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Liu H, Baghayeri M, Amiri A, Karimabadi F, Nodehi M, Fayazi M, Maleki B, Zare EN, Kaffash A. A strategy for As(III) determination based on ultrafine gold nanoparticles decorated on magnetic graphene oxide. ENVIRONMENTAL RESEARCH 2023; 231:116177. [PMID: 37201707 DOI: 10.1016/j.envres.2023.116177] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 05/14/2023] [Accepted: 05/15/2023] [Indexed: 05/20/2023]
Abstract
In this work, a new dendrimer modified magnetic graphene oxide (GO) was used as a substrate for electrodeposition of Au nanoparticles. The modified magnetic electrode was employed for sensitive measuring of As(III) ion as a well-established human carcinogen. The prepared electrochemical device exhibits excellent activity towards As(III) detection using the square wave anodic stripping voltammetry (SWASV) protocol. At optimum conditions (deposition potential at -0.5 V for 100 s in 0.1 M acetate buffer with pH 5.0), a linear range from 1.0 to 125.0 μgL-1 with a low detection limit (calculated by S/N = 3) of 0.47 μg L-1 was obtained. In addition to the simplicity and sensitivity of the proposed sensor, its high selectivity against some major interfering agents, such as Cu(II) and Hg(II) makes it an appreciable sensing tool for the screening of As(III). In addition, the sensor revealed satisfactory results for detection of As(III) in different water samples, and the accuracy of obtained data were confirmed by inductively coupled plasma atomic emission spectroscopy (ICP-AES) setup. Accounting for the high sensitivity, remarkable selectivity and good reproducibility, the established electrochemical strategy has great potential for analysis of As(III) in environmental matrices.
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Affiliation(s)
- Huazhong Liu
- Department of Basic Courses, Wuhan Donghu University, Wuhan, China; School of Physics and Telecommunications, Huanggang Normal University, Huanggang, China; Artificial Intelligence School, Wuchang University of Technology, Wuhan, China
| | - Mehdi Baghayeri
- Department of Chemistry, Faculty of Science, Hakim Sabzevari University, PO. Box 397, Sabzevar, Iran.
| | - Amirhasan Amiri
- Department of Chemistry, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Fatemeh Karimabadi
- Department of Chemistry, Faculty of Science, Hakim Sabzevari University, PO. Box 397, Sabzevar, Iran
| | - Marziyeh Nodehi
- Department of Chemistry, Faculty of Science, Hakim Sabzevari University, PO. Box 397, Sabzevar, Iran
| | - Maryam Fayazi
- Department of Environment, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran
| | - Behrooz Maleki
- Department of Organic Chemistry, Faculty of Chemistry, University of Mazandaran, Babolsar, Iran
| | | | - Afsaneh Kaffash
- Department of Internal Medicine, Faculty of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran
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