Lemon Aids Green Synthesis of Reduced Graphene Oxide-Based FET Sensors for the Detection of Lead and Cadmium Ions in Water

Conference Paper (2024)
Author(s)

None Nimisha (Indian Institute of Technology Kharagpur)

Monojit Mondal (Indian Institute of Technology Kharagpur)

Avik Sett (TU Delft - Bio-Electronics)

Virendra Kumar Tewari (Indian Institute of Technology Kharagpur)

Tarun Kanti Bhattacharyya (Indian Institute of Technology Kharagpur)

Research Group
Bio-Electronics
DOI related publication
https://doi.org/10.1109/SENSORS60989.2024.10784891
More Info
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Publication Year
2024
Language
English
Research Group
Bio-Electronics
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
ISBN (electronic)
9798350363517
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Abstract

Graphene is the most fascinating material due to its exceptional electrical and mechanical properties. The reduced form of graphene oxide (GO) is best suitable for sensor applications. There are numerous methods available for reducing GO by synthetic reducing agents that are not environment-friendly and cost-effective. Therefore, in this research work, natural lemon juice is used as a potential reducing agent. It creates defects on the GO surface by altering various functional groups. These are clearly visible in Raman and FTIR results and help in the sensing of the lead (Pb2+) and cadmium (Cd2+) ions. Field effect transistor (FET) based active structure is used to amplify its sensitivity and discriminate the lead and cadmium ions by tuning the gate voltage. The optimized gate voltages for lead (Pb2+) and cadmium (Cd2+) ions are -1.6 V and 0.8 V, respectively, at which the sensor shows the maximum response. This green synthesis approach of sensor fabrication highlights sustainable and cost-effective solutions in the field of reduced graphene-based FET sensors.

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