Artificial neural network – Imperialist competitive algorithm based optimization for removal of sunset yellow using Zn(OH)2 nanoparticles-activated carbon

M. Ghaedi,A.M. Ghaedi,E. Negintaji,A. Ansari,F. Mohammadi 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.6

The effects of variables were modeled using multiple linear regressions (MLR) and artificial neuralnetwork (ANN) and the variables were optimized by imperialist competitive algorithm (ICA). Comparison of the results obtained using introduced models indicated the ANN model is better thanthe MLR model for the prediction of sunset yellow removal using zinc oxide nanoparticles-activatedcarbon. The coefficient of determination (R2) and mean squared error (MSE) for the optimal ANN modelwith 9 neurons at hidden layer were obtained to be 0.9782 and 0.0013, respectively. A nano-scaleadsorbents namely as Zn(OH)2 was synthesized and subsequently loaded with AC. Then, this newmaterial efficiently applied for sunset yellow (SY) removal, from aqueous solutions in batch process. Firstly the adsorbent were characterized and identified by XRD, FESEM and BET. Unique properties suchas high surface area (>1308 m2/g) and low pore size (<20A˚ ) and average particle size lower than 45.8A˚in addition to intrinsic properties of nano-scale material high surface reactive atom and the presence ofvarious functional groupsmake it possible for efficient removal of (SY). The effects of adsorbent dose, pH,initial SY concentration and contact time were optimized. Fitting the experimental data of adsorptionover time in the range of 30 min to various models show the suitability of second-order and intraparticlediffusion models for the prediction of removal rate and their parameters (R2 > 0.999). The factorscontrolling adsorption process were also calculated and discussed. Equilibrium data fitted well with theLangmuir model at all amount of adsorbent with maximum adsorption capacity of 158.7 mg g-1.

Removal of malachite green from aqueous solution by zinc oxide nanoparticle loaded on activated carbon: Kinetics and isotherm study

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.

Application of high order derivative spectrophotometry to resolve the spectra overlap between BG and MB for the simultaneous determination of them: Ruthenium nanoparticle loaded activated carbon as adsorbent

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.

Least square-support vector (LS-SVM) method for modeling of methylene blue dye adsorption using copper oxide loaded on activated carbon: Kinetic and isotherm study

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.

Comparison of novel sorbents for preconcentration of metal ions prior to their flame atomic absorption spectrometry determination

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%.

Principal component analysis-artificial neural network and genetic algorithm optimization for removal of reactive orange 12 by copper sulfide nanoparticles-activated carbon

M. Ghaedi,A.M. Ghaedi,F. Abdi,M. Roosta,R. Sahraei,A. Daneshfar 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.3

In this study a green approach described for the synthesis of copper sulfide nanoparticles loaded onactivated carbon (CuS-NP-AC) and usability of it for the removal of reactive orange 12 (RO-12). Thismaterial was characterized using instruments such as scanning electron microscopy (SEM) and X-raydiffraction (XRD). The effects of variables were optimized using Principal component analysis-artificialneural network (PCA-ANN). Fitting the experimental equilibrium data shows the suitability of theLangmuir isotherm. The small amount of proposed adsorbent (0.017 g) is applicable for successfulremoval of RO-12 (RE > 95%) in short time (31.09 min) with high adsorption capacity (96.9 mg g-1)

Rosmarinus officinalis leaf extract mediated green synthesis of silver nanoparticles and investigation of its antimicrobial properties

M. Ghaedi,M. Yousefinejad,M. Safarpoor,H. Zare Khafri,M.K. Purkait 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.31 No.-

Green synthesis of metallic nanoparticles (NPs) has been reported using plant extracts, which has dualproperties of stabilizing and emulsifying agents. Development of biologically inspired synthesis ofnanoparticles has evolved as an important branch in nanotechnology. In this work, silver nanoparticles(Ag-NPs) were synthesized at room temperature using rosemary (Rosmarinus officinalis Linn.) leafextract. Formation of green Ag-NPs was confirmed by some thoughtful techniques like as UV-visible, FTIR,SEM & TEM, and XRD. Polyphenols in R. officinalis leaf extract acts as reducing and stabilizing agentsfor the formation of size controlled Ag-NPs and after 30 min nucleation started to proceed. Surfaceplasmon resonance (SPR) confirmed the formation of Ag-NPs with maximum absorbance at lmax of450 nm. The Fourier transform infrared spectroscopy (FT-IR) spectra of leaf extract shows the presence ofphenolic functional groups which reduces silver ion to Ag-NPs. Scanning electron microscopy (SEM) andtransmission electron microscopy (TEM) show the spherical morphology of Ag-NPs with the size range of10–33 nm. X-ray diffraction (XRD) spectra show four prominent peaks of the crystalline metallic Ag-NPs. At last antimicrobial activities of green NPs were examined and results showed that Green synthesizedAg-NPs had effective antibacterial and antifungal activities. By these deals, green synthesis of NPs as aneco-friendly and inexpensive method in large scale for medicinal and industrial application severelyrecommended.

Acceleration of methylene blue adsorption onto activated carbon prepared from dross licorice by ultrasonic: Equilibrium, kinetic and thermodynamic studies

M. Ghaedi,M. Danaei Ghazanfarkhani,S. Khodadoust,N. Sohrabi,M. Oftade 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.4

Adsorption of methylene blue (MB) onto activated carbon (AC) prepared from dross licorice as adsorbent was studied following full AC characterization by FT-IR spectroscopy, scanning electron microscopy and BET (Brunauer, Emmett, and Teller). The effects of variables were studied and optimized by a central composite design (CCD) combined with response surface methodology (RSM) and desirability function (DF). The good agreement between experimental and predicted data at optimum values of all variables was explored. The optimum condition set as follow: 20 mg L-1 of MB concentration, pH 7 for sample solution, 0.20 g of AC and 16 min sonication as mass transfer process. The small amount of proposed adsorbent (0.2 g) was applicable for removal of MB (RE > 95%) at 16 min with high adsorption capacity (82.9 mg g-1).

Comparison of removal of bromothymol blue from aqueous solution by multiwalled carbon nanotube and Zn(OH)2 nanoparticles loaded on activated carbon: A thermodynamic study

M. Ghaedi,N. Taghavimoghadam,S. Naderi,R. Sahraei,A. Daneshfar 한국공업화학회 2013 Journal of Industrial and Engineering Chemistry Vol.19 No.5

In this research Zn(OH)2 nanoparticles loaded on activated carbon (Zn(OH)2-NPs-AC) as novel adsorbent and raw multiwalled carbon nanotube (MWCNT) were applied for efficient removal of bromothymol blue (BTB). Both adsorbent has been characterized with different techniques such and SEM, XRD and UV–vis spectrometry. Their size was less than 100 nm. In the removal process the variables are pH,temperature, concentration of BTB, amount of adsorbent and contact time that their influence on removal of BTB was optimized using one at a time approach in batch procedure. Adsorptions of BTB on bath adsorbent depend highly on pH. Following the investigation of temperature effect, the thermodynamic parameters including change in entropy, enthalpy and free Gibbs energy were calculated. For both adsorbents, positive value of enthalpy and negative value of DG0 show routine feasibility of adsorption using energy. At optimum value of variables, the removal processes onto both adsorbent have high adsorption capacity for best fitting model Langmuir, i.e. for Zn(OH)2-NP-AC and 150 mg/g for PAC. The adsorption rates were well explained with pseudo second order and interparticle diffusion model. It is expected that there could an increase in the number of reactive sites due to their expected high volume, pore size and high surface area.

Ionic liquid based periodic mesoporous organosilica: An efficient support for removal of sunset yellow from aqueous solutions under ultrasonic conditions

M. Ghaedi,D. Elhamifar,M. Roosta,R. Moshkelgosha 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.4

The efficiency of an ionic liquid based periodic mesoporous organosilica (PMO-IL) in the removal of sunset yellow from aqueous solutions using ultrasonic assisted adsorption method was investigated. The PMO-IL was first characterized by nitrogen sorption and TEM techniques. The optimized conditions (0.013 g of adsorbent, 32 mg L 1 of sunset yellow at 2 min of sonication time and pH 7) were obtained by central composite design (CCD). Fitting the equilibrium data show the suitability of the Langmuir model with second-order equation to control the kinetic of the adsorption process and good reusability (5 cycles) of PMO-IL for adsorption of dye.