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.

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)

Random forest model for removal of bromophenol blue using activated carbon obtained from Astragalus bisulcatus tree

M. Ghaedi,A.M. Ghaedi,E. Negintaji,A. Ansari,A. Vafaei,M. Rajabi 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.4

In this research, activated carbon (AC) simply was prepared from a local, abundant tree in south of Iran. The AC with low cost and toxicity is a good candidate for bromophenol blue (BPB) removal from aqueous media. The AC with nano scale pore diameter is applicable for this dye removal following optimization of the influence of various parameters including contact time, pH, initial dye concentration and amount of adsorbent. Subsequently, experimental data was analyzed by four kinetic models including pseudo first and second-order, Elovich and the intraparticle diffusion equations and subsequently their respective parameters such as rate constants, equilibrium adsorption capacities and correlation coefficients was investigated and based on well known criterion their applicability was judged. The result shows that adsorption of BPB onto proposed adsorbent at all conditions such as versatile adsorbent dosages and initial BPB concentrations sufficiently described by the combination of the pseudo second-order equation and interparticle diffusion model. It was found that equilibrium rate of the BPB adsorption at various adsorbent dosage well fitted by Langmuir. Investigation of experimental result by two approaches (multiple linear regressions (MLR) and random forest (RF)) models show that RF is a powerful tool for prediction of BPB adsorption by activated carbon obtained from Astragalus bisulcatus tree. The optimal tuning parameters for RF model are obtained based on the ntree = 100, mtry = 2. For the training data set, the MSE values of 0.0006 and the coefficient of determination (R2) values of 0.9895 for RF model and the MSE value of 0.0104 and the R2 value of 0.823 for MLR model are obtained.

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.

Preconcentration and Extraction of Copper on Activated Carbon Using 4-Amino-2, 3-dimethyl-1-phenyl-3-pyrazoline or 4-(4-methoxybenzylidenimin) thiophenole

Ghaedi, Mehrorang,Ahmadi, Farshid,Karimi, Hajir,Gharaghani, Shiva Korean Chemical Society 2006 대한화학회지 Vol.50 No.1

원자흡수분광법을 사용하여 실제 시료 중의 구리를 예비 농축하고 정량하는데 활성탄 변형법을 사용하였다. 구리 이온을 4-amino-2,3-dimethyl-1-phenyl-3-pyrazoline(ADMPP) 또는 4-(4-methoxybenzylidenimin)thiophenole (MBITP)과 착물을 형성시켜 활성탄에 정량적으로 흡착시키고, 고체상에 흡착된 구리를 소량의 질산을 사용하여 정량적으로 용리시켰다. 최대 회수율을 얻는데 있어서 중요한 pH, 운반체의 양, 흐름속도, 활성탄의 양, 용리제의 종류 및 농도와 같은 파라미터의 영향을 조사하였다. 최적 조건에서 ADMPP와 MBITP를 사용하는 이 방법은 0.05-1.5g mL1 and 0.05-1.2g mL1의 구리 농도 범위에서 각각 상관계수 0.9997 및 0.9994의 선형성을 보이며 검출한계는 1.4 ng mL1 였다. 예비 농축의 농축인자는 310에 이르며 돌파부피는 두 리간드에서 모두 1550 mL였다. 이 방법은 방해 이온에 대한 공차한계와 선택성이 좋아서 수돗물, 샘물, 강물 및 폐수와 같은 실제 시료 중의 구리 함량을 정량하는 데 성공적으로 사용되었다. carbon modified methods were used for the preconcentration and determination of copper in some real samples using the flame atomic absorption spectrometry. The copper ions was adsorbed quantitatively on the activated carbon due to their complexation with 4- amino-2, 3-dimethyl-1-phenyl-3-pyrazoline (ADMPP) or 4-(4- methoxybenzylidenimin) thiophenole (MBITP). The adsorbed copper on solid phase was eluted quantitatively using small amount of nitric acid. The influence of important parameters including pH, amount of carrier, flow rate, amount of activated carbon and type and concentration of eluting agent for obtaining maximum recovery were investigated. The methods based on ADMPP and MBITP at optimum conditions is linear over concentration range of 0.05-1.5 g mL-1 and 0.05-1.2 g mL-1 of copper with correlation coefficient of 0.9997 and 0.9994 and both detection limit of 1.4 ng mL-1, respectively. The preconcentration leads to enrichment factor of 310 and break through volume of 1550 mL for both ligands. The method has a good tolerance limit of interfering ion and a selectivity that has been successfully applied for the determination of copper content in real sample such as tap, spring, river and waste water.

Effect of critical temperatures on mortality and cuticle composition of Plodia interpunctella larvae: Insights from GC–MS analysis and SEM imaging

Ghaedi Fatemeh,Abbasipour Habib,Karimi Jaber 한국응용곤충학회 2024 Journal of Asia-Pacific Entomology Vol.27 No.3

The Indian meal moth, Plodia interpunctella Hübner (Lep.: Pyralidae), is a significant global pest of stored products, particularly in temperate regions. This study investigated the impact of various temperatures (25, 50, 55, and 60 ◦ C) over different durations (5, 10, 15 and 20 min) on the mortality and cuticle layer of third instar P. interpunctella larvae. Hexane solvent separated the cuticle layer of 3rd instar larvae treated at critical temperatures; Bis (trimethylsilyl) acetamide and Trimethylsilyl chloride were added for derivatization before injection into the GC–MS. Additionally, SEM imaging was used to observe the epicuticle surface of treated larvae under critical temperatures. The findings showed a direct relationship between increasing temperatures and the mortality rate of 3rd instar larvae, with complete mortality occurring in 20 min at 50 ◦ C, in 15 min at 55 ◦ C, and in just 10 min at 60 ◦ C. Moreover, with an increase in temperature and exposure time, the weight of the larvae decreased significantly. GC–MS analysis unveiled that the waxy layer contained sixteen fatty acids within P. interpunctella cuticles; it was observed that as temperatures increased, there was a significant reduction in fatty acid levels. SEM imaging also revealed that rising temperatures led to a dramatic decrease in cohesion within the epicuticle layer; altering its physical and chemical structure caused dehydration, ultimately leading to death. These results suggest that utilizing critical temperatures for short durations can effectively control P. interpunctella populations.

Study of competitive adsorption of malachite green and sunset yellow dyes on cadmium hydroxide nanowires loaded on activated carbon

Mehrorang Ghaedi,Narges Mosallanejad 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.3

Cadmium hydroxide nanowires loaded on activated carbon (Cd(OH)2-NW-AC) was applied for removalof malachite green (MG) and sunset yellow (SY) in single and binary component systems. This novelmaterial was characterized and identified by different techniques such as Brunauer, Emmett and Teller(BET), scanning electron microscopy (SEM), X-ray diffraction (XRD) analysis. Unique properties such ashigh surface area (>1271 m2 g-1) and low pore size (<35 A˚ ) and average particle size lower than 50 A˚ inaddition to high reactive atom and presence of various functional groups make it possible for efficientremoval of these two dyes. In the single component system in this study, maximum adsorption capacityof 80.6 for SY and 19.0 mg g-1 for MG at 25 ℃ was reported. The Langmuir model had very well fit withthe experimental data (R2 > 0.996). A better agreement between the adsorption equilibrium data andmono-component Langmuir isotherm model was found. The kinetics of adsorption for single and binarymixture solutions at different initial dye concentrations were evaluated by the nonlinear first-order andsecond-order models. The second-order kinetic model had very well fit with the dynamical adsorptionbehavior of a single dye for lower and higher initial dye concentrations. SY and MG without spectraoverlapping were chosen and analyzed with high accuracy in binary solutions. The effect of multi-solutesystems on the adsorption capacity was investigated. The isotherm constants for SY and MG were alsocalculated in binary component systems at concentrations within moderate ranges, the Langmuirisotherm model satisfactorily predicted multi-component adsorption equilibrium data. The competitiveadsorption favored the SY in the A mixture solution (both SY and MG concentration at 10 mg L-1) and Bmixture solution (25 mg L-1 of SY and 10 mg L-1 of MG). Also, in both cases, kinetic data was fairlydescribed by two-step diffusion model. An endothermic and spontaneous nature for the adsorption ofthe dyes studied were shown from thermodynamic parameters in single and binary component systems.

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.

Saccharomyces cerevisiae for the biosorption of basic dyes from binary component systems and the high order derivative spectrophotometric method for simultaneous analysis of Brilliant green and Methylene blue

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.

Antibacterial and antifungal activity of flower extracts of Urtica dioica, Chamaemelum nobile and Salvia officinalis: Effects of Zn[OH]2 nanoparticles and Hp-2-minh on their property

M. Ghaedi,R. Naghiha,R. Jannesar,N. dehghanian,B. Mirtamizdoust,V. pezeshkpour 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.32 No.-

The aim of this study was assess the new safe drugs with high efficacy that prepared with available plantand nano particles. In the present study, the microbial activity of Zn[OH]2 nanoparticles and Hp-2-minhas sole or combination of extracts of Utica dioica Chamaemelum nobile and Salvia officinalis. Theantimicrobial activity determined using agar disc diffusion method. The antibacterial and antifungalactivities of U. dioica, C. Nobile and S. officinalis extracts [25,50, 100 mg/mL] were tested againstStaphylococcus aureus, Bacillus subtilis, Escherichia coli, Pseudomonas aeroginosa, and fungal strains wereAspergillus oryzae, Candida albicans. It was revealed that extracts antibacterial potential significantlydepend on their dosage and their influence related to the presence of various secondary metabolites.