MoS2 Modified Screen Printed Carbon Electrode Based Flexible Sensor for Detection of Copper

Neethipathi, D., Ganguly, P., Beniwal, A. , Scott, M. , Bass, A. and Dahiya, R. (2022) MoS2 Modified Screen Printed Carbon Electrode Based Flexible Sensor for Detection of Copper. In: 2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS 2022), Vienna, Austria, 10-13 Jul 2022, ISBN 9781665442749 (doi: 10.1109/FLEPS53764.2022.9781564)

Abstract

Monitoring of heavy metal ions in aquatic environment can be a tedious process, especially in harsh, logistically challenging field conditions. This work demonstrates the detection of copper ions in water using a low-cost screen printed 2D molybdenum disulfide (MoS2) nanoparticle based electrochemical sensor. To deal with the common field-testing challenges, an easily disposable, flexible, compact sized reliable sensor was fabricated using a screen-printing technique. The developed sensor shows an excellent performance with a linear range of 5 µM to 1000 µM, a low limits of detection (LOD) value of just 0.3125 µM, and high repeatability with standard deviation less than 0.5%. With this performance and attractive attributes such as flexible form factor, low-cost fabrication and disposability etc. the presented sensor shows a great potential for practical applications in soil and water monitoring.

• Item Type: Conference Proceedings
• Additional Information: This work was supported by European Commission through AQUASENSE Innovative Training Network (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., Ganguly, P., Beniwal, A., Scott, M., Bass, A., 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: 9781665442749
• Copyright Holders: Copyright © 2022 IEEE
• First Published: First published in 2022 IEEE International Conference on Flexible and Printable Sensors and Systems (FLEPS)
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher

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