Green synthesis of iron oxide/cellulose magnetic recyclable nanocomposite and its evaluation in ciprofloxacin removal from aqueous solutions

被引:29
作者
Azizi, Amir [1 ]
机构
[1] Arak Univ, Fac Sci, Dept Chem, Arak 3815688138, Iran
关键词
Green synthesis; Verbascum thapsus; Magnetic nanocomposite; Iron oxide; cellulose; Ciprofloxacin; Adsorption; ECO-FRIENDLY SYNTHESIS; OXIDE NANOPARTICLES; WATER-TREATMENT; MEDIATED SYNTHESIS; EXTRACT; DEGRADATION; ADSORPTION; ANTIBIOTICS; CELLULOSE; BIOSYNTHESIS;
D O I
10.1007/s13738-020-02028-4
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In this work, an eco-friendly, rapid, and simple approach using natural chemical components available in the aqueous extract ofVerbascum thapsusplant was used for green synthesis of iron oxide nanoparticles and then iron oxide/cellulose magnetic nanocomposite, with good magnetic separation capability. The properties of the green synthesis nanocomposite were studied using different techniques, such as X-ray spectroscopy, dynamic light scattering, and magnetometry. Dynamic light scattering and magnetometry analyses showed that the average particle size of the nanocomposite prepared is at least 18.5 nm with a surface charge of 22 mV and 25 emu/g magnetic saturation. In the following, the adsorption ability of the synthesized nanocomposite was evaluated to remove ciprofloxacin from aquatic solutions. The effectiveness of four important parameters, including pH, initial concentration of ciprofloxacin, amount of nanocomposite, and contact time, in ciprofloxacin removal was optimized. Furthermore, several isotherms and kinetic models as well as thermodynamic adsorption process were examined to obtain the mechanism and kinetics of the adsorption. The removal efficiency was 92.01%. at the determined optimum conditions: pH of 7, concentrations of 15 mg/L of ciprofloxacin, nanocomposite dosage of 20 mg/L, and contact time of 40 min. Langmuir isotherm with a maximum adsorption capacity of 168.03 mg/g, a pseudo-first-order kinetic model with a constant rate of 1.21/min, and a correlation coefficient of 0.986 were the best models for fitting the experimental data.
引用
收藏
页码:331 / 341
页数:11
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