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 |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:221 |
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Enthalten in: |
Environmental research - 221(2023) vom: 15. März, Seite 115317 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Patel, Monika [VerfasserIn] |
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Links: |
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Anmerkungen: |
Date Completed 22.02.2023 Date Revised 14.03.2023 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1016/j.envres.2023.115317 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM351683569 |
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520 | |a Copyright © 2023 Elsevier Inc. All rights reserved. | ||
520 | |a 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 | ||
650 | 4 | |a Journal Article | |
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700 | 1 | |a Bisht, Neha |e verfasserin |4 aut | |
700 | 1 | |a Prabhakar, Priyanka |e verfasserin |4 aut | |
700 | 1 | |a Sen, Raj Kumar |e verfasserin |4 aut | |
700 | 1 | |a Kumar, Pradip |e verfasserin |4 aut | |
700 | 1 | |a Dwivedi, Neeraj |e verfasserin |4 aut | |
700 | 1 | |a Ashiq, Mohammad |e verfasserin |4 aut | |
700 | 1 | |a Mondal, D P |e verfasserin |4 aut | |
700 | 1 | |a Srivastava, Avanish Kumar |e verfasserin |4 aut | |
700 | 1 | |a Dhand, Chetna |e verfasserin |4 aut | |
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