Multifunctional nanohybrid for simultaneous detection and removal of Arsenic(III) from aqueous solutions. (February 2022)

• Record Type: Journal Article
• Authors: Singh, Simranjeet; Khasnabis, Sutripto; Anil, Amith G.; Kumar, Vijay; Kumar Naik, TS Sunil; Nath, Bidisha; Garg, Vinod Kumar; Singh, Joginder; Ramamurthy, Praveen C.
• Is Part Of: Chemosphere. Volume 289(2022)
• Publication Date: 2022-02
• Subjects: Graphene oxide -- Zinc oxide -- ZnO-GO nanocomposites -- As(III) removal -- Adsorption isotherms -- Sensing studies; Pollution -- Periodicals; Pollution -- Physiological effect -- Periodicals; Environmental sciences -- Periodicals; Atmospheric chemistry -- Periodicals; 551.511
• DOI: 10.1016/j.chemosphere.2021.133101
• Languages: English
• ISSNs: 0045-6535

Abstract

Abstract: Herein, for the adsorption and detection of As (III), multifunctional nanohybrid have been synthesized using a solvothermal approach. Structural and functional characterizations confirmed the impregnation of the ZnO over graphene oxide. Nanohybrid exhibits a remarkable qmax (maximum adsorption capacity) of 8.17 mg/g, at an adsorbent dose of 3 g/L and pH of 8.23. Higher adsorption with nanohybrid was attributed to a large BET surface area of 32.950 m 2 /g. The chemical nature and adsorption behaviour of As(III) on ZnO-GO were studied by fitting the data with various adsorption isotherms (Langmuir & Freundlich) and kinetics models (six models). It is observed from the findings that removal of As(III) with ZnO-GO nanocomposite appears to be technically feasible with high removal efficiency. The feasibility of the nanocomposite to function as a sensor for the detection of As(III) was also evaluated. The fabricated sensor could detect As(III) with a lower limit of detection of 0.24 μM and linear range up to 80 μM. Overall, this study is significant in nanohybrid as a multifunctional composite for the adsorption and detection of As (III) from wastewater. Graphical abstract: Image 1 Highlights: ZnO-GO nanohybrid was synthesized by a solvothermal approach using ZnO nanoparticles and graphene oxide. ZnO-GO nanocomposite exhibited exemplary removal efficiencies for As(III) from an aqueous matrix. Optimum conditions for adsorption of As(III) by ZnO-GO nanohybrid were determined. Nanohybrid acts as a sensing material for electrochemical detection of As(III) in environmental matrices.