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PMID: 35252114 Published · epublish English Journal Article

Multiplexed Anodic Stripping Voltammetry Detection of Heavy Metals in Water Using Nanocomposites Modified Screen-Printed Electrodes Integrated With a 3D-Printed Flow Cell.

Frontiers in chemistry ·Vol. 10 ·2022-00-00 ·页码 815805

Zhao G, Tran TT, Modha S, Sedki M, Myung NV, Jassby D, Mulchandani A

Abstract

In this study, we present multiplexed anodic stripping voltammetry (ASV) detection of heavy metal ions (HMIs)-As(III), Cd(II), and Pb(II)-using a homemade electrochemical cell consisting of dual working, reference and counter screen-printed electrodes (SPE) on polyimide substrate integrated with a 3D-printed flow cell. Working and counter electrodes were fabricated by the screen-printing of graphite paste while the Ag/AgCl paste was screen-printed as a reference electrode (Ag/AgCl quasi-reference electrode). The working electrodes were modified with (BiO)2CO3-reduced graphene oxide (rGO)-Nafion [(BiO)2CO3-rGO-Nafion] and Fe3O4 magnetic nanoparticles (Fe3O4MNPs) decorated Au nanoparticles (AuNPs)-ionic liquid (IL) (Fe3O4-Au-IL) nanocomposites separately to enhance HMIs sensing. Electrochemical detection was achieved using square wave ASV technique. The desired structure of the flow electrochemical cell was optimized by the computational fluid dynamic (CFD). Different experimental parameters for stripping analysis of HMIs were optimized including deposition time, deposition potential and flow rate. The linear range of calibration curves with the sensing nanocomposites modified SPE for the three metal ions was from 0-50 μg/L. The limits of detection (S/N = 3) were estimated to be 2.4 μg/L for As(III), 1.2 μg/L for Pb(II) and 0.8 μg/L for Cd(II). Furthermore, the homemade flow anodic stripping sensor platform was used to detect HMIs in simulated river water with a 95-101% recovery, indicating high selectivity and accuracy and great potential for applicability even in complex matrices.

Keywords
3D printing anodic stripping voltammetry flow injection heavy metals detection screen printed electrode
作者与单位
共 7 位作者,点击展开单位 / ORCID
Zhao Guo
Department of Chemical and Environmental Engineering, University of California, Riverside, Riverside, CA, United States. | College of Artificial Intelligence, Nanjing Agricultural University, Nanjing, China.
Tran Thien-Toan
Department of Bioengineering, University of California, Riverside, Riverside, CA, United States.
Modha Sidharth
Department of Bioengineering, University of California, Riverside, Riverside, CA, United States.
Sedki Mohammed
Materials Science and Engineering Program, University of California, Riverside, Riverside, CA, United States.
Myung Nosang V
Department of Chemical and Environmental Engineering, University of California, Riverside, Riverside, CA, United States.
Jassby David
Department of Civil and Environmental Engineering, University of California, Los Angeles, Los Angeles, CA, United States.
Mulchandani Ashok
Department of Chemical and Environmental Engineering, University of California, Riverside, Riverside, CA, United States. | Center for Environmental Research and Technology (CE-CERT), University of California, Riverside, Riverside, CA, United States.
Article Info
Journal
Frontiers in chemistry
Abbr.
Front Chem
ISSN
2296-2646
Published
2022-00-00
电子出版
2022-00-17
页码
815805
Language
English
Country/Region
Switzerland
NLM ID
101627988
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