As (III) regularly requires oxidation to As (V), before it can be removed from water. Here, we reported photocatalytic removal of As (III) as well as adsorption of As (III) and As (V) using a novel, porous magnetic Ag/TiO2/Fe3O4@GO nanocomposite which was characterized via FT-IR, XRD, SEM, and TEM. A mathematical model (the central composite design) was used to estimate the relationship between the observed adsorption and our set of variables including initial concentration of arsenic ions, adsorbent dosage, pH, and the contact time. An optimum adsorption capacity of about 91% was observed for As (III) using 20 mg adsorbent with 24 ppm initial concentration of As (III), at pH = 5, within 90 min, and room temperature. Likewise, an optimum adsorption capacity of about 87% was observed for As (V) using 11 mg adsorbent with 17 ppm initial concentration of As (V), at pH = 3, within 30 min, and room temperature. The electrostatic factors between surface charge of nanocomposite and arsenic species were used to explain adsorption behavior of As (III) and As (V) at different conditions. The Langmuir isotherm equations best interpreted the nature of adsorption of As (III) and A (V). It was found during phocatalytic process maximum R% was about 63% for As (III) using 40 mg photocatalyst. Arsenic Adsorption Photocatalyst Magnetic nanocomposite Ag nanoparticles M. Miranzadeh et al.
Nowadays, removal of the waste from industrial activities is one of the serious problems in the world. Contrarily, needing the development of industrial construction and reduce its costs, with considering the construction quality, are the main priorities of progress. Therefore, in this paper, for the first time, all these issues are considered related to using the waste of coal extraction; also, the application of coal wash rejects in the concrete manufacture and its impact on tensile strength of concrete have been investigated. To this goal, coal waste was prepared from the Central Alborz Coal Preparation Plant in northern Iran. Designing the experiments by the response surface methodology (RSM), the influence of parameters like water/cement (0.4-0.6), cement content (305-445 kg/m 3 ), aggregate volume (0.4-0.6%) and coal waste (0.5-9.75%) on the tensile strength to cost of concrete construction were evaluated. Presenting the model, optimizing and investigating the individual, reciprocal and simultaneous effects of independent variables on the tensile strength to cost of concrete by RSM were conducted for the first time. Based on the results of tensile strength tests and estimating the cost of concrete construction, the highest ratio of tensile strength to cost was obtained by using the cement content of 340 kg/m 3 , water/cement of 0.45, gravel volume of 0.55% and coal waste of 7.5%. In this case, the response value was 1.29E−6 MPa/USD. These results indicate the high potential of these wastes in the production of concrete in terms of tensile strength and also economic aspect.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.