Safarpoor, M.; Ghaedi, M.; Asfaram, A.; Yousefi, M.; Javadian, H.; Zare, H. Ultrasonics sonochemistry Vol. 42, p. 76-83 DOI: 10.1016/j.ultsonch.2017.11.001 Data de publicació: 2018-04-01 Article en revista
Hosseini Asl, S.; Ghadi, A.; Sharifzadeh Baei, M.; Javadian, H.; Maghsudi, M.; Kazemian, H. Fuel (Guildford) Vol. 217, p. 320-342 DOI: 10.1016/j.fuel.2017.12.111 Data de publicació: 2018-04-01 Article en revista
Bahrani, S.; Ghaedi, M.; Ostovan, A.; Javadian, H.; Khoshnood Mansoorkhani, M.; Taghipour, T. Journal of pharmaceutical and biomedical analysis Vol. 149, p. 166-171 DOI: 10.1016/j.jpba.2017.10.040 Data de publicació: 2018-02-05 Article en revista
In this research, a facile and selective method was described to extract L-cysteine (L-Cys), an essential a-amino acid for anti-ageing playing an important role in human health, from human blood plasma sample. The importance of this research was the mild and time-consuming synthesis of zinc organic polymer (Zn-MOP) as an adsorbent and evaluation of its ability for efficient enrichment of L-Cys by ultrasound-assisted dispersive micro solid-phase extraction (UA-DMSPE) method. The structure of Zn-MOP was investigated by FT-IR, XRD and SEM. Analysis of variance (ANOVA) was applied for the experimental data to reach the best optimum conditions. The quantification of L-Cys was carried out by high performance liquid chromatography with UV detection set at ¿ = 230 nm. The calibration graph showed reasonable linear responses towards L-Cys concentrations in the range of 4.0–1000 µg/L (r2 = 0.999) with low limit of detection (0.76 µg/L, S/N = 3) and RSD = 2.18 (n = 3). The results revealed the applicability and high performance of this novel strategy in detecting trace L-Cys by Zn-MOP in complicated matrices.
Javadian, H.; Ghasemi, M.; Ruiz, M.; Sastre, A.; Hosseini Asl, S.; Masomi, M. Ultrasonics sonochemistry Vol. 40, p. 4-68 DOI: 10.1016/j.ultsonch.2017.08.022 Data de publicació: 2018-01-01 Article en revista
In this study, NiO/Rosa Canina-L seeds activated carbon nanocomposite (NiO/ACNC) was prepared by adding dropwise NaOH solution (2 mol/L) to raise the suspension pH to around 9 at room temperature under ultrasonic irradiation (200 W) as an efficient method and characterized by FE-SEM, FTIR and N2 adsorption-desorption isotherm. The effect of different parameters such as contact time (0–120 min), initial metal ion concentration (25–200 mg/L), temperature (298, 318 and 333 K), amount of adsorbent (0.002–0.007 g) and the solution's initial pH (1–7) on the adsorption of Pb (II) was investigated in batch-scale experiments. The equilibrium data were well fitted by Langmuir model type 1 (R2 > 0.99). The maximum monolayer adsorption capacity (qm) of NiO/ACNC was 1428.57 mg/L. Thermodynamic parameters (¿G°, ¿H° and ¿S°) were also calculated. The results showed that the adsorption of Pb (II) onto NiO/ACNC was feasible, spontaneous and exothermic under studied conditions. In addition, a fuzzy-logic-based model including multiple inputs and one output was developed to predict the removal efficiency of Pb (II) from aqueous solution. Four input variables including pH, contact time (min), dosage (g) and initial concentration of Pb (II) were fuzzified using an artificial intelligence-based approach. The fuzzy subsets consisted of triangular membership functions with eight levels and a total of 26 rules in the IF-THEN approach which was implemented on a Mamdani-type of fuzzy inference system. Fuzzy data exhibited small deviation with satisfactory coefficient of determination (R2 > 0.98) that clearly proved very good performance of fuzzy-logic-based model in prediction of removal efficiency of Pb (II). It was confirmed that NiO/ACNC had a great potential as a novel adsorbent to remove Pb (II) from aqueous solution.
A continuous adsorption was used for removal of azure II (AZ II) and auramine O (AO) from aqueous solutions using Pinus eldarica stalks activated carbon (PES-AC) from aqueous solutions. The effects of initial dye concentration, flow rate, bed height and contact time on removal percentage of AO and AZ II were evaluated and optimized by central composite design (CCD) at optimum pH = 7.0. ZnO nanoparticles loaded on activated carbon were also used to remove AO and AZ II at pH = 7.0 and other optimum conditions. The breakthrough curves were obtained at different flow rates, initial dye concentrations and bed heights and the experimental data were fitted by Thomas, Adams–Bohart and Yoon–Nelson models. The main parameters of fixed-bed column including its adsorption capacity at breakthrough point (qb), adsorption capacity at saturation point (qs), mass transfer zone (MTZ), total removal percentage (R%), and empty bed contact time (EBCT) were calculated. The removal percentages calculated for AZ II and AO II were in the range of 51.6–61.1% and 40.6–61.6%, respectively. Bed adsorption capacity (N0) and critical bed depth (Z0) were obtained by BDST model.
In this study, MCM-48 mesoporous silica was functionalized with dendrimer amines based on [1,3,5]-triazines (DA-S-Triazines), characterized by FT-IR, XRD, TEM and N2 sorption-desorption isotherm. The results confirmed the successful graft of organic functional groups on the MCM-48 surface. Then, it was used for the selective sorption of Ag (I) from aqueous solution and real wastewater in the batch system. The effect of main parameters on equilibrium sorption capacity and removal percentage including sorbent dose, pH, contact time, initial metal ion concentration and temperature was investigated. The results showed that the sorption of Ag (I) by DA-S-Triazines@MCM-48 was pH independent in the range of 3–8. The sorption capacity of MCM-48 strongly increases from 7.23 to 123 and 169.49 mg/g for HDA-S-Triazines@MCM-48 and DA-S-Triazines@MCM-48, respectively. The equilibrium data were fitted to nonlinear Freundlich, Temkin and Langmuir models, while a better fit was obtained by Freundlich model. According to the kinetic parameters, the sorption process was rapid. To selective sorption of Ag (I) from aqueous solution and real wastewater, the pore size of MCM-48 was exactly adjusted by changing the amount of DA-S-Triazines ligand. The results illustrated that the selective sorption of Ag (I) increased by increasing the amount of DA-S-Triazines ligand grafted on MCM-48 mesoporous silica. The results of sorption-desorption proved the economic synthesis and practical application of DA-S-Triazines@MCM-48 for sorption of Ag (I) from wastewater. DA-S-Triazines@MCM-48 as a potential sorbent showed high sorption capacity for sorption of Ag (I) from electroplating industry wastewater.
Hosseini Asl, S.; Masomi, M.; Hosseini, M.; Javadian, H.; Ruiz, M.; Sastre, A. Process safety and environmental protection Vol. 107, p. 153-167 DOI: 10.1016/j.psep.2017.02.012 Data de publicació: 2017-04-01 Article en revista
The aim of this research was to estimate the possibility of using synthesized hydrous iron oxide/aluminium hydroxide composite loaded on coal fly ash (FA3) as an efficient sorbent for Cr(VI) sorption from aqueous solution. In this regard, dissolution and precipitation processes were performed to rearrange and load the intrinsic iron and aluminum on the surface of fly ash. Different characterization techniques including XRD, XRF, FT-IR, SEM, LPS and BET surface area were applied to analyze the sorbent properties. Moreover, sorption kinetics were studied using Morris–Weber intra-particle diffusion, Lagergren pseudo-first-order and pseudo-second-order models. The kinetic analyses indicated that pseudo-first-order model controlled the sorption process. In order to estimate the sorbent capacity, Langmuir, Freundlich and D–R models were applied. The thermodynamic parameters of Cr(VI) sorption were also studied. In addition, removal efficiency of Cr(VI) was predicted using the developed fuzzy logic model. The fuzzification of four input variables including pH, contact time, adsorbent dose and initial Cr(VI) concentration versus removal efficiency as output was carried out using an artificial intelligence-based approach. A Mamdani-type fuzzy interface system was employed to fulfill a collection of 24 rules (If-Then format) using triangle membership functions (MFS) with seven levels in fuzzy sets. The proposed fuzzy logic model demonstrated high predictive performance with correlation coefficient (R2) of 0.95 and acceptable deviation from the experimental data, confirming its suitability to predict Cr(VI) removal efficiency. Based on experimental data and statistical analysis, the synthetized sorbent was effective for treating wastewater containing Cr(VI).