Ternary nanocomposite-based smart sensor : Reduced graphene oxide/polydopamine/alanine nanocomposite for simultaneous electrochemical detection of Cd2+, Pb2+, Fe2+, and Cu2+ ions

Copyright © 2023 Elsevier Inc. All rights reserved..

Heavy metal ion (HMI) sensors are the most sought commercial devices for environmental monitoring and food analysis research due to serious health concerns associated with HMI overdosage. Herein, we developed an effective electrochemical sensor for simultaneous detection of four HMI (Cd2+, Pb2+, Fe2+, and Cu2+) using a ternary nanocomposite of reduced graphene oxide functionalized with polydopamine and alanine (ALA/pDA/rGO). Comprehensive spectroscopic and microscopic characterizations were performed to ensure the formation of the ternary nanocomposite. The developed nanocomposite on glassy carbon electrode (GCE) yields >2-fold higher current than GO/GCE electrode with excellent electrochemical stability and charge transfer rate. Using DPV, various chemical and electrochemical parameters, such as supporting electrolyte, buffer pH, metal deposition time, and potential, were optimized to achieve highly sensitive detection of targeted HMI. For Cd2+, Pb2+, Fe2+, and Cu2+ sensing devised sensor exhibited detection limits of 1.46, 2.86, 50.23, and 17.95 ppb and sensitivity of 0.0929, 0.0744, 0.0051, and 0.0394 μA/ppb, respectively, with <6% interference. The sensor worked similarly well for real water samples with HMI. This study demonstrates a novel strategy for concurrently detecting and quantifying multiple HMI in water and soil using a smart ternary nanocomposite-based electrochemical sensor, which can also detect HMI in food samples.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:221

Enthalten in:

Environmental research - 221(2023) vom: 15. März, Seite 115317

Sprache:

Englisch

Beteiligte Personen:

Patel, Monika [VerfasserIn]
Bisht, Neha [VerfasserIn]
Prabhakar, Priyanka [VerfasserIn]
Sen, Raj Kumar [VerfasserIn]
Kumar, Pradip [VerfasserIn]
Dwivedi, Neeraj [VerfasserIn]
Ashiq, Mohammad [VerfasserIn]
Mondal, D P [VerfasserIn]
Srivastava, Avanish Kumar [VerfasserIn]
Dhand, Chetna [VerfasserIn]

Links:

Volltext

Themen:

00BH33GNGH
059QF0KO0R
2P299V784P
7440-44-0
Cadmium
Carbon
Electrochemical sensor
Graphene oxide
Heavy metal ion
Journal Article
Lead
Oxides
Polydopamine
Reduced graphene oxide
Research Support, Non-U.S. Gov't
Simultaneous detection
Water

Anmerkungen:

Date Completed 22.02.2023

Date Revised 14.03.2023

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.envres.2023.115317

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM351683569