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RISS 인기검색어
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- 저자 : Shaaker Hajati (검색결과 4 건)
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Shaaker Hajati,Mehrorang Ghaedi,Farahnaz Karimi,Behnaz Barazesh,Reza Sahraei,Ali Daneshfar 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.2
A novel adsorbent (ZnS:Mn nanoparticles loaded on activated carbon) was made. The competitiveadsorption of Direct Yellow 12 (DY12) and Reactive Orange 12 (RO12) dyes in binary mixture onto thisadsorbent was studied. DY12 and RO12 with severe spectra overlapping were chosen and analyzedsimultaneously with high accuracy by first order derivative spectrophotometric method in binarysolutions. The effect of multi-solute systems on the adsorption capacity was investigated. Because of thespecific characteristics of ZnS:Mn-NP-AC was found to be efficient for the removal of the dyes studied. The adsorption capacities were investigated and described by the mono- and multi-componentLangmuir and Freundlich isotherm models for both single and binary dye solutions. The isothermconstants for DY12 and RO12 were calculated. For single solution of DY12 and RO12 dyes, the adsorptioncapacities of the applied adsorbent were found to be 90.05 mg/g and 94.52 mg/g, respectively. Equilibrium uptake amounts of DY12 and RO12 in binary solution onto the applied adsorbent werefound to be considerably decreasing with increasing the concentrations of the other dye. A betteragreement between the adsorption equilibrium data and mono-component Langmuir isotherm modelwas found. However, at concentrations within moderate ranges, the extended Freundlich isothermmodel satisfactorily predicted multi-component adsorption equilibrium data. An endothermic and aspontaneous nature for the adsorption of the dyes studied were shown from thermodynamicparameters.
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Equilibrium, kinetic and isotherm of some metal ion biosorption
Mehrorang Ghaedi,Shaaker Hajati,Farahnaz Karimi,Behnaz Barazesh,Gholamreza Ghezelbash 한국공업화학회 2013 Journal of Industrial and Engineering Chemistry Vol.19 No.3
Trichoderma reesei was used as a biosorbent for the removal of Co2+, Cu2+, Ni2+, Pb2+ and Zn2+ ions. The influence of factors such as pH, mass of biomass, contact time and temperature on biosorption efficiency was optimized. To calculate the isotherm parameters for the biosorption of Co2+, Cu2+, Ni2+, Pb2+ and Zn2+ions at optimized conditions, the experimental equilibrium data were fitted to Langmuir and Freundlich models. The calculated thermodynamic parameters, DG8, DH8 and DS8 showed that the biosorption of Co2+, Cu2+, Ni2+, Pb2+ and Zn2+ ions onto T. reesei biomass was feasible, spontaneous and endothermic at the optimized conditions. The results of kinetic analysis showed that the biosorption of the selected metal ions onto T. reesei biomass obeys pseudo second order kinetics.
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Mehrorang Ghaedi,Shaaker Hajati,Behnaz Barazesh,Farahnaz Karimi,Gholamreza Ghezelbash 한국공업화학회 2013 Journal of Industrial and Engineering Chemistry Vol.19 No.1
In this work, biosorption of Brilliant green (BG) and Methylene blue (MB) dyes in binary mixture onto Saccharomyces cerevisiae were studied. pH at which the biosorption capacity of biomass is maximum was found to be 6 which is close to the pH of natural aqueous solutions. This is a big advantage of S. cerevisiae which makes it applicable for the technology of dye removal from natural aqueous dye solutions. Note that the time for the applied biosorption process for the dye removal is considerably short (about 5 min)which is a big improvement for the adsorption processes. This proves that the S. cerevisiae is a promising adsorbent. The BG and MB dyes were simultaneously analyzed using the fifth and fourth order derivative spectrophotometric method, respectively. Several isotherm models were applied to experimental data and the isotherm constants were calculated for BG and MB dyes. Among the applied models, Freundlich isotherm model showed best fit to the biosorption equilibrium data.
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Arash Asfaram,Mehrorang Ghaedi,Mohammad Hossein Ahmadi Azqhandi,Alireza Goudarzi,Shaaker Hajati 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.54 No.-
Response surface methodology (RSM), Artificial Neural Network (ANN) and Radial Basis Function Neural Network (RBFNN) were applied to model and predict the efficiency of two carcinogenic dyes (Methylene blue (MB) and Malachite green (MG)) adsorption onto Mn@ CuS/ZnS nanocomposite-loaded activated carbon (Mn@ CuS/ZnS-NC-AC) as a novel adsorbent. The properties of Mn@ CuS/ZnS-NC-AC were identified by XRD; FE-SEM and EDS. The parameters such as pH, Mn@ CuS/ZnS-NC-AC mass, sonication time, MB concentration and MG concentration involved in the adsorption process were set within the ranges 4.0–8.0, 0.010–0.030 g, 1–5 min, 5–25 mg L1 and 5–25 mg L1, respectively. The applicability of the RBFNN, ANN and RSM models for the description of experimental data was examined using four statistical criteria (coefficient of determination (R2), root mean square error (RMSE), mean absolute error (MAE) and absolute average deviation (AAD)). Compared to RSM, the RBFNN and ANN exhibited better performance for modeling the process of both dyes adsorption. The significant factors were evaluated followed by the optimization of the process. The adsorption of MB and MG was found to be mostly affected by the concentration of MB and MG dyes. The equilibrium adsorption data were analyzed by Langmuir, Freundlich, Temkin and Dubinin–Radushkevich isotherm models. The best fit to the data was obtained by applying the Langmuir model. Meanwhile, the maximum adsorption capacity for MB and MG was estimated to be 126.42 and 115.08 mg g1, respectively.
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