Synthesis and characterization of magnetic graphene nano-adsorbent stabilized on polymer nylon 6 and its application for removal of lead (II) ions contaminant form aqueous solution

Subject Areas :

سید یدالله میر نظامی ¹ , مهران دولو ² , محمودرضا سهرابی ³ , مرتضی خسروی ⁴ , فرشته مطیعی ⁵

1 - دانشجوی دکتری شیمی کاربردی، دانشکده شیمی، دانشگاه آزاد اسلامی واحد تهران شمال، تهران، ایران
2 - دانشیار شیمی پلیمر، دانشکده شیمی، دانشگاه آزاد اسلامی واحد تهران شمال، تهران، ایران
3 - استاد شیمی تجزیه، دانشکده شیمی، دانشگاه آزاد اسلامی واحد تهران شمال، تهران، ایران
4 - استاد شیمی کاربردی، دانشکده شیمی، دانشگاه آزاد اسلامی واحد تهران شمال، تهران، ایران
5 - استادیار شیمی کاربردی، دانشکده شیمی، دانشگاه آزاد اسلامی واحد تهران شمال، تهران، ایران

Received: 2017-08-13 Accepted : 2017-12-13 Published : 2018-11-22

Keywords: Magnetic nanoparticles, Graphene, Adsorbent, Removal efficiency, Nylon-6 and Lead ions,

Abstract :

In this research, the magnetic graphene nanoparticle )GM( was synthesized and stabilized on nylon-6. The purpose of its synthesis is to remove lead ions )II( contaminant from the aqueous solution. The prepared nanocomposite was characterized using X-ray diffraction analysis )XRD(, scanning electron microscope )SEM(, Fourier transform infrared spectrometry )FT-IR(, and surface area determination )BET(. In order to optimize the removal of Pb)II( ions from the aqueous solution the graphene was converted from two-dimensional to three-dimensional structure by using nylon-6 as substract to increase the surface area of the graphene and consequently increase the adsorbent efficiency. Another advantage of the absorbent is its magnetic effect that allows adsorption of the contaminant and its easy separation by an external magnet. The influence of experimental parameters such as initial solution pH, contact time, adsorbent dosage, concentration of lead ions (II) solution, and solution temperature on the removal efficiency were investigated. At optimal conditions the removal efficiency of lead ions (II) achieved by adsorbent was 95%.

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