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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.
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. Roosta,M. Ghaedi,A. Daneshfar,R. Sahraei,A. Asghari 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.21 No.1
A novel ultrasound assisted adsorption protocol for the removal of erythrosine from aqueous solution bytin sulfide nanoparticle loaded on activated carbon (SnS-NP-AC) has been described. The main andinteraction of variables (pH, sonication time, adsorbent dosage and initial dyes concentrations) on theremoval of erythrosine were studied and optimized by a central composite design (CCD) combined withresponse surface methodology (RSM). The small amount of proposed adsorbent (0.02 g) is applicable forremoval of high content of erythrosine with high removal percentage (>98%) in short time (4.5 min). Application of ultrasound led to remarkable decrease in adsorption time.
CO2/CH4 separation through a novel commercializable three-phase PEBA/PEG/NaX nanocomposite membrane
A. Mahmoudi,M. Asghari,V. Zargar 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.23 No.-
Three-phase polymer/liquid/solid (PEBA/PEG/nanozeolite X) mixed matrix membranes were synthe- sized. Effects of PEG and/or nanoparticle on CO2 and CH4 permeabilities and CO2/CH4 selectivity of the membranes were investigated. The synthesized membranes were characterized using AFM and SEM. CO2 Permeability and selectivity in the membranes increased with feed pressure and PEG loading. The PEBA membrane with loadings of 30% PEG and 10% nanozeolite showed the best performance; its CO2 permeability and CO2/CH4 selectivity at 8 bar were 95 Barrer and 45, respectively. Based on Robeson’s upper bound, both the three-phase membranes of this work would be proper for being commercialized.
S. Hajati,M. Ghaedi,B. Barazesh,F. Karimi,R. Sahraei,A. Daneshfar,A. Asghari 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.4
Because of technological importance of simultaneous analysis and removal of dyes in their mixtures, we studied the competitive adsorption of brilliant green (BG) and methylene blue (MB) dyes onto Ruthenium nanoparticles on activated carbon (Ru/C). Due to overlap between the spectra of the dyes, it was needed to apply a suitable method to resolve this overlap. Recently, first derivative method was successfully used to study binary solutions. However, it was failed to apply for the binary solution of BG and MB. Therefore, we successfully applied high order derivative spectrophotometry for resolving the spectra overlap between BG and MB and for the simultaneous determination of them in their mixture. The presence of multi-solute pollutants in most industrial wastewater necessitates investigating the effect of multi-solute systems on adsorption capacity. The optimal pH at which the adsorption capacity is maximum, was found to be close to the pH of natural aqueous solutions that is an advantage. A low dosage (0.015 g) of the prepared carbon-supported Ru nanoparticles (Ru/C) with high surface area (1266 m2/g according BET) was efficiently used for the dyes removal at pH 6.0 (close to the pH of natural aqueous solutions) and at room temperature that is an advantage of Ru/C. Isotherm constants were obtained for BG and MB after modeling experimental data by using different isotherms. A better consistency to Freundlich isotherm model was found. Thermodynamic parameters showed an endothermic and a spontaneous nature for the adsorption of the dyes.
M. Ghaedi,P. Mokhtari,M. Montazerozohori,A. Asghari,M. Soylak 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.2
Multiwalled carbon nanotube impregnated by bis(5-bromosalicylidene)-1,3-propandiamine (BBSPN)was synthesized and applied as adsorbent for the enrichment of trace amount of Pb2+ ion subsequenttheir determination by flame atomic absorption spectroscopy (FAAS). The influences of the analyticalparameters including pH, amount of ligand and adsorbent, type and condition of eluent and samplevolume on the Pb2+ ion recoveries were investigated. The optimum pH value for the separation of Pb2+ion on the new sorbent was 6 and the adsorbed Pb2+ ion could be completely eluted by using 5.0 mL of2.0 mol L-1 HNO3 solutions with 0.015 g of ligand and 0.100 g of adsorbent. Common coexisting ions didnot interfere with the separation and determination of target metal ions. The method has high sorption–preconcentration efficiency with relative standard deviation less than 4.0%, especially for leaddetermination in radish, vegetable, potato, tomato and cheeps.
M. Ghaedi,M. Montazerozohori,M. Sajedi,M. Roosta,M. Nickoosiar Jahromi,A. Asghari 한국공업화학회 2013 Journal of Industrial and Engineering Chemistry Vol.19 No.6
In the present study, the efficiency and usability of two sorbents including silver nanoparticles loaded on activated carbon and homemade activated carbon for removal and recoveries of heavy metal ions by solid-phase extractant were investigated. These materials characterization was carried out using different techniques such as SEM, XRD, BET and UV–vis. The analytes such as Zn2+, Cu2+ and Pb2+ ions was enriched onto sorbent and subsequent eluted and determined by flame atomic absorption spectroscopy. The influences of the analytical parameters including pH, type and condition of eluent, adsorption capacities and amount of adsorbent, condition of eluent and sample volume on the metal ions recoveries were optimized. The optimum pH value for the separation of metal ions on these new sorbents was 4. The adsorbed metal ions could be completely eluted by using 10.0 mL 4.0 mol L1 HNO3 solution. The loading of 30 mg of ligand onto 0.6 and 0.1 g of AC and Ag-NP-AC, respectively, make possible quantitative sorption of analytes. The accurate and easy determination of analytes in the presence of high limit of matrices constituent is possible without generation of significant problems. The applicability and accuracy of method were tested by its application for analytes quantification in complicated matrices with recoveries more than 91% and relative standard deviation lower than 5%.