Electrochemical Detection of Fe2+ ions in Water using 2-Dimensional g-C3N4 modified Glassy Carbon Electrode-based Sensor

Neethipathi, D. K., Beniwal, A. , Ganguly, P., Bass, A. , Scott, M. and Dahiya, R. (2023) Electrochemical Detection of Fe2+ ions in Water using 2-Dimensional g-C3N4 modified Glassy Carbon Electrode-based Sensor. In: IEEE Applied Sensing Conference (IEEE APSCON 2023), Bengaluru, India, 23-25 Jan 2023, ISBN 9781665461634 (doi: 10.1109/APSCON56343.2023.10101086)

Abstract

This work presents a 2-Dimensional (2D) Graphitic carbon nitride (g-C 3 N 4 ) modified glassy carbon electrode (GCE)based electrochemical sensor for detection of Fe2+ ions in water. The 2Dg-C 3 N 4 nanomaterial is prepared by dispersing, ultrasonification and then modifying the GCE using the drop-casting method. The structural and morphological characteristics of the prepared g-C 3 N 4 are examined using X-ray diffraction (XRD) and scanning electron microscopy (SEM). The performance of the sensor is analysed for different concentrations (from 0.9 mM to 5 mM) of iron content in the electrolyte using cyclic voltammetry (CV) and differential pulse voltammetry (DPV). The obtained results indicate excellent sensing performance towards target ions. Along with the concentration study, the accumulation study (with a scan speed of10 mV/s to 1000 mV/s in -0.6V to 0. SV region) and repeatability analysis (30 CV scans) are also carried out. Based on the obtained results, the 2Dg-C 3 N 4 modified sensor work is a promising candidate for electrochemical detection of Fe2+ ions in water for a wide range of applications.

• Item Type: Conference Proceedings
• Additional Information: This work is supported by European Commission through Innovative Training Network AQUASENSE (H2020-MSCA-ITN-2018-813680).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ganguly, Ms Priyanka and Neethipathi, Mr Deepan and Dahiya, Professor Ravinder and Bass, Dr Adrian and Beniwal, Dr Ajay and Scott, Professor Marian
• Authors: Neethipathi, D. K., Beniwal, A., Ganguly, P., Bass, A., Scott, M., and Dahiya, R.
• College/School: College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering; College of Science and Engineering > School of Geographical and Earth Sciences; College of Science and Engineering > School of Mathematics and Statistics > Statistics
• ISBN: 9781665461634
• Copyright Holders: Copyright © 2023 IEEE
• First Published: First published in 2023 IEEE Applied Sensing Conference (APSCON)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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