinetic studies atvarious adsorbent dosage and initial MG concentration show that maximum MG removal was achievedwithin 15 min of the start of every experiment at most conditions. The adsorption of MG follows thepseudo-second-order rate equation in addition to interparticle diffusion model (with removal more than95%) at all conditions. Equilibrium data fitted well with the Langmuir model at all amount of adsorbent,while maximum adsorption capacity was 322.58 mg g-1 for 0.005 g of ZnO-NP-AC.
H. Zangeneh,A.A.L. Zinatizadeh,M. Habibi,M. Akia,M. Hasnain Isa 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.26 No.-
This article compares the effectiveness of pure and modified TiO2 for photocatalytic degradation of different organic matters and clarifies the advantages of the modified TiO2 with photoactivity under visible light. Photocatalytic degradation technique with titanium dioxide is generally applied for treating wastewater containing refractory organic contaminants with the purpose of reuse due to its ability to achieve complete mineralization of the compounds under mild conditions such as ambient temperature and pressure. Performance of different types of photocatalytic reactors, effects of important parameters on the reactors performance, effect of various methods used to enhance the photocatalytic activity of TiO2 including doping, sensitization of TiO2 and surface modification are discussed in details. So far, a few review papers have been published and extensive information have been reported on the structure and electronic properties of TiO2, difference between TiO2 with other common semiconductors used for photocatalytic applications, various methods used to enhance the photocatalytic characteristics of TiO2 including dye sensitization, doping, coupling, the effects of various operating parameters on the photocatalytic degradation of phenols and dyes and types of reactors, comparison between effective modes of TiO2 application as immobilized on surface or as suspension, and photocatalytic hybrid membrane system are presented. However, in the published review papers, performance of the different modified photocatalysts is rarely compared quantitatively. Therefore, in order to provide an inclusive and effective comparison among the studies, specific removal rate (SRR) (mg compoundremoved/g cat. h) was calculated as a response.
M. Ghaedi,A.M. Ghaedi,M. Hossainpour,A. Ansari,M. H. Habibi,A.R. Asghari 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.4
A multiple linear regression (MLR) model and least square support vector regression (LS-SVM) model with principal component analysis (PCA) was used for preprocessing to predict the efficiency of methylene blue adsorption onto copper oxide nanoparticle loaded on activated carbon (CuO-NP-AC) based on experimental data set achieved in batch study. The PCA-LSSVM model indicated higher predictive capability than linear method with coefficient of determination (R2) of 0.97 and 0.92 for the training and testing data set, respectively. Firstly, the novel nanoparticles including copper oxide as low cost, non-toxic, safe and reusable adsorbent was synthesized in our laboratory with a simple and routine procedure. Subsequently, this new material properties such as surface functional group, homogeneity and pore size distribution was identified by FT-IR, SEM and BET analysis. The methylene blue (MB) removal and adsorption onto the CuO-NP-AC was investigated and the influence of variables such as initial pH and MB concentration, contact time, amount of adsorbent and pH, and temperature was investigated. The results of examination of the time on experimental adsorption data and fitting the data to conventional kinetic model show the suitability of pseudo-second order and intraparticle diffusion model. Evaluation of the experimental equilibrium data by Langmuir, Tempkin, Freundlich and Dubinin Radushkevich (D-R) isotherm explore that Langmuir is superior to other model for fitting the experimental data in term of higher correlation coefficient and lower error analysis.
M. Giahi,N. Badalpoor,S. Habibi,H. Taghavi 대한화학회 2013 Bulletin of the Korean Chemical Society Vol.34 No.7
A novel sol-gel method was implied to prepare CuO-doped ZnO nanoparticles. XRD and SEM techniques were used to characterize the CuO-doped ZnO sample. The photocatalytic degradation of Lidocaine HCl was investigated by two methods. The degradation was studied under different conditions such as the amount of photocatalyst, pH of the system, initial concentration, presence of electron acceptor, and presence of anions. The results showed that they strongly affected the photocatalytic degradation of Lidocaine HCl. The photodegradation efficiency of drug increased with the increase of the irradiation time. After 6 h irradiation with 400-W mercury lamp, about 93% removal of Lidocaine HCl was achieved. The degree of photodegradation obtained by Taguchi method compatible with the trial-and-error method showed reliable results.
Giahi, M.,Badalpoor, N.,Habibi, S.,Taghavi, H. Korean Chemical Society 2013 Bulletin of the Korean Chemical Society Vol.34 No.7
A novel sol-gel method was implied to prepare CuO-doped ZnO nanoparticles. XRD and SEM techniques were used to characterize the CuO-doped ZnO sample. The photocatalytic degradation of Lidocaine HCl was investigated by two methods. The degradation was studied under different conditions such as the amount of photocatalyst, pH of the system, initial concentration, presence of electron acceptor, and presence of anions. The results showed that they strongly affected the photocatalytic degradation of Lidocaine HCl. The photodegradation efficiency of drug increased with the increase of the irradiation time. After 6 h irradiation with 400-W mercury lamp, about 93% removal of Lidocaine HCl was achieved. The degree of photodegradation obtained by Taguchi method compatible with the trial-and-error method showed reliable results.
P. Assefi,M. Ghaedi,A. Ansari,M.H. Habibi,M.S. Momeni 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.5
The present research is focused on the synthesis and characterization of cobalt (III) oxide (Co2O3) nanoparticle loaded on activated carbon to prepare an outstanding sorbent for the removal of eosin Y (EY) as hazardous dye from aqueous solution. The sorbent was identified by SEM and XRD analysis. The effect of solution pH, adsorbent dosage (0.005–0.02 g), contact time (0.5–30 min) and initial eosin Y concentration (30–80 mg L-1) on the adsorption process was investigated and modeled by artificial neural network. Following optimization of variables, the experimental equilibrium data was analysis by Langmuir, Freundlich, Tempkin and D–R isothermal models and explored that the data well presented by Langmuir model with a maximum adsorption capacity of 555.56 mg g-1 at 25 ℃. Kinetic studies at various adsorbent dosage and initial EY concentrations show that high removal percentage (>90%) was achieved within 15 min of the start of every experiment at most conditions. The adsorption of EY follows the pseudo-second-order rate equation in addition to intraparticle diffusion model. The experimental data were applied to train the multilayer feed forward neural network with three inputs and one output with different algorithms and different numbers of neurons in the hidden layer. The minimum mean squared error (MSE) of 1.49e 04 and determination coefficient of (R2) 0.9991.