Activated carbon (AC) composite with HKUST-1 metal organic framework (AC-HKUST-1 MOF) was prepared by ultrasonically assisted hydrothermal method and characterized by FTIR, SEM and XRD analysis and laterally was applied for the simultaneous ultrasound-assisted removal of crystal violet (CV), disulfine blue (DSB) and quinoline yellow (QY) dyes in their ternary solution. In addition, this material, was screened in vitro for their antibacterial actively against Methicillin-resistant Staphylococcus aureus (MRSA) and Pseudomonas aeruginosa (PAO1) bacteria. In dyes removal process, the effects of important variables such as initial concentration of dyes, adsorbent mass, pH and sonication time on adsorption process optimized by Taguchi approach. Optimum values of 4, 0.02 g, 4 min, 10 mg L(-1) were obtained for pH, AC-HKUST-1 MOF mass, sonication time and the concentration of each dye, respectively. At the optimized condition, the removal percentages of CV, DSB and QY were found to be 99.76%, 91.10%, and 90.75%, respectively, with desirability of 0.989. Kinetics of adsorption processes follow pseudo-second-order model. The Langmuir model as best method with high applicability for representation of experimental data, while maximum mono layer adsorption capacity for CV, DSB and QY on AC-HKUST-1 estimated to be 133.33, 129.87 and 65.37 mg g(-1) which significantly were higher than HKUST-1 as sole material with Qm to equate 59.45, 57.14 and 38.80 mg g(-1), respectively.

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The present study deals with the simultaneous removal of chrysoidine G (CG), rhodamine B (RB) and disulfine blue (DB) by Ni doped ferric oxyhydroxide FeO(OH) nanowires on activated carbon (Ni doped FeO(OH)-NWs–AC).

Simultaneous ultrasonic-assisted adsorption of malachite green (MG) and safranin O (SO) onto ZnO nanorodloaded activated carbon (ZnO-NR-AC) as 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 real behavior of adsorption state. Optimum conditions at which the maximum removal of the MG (99 %) and SO (95 %) are achieved in short time were obtained. The adsorption kinetics and equilibrium isotherm were shown to be well described by the pseudosecond-order kinetic and Langmuir model, respectively. The reasonably high values of 59.17 and 55.25 mg g −1for the adsorption capacity of Zn-NR-AC were obtained for the adsorption of MG and SO, respectively.

This paper focuses on the development of an effective methodology to obtain the optimum ultrasonic‐assisted removal of a dye, safranin O (SO), under optimum conditions that maximize the removal percentage, using ZnO nanorod‐loaded activated carbon (ZnO‐NRs‐AC) in aqueous solution. Central composite design coupled with genetic algorithm was used for parameter optimization. The effects of variables such as pH, initial dye concentration, mass of ZnO‐NRs‐AC and sonication time were studied. The interactive and main effects of these variables were evaluated using analysis of variance. The structural and physicochemical properties of the ZnO‐NRs‐AC adsorbent were investigated using field emission scanning electron microscopy and X‐ray diffraction. Adsorption equilibrium data were fitted well with the Langmuir isotherm and the maximum monolayer capacity was found to be 32.06 mg g−1. Studies of the adsorption kinetics of the SO dye showed a rapid sorption dynamic with a pseudo‐second‐order kinetic model, suggesting a chemisorption mechanism.

A novel adsorbent was fabricated by covalently anchoring N-(3-Nitro-benzylidene)-N'-trimethoxysilylpropylethane-1, 2-diamine onto multiwalled carbon nanotubes (NBATSPED-MWCNTs). This novel material was characterized by different techniques such as XRD, SEM, FT-IR and TGA-DTA. Subsequently, it was used for the ultrasound-assisted removal of aluminum (III) ions via its complexation with eriochrome cyanine R (ECR)indicator. The influences of variables such as initial ECR concentration (X 1 ), initial Al 3+ ions concentration (X 1 ), adsorbent dosage (X 3 ) and contact time (X 4 ) on the efficiency of removal process were investigated by small central composite design (CCD) under response surface methodology and genetic algorithm (GA). The process was empirically modeled to reveal the significant variables and their possible interactions. The optimization conditions were set as: 3 min, 20.238 mg, 20 mg L -1 and 15 mg L -1 for sonication time, adsorbent mass, initial Al 3+ ions concentration and initial ECR concentration, respectively. Finally, it was found that the equilibrium and kinetic of adsorption process follow the Langmuir isotherm and pseudo-second-order kinetic model, respectively. From the Langmuir isotherm, maximum monolayer capacity (q max ) was obtained to be 46.74 mg g −1 at optimum conditions.

Activated carbon (AC) was magnetized with Fe3O4 nanoparticles (AC–Fe3O4-NPs), loaded with Au nanoparticles (AC–Fe3O4–Au-NPs), modified with DBABT and applied for the ultrasound-assisted removal of Cd2+, Pb2+, Cr3+ and Ni2+ ions via complexation with DBABT.

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