Mahdi Jamshidi

Bio: Mahdi Jamshidi is an academic researcher from Yasouj University. The author has contributed to research in topics: Adsorption & Chemistry. The author has an hindex of 7, co-authored 7 publications receiving 631 citations.

Enhanced simultaneous removal of malachite green and safranin O by ZnO nanorod-loaded activated carbon: modeling, optimization and adsorption isotherms

Abstract: The simultaneous ultrasonic-assisted adsorption of malachite green (MG) and safranin O (SO) onto ZnO nanorod-loaded activated carbon (ZnO-NR-AC) as a green and safe nanostructured adsorbent was studied. The adsorbent was characterized by SEM, FT-IR and XRD. The dependence of adsorption efficiency on various parameters such as pH, sonication time, adsorbent mass, initial MG concentration and initial SO concentration was investigated by central composite design (CCD) under response surface methodology (RSM). A predictive model was successfully constructed for the suitable description of the real behavior of the adsorption state. The optimum conditions at which the maximum removal of MG (99%) and SO (95%) is achieved in a short time were obtained. The adsorption kinetics and equilibrium isotherm were shown to be well described by the pseudo-second-order kinetic and Langmuir models, respectively. Reasonably high values of 59.17 and 55.25 mg g−1 for the adsorption capacity of Zn-NR-AC were obtained for the adsorption of MG and SO, respectively.

Application of artificial neural network and response surface methodology for the removal of crystal violet by zinc oxide nanorods loaded on activate carbon: kinetics and equilibrium study

Abstract: The present work discusses the removal of crystal violet dye from aqueous solution by ultrasound assisted adsorption using zinc oxide nanorods loaded on activate carbon as an adsorbent The said adsorbent was prepared and characterized using field emission scanning electron microscopy, X-ray diffraction and Fourier transform infrared analysis The important process parameters, such as initial crystal violet concentration (8–24 mg/L), solution pH (30–70), adsorbent doses (0005–0025 g), and sonication time (2–6 min) were optimized using design of experiments The optimum removal efficiency of crystal violet onto adsorbent was determined as 9982% at pH 70, 0025 g adsorbent dosage, 24 mg/L initial crystal violet concentration and 50 min sonication time Analysis of variance showed a high coefficient of determination ( R 2 = 0992) The present analysis suggests that the predicted values are in good agreement with experimental data Also, the artificial neural network model was used for predicting removal (%) of crystal violet dye based on experimental data Equilibrium data was fitted well with the Langmuir model having maximum adsorption capacity of 11364 mg/g The adsorption of crystal violet followed the pseudo-second order kinetic model This study clearly showed that response surface methodology was one of the appropriate methods to optimize the operating conditions

Ultrasound-assisted removal of Al3+ ions and Alizarin red S by activated carbon engrafted with Ag nanoparticles: central composite design and genetic algorithm optimization

Abstract: In this study, activated carbon engrafted with Ag nanoparticles (Ag-NPs–AC) was prepared and applied for ultrasonic assisted simultaneous removal of aluminum (Al3+) ions and Alizarin red S (ARS) dye from an aqueous medium. The physicochemical properties of Ag-NPs–AC were determined by different techniques such as SEM and FTIR. The effects of various operating parameters on the extent of adsorption were investigated. Optimum conditions were determined in order to achieve maximum removal percentage from the binary mixture. It was observed that the maximum performance for both the species was achieved at a pH of 6. The influence of different variables, such as the concentration of initial Al3+ (mg L−1) ions, ARS (mg L−1), adsorbent mass (mg) and sonication time (s), were studied using central composite design (CCD) combined with a desirability function approach (DFA) and genetic algorithm (GA). The isotherm models for the adsorption process were evaluated and the equilibrium data were accurately described by the Langmuir model with the maximum monolayer adsorption capacity for Al3+ ions and ARS as 222.2 and 232.6 mg g−1, respectively.

The cancer cell

Abstract: These investigations and several others that have beenpublishedwithin recentyears compel us us to hold the view that the ratio of the vital capacity to the body length, trunk length, chest circumference,surfacearea or weight or any combination of thesemeasurements, is too variable to admit of any workable standardor normal value. On the other hand the vital capacity of each individual, after he had becomeaccustomedto the use of the spirometer,will be found to be subjectto but small variations as long as good health is maintained. Thereseems to beevidenceto show that a reductionin the vital capacityis ofen the first sign of a progressivedamageto the respiratorytissue.

Degradation of hazardous organic dyes in water by nanomaterials

Abstract: There is about 700,000 tonnes of dyes, of more than 10,000 types, that are used as coloring agents in industries, mainly for textile. The release of dyes in natural media is of concern due to their high persistence, toxicity and potential to the bioaccumulate in living organisms. In particular, the most commercialized and carcinogenic azo dyes, that pocess a benzidine function, needs urgent attention. Here, we review the current status of cationic and anionic dyes. We present dye removal techniques using nanoparticles through adsorption and degradation. Among dye removal techniques, adsorption was found the most efficient and cheap. For that, conventional adsorbents such as commercial activated carbon, chitosan and natural waste are often employed. We discuss the use of ZnO, TiO2 and Fe0 to remove dye pollution.