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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of The Elect...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of The Electrochemical Society
Article . 2022 . Peer-reviewed
License: IOP Copyright Policies
Data sources: Crossref
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Boosting the Selective Electrochemical Signals for Simultaneous Determination of Chloramphenicol and Furazolidone in Food Samples by Using ZnFe2O4-Based Sensing Platform: Correlation between Analyte Molecular Structure and Electronic Property of Electrode Materials

Authors: Nguyen Ngoc Huyen; Nguyen Tuan Anh; Thi Lan Huong Phung; Ngo Xuan Dinh; Nguyen Thanh Vinh; To Thanh Loan; Van Quy Nguyen; +3 Authors

Boosting the Selective Electrochemical Signals for Simultaneous Determination of Chloramphenicol and Furazolidone in Food Samples by Using ZnFe2O4-Based Sensing Platform: Correlation between Analyte Molecular Structure and Electronic Property of Electrode Materials

Abstract

In this study, ZnFe2O4-based nanostructures, including ZnFe2O4 nanoparticles and ZnFe2O4/ZnO nanocomposite, were introduced on screen-printed electrodes surface (SPEs) for enhancing the selective electrochemical signals towards the chloramphenicol (CAP) and furazolidone (FZD) antibiotics. The difference in the molecular structure of CAP and FZD leads to significant changes in adsorption capacity and electron transfer kinetic at modified electrodes. Interestingly, FZD antibiotic with formal reduction potential (E0’) near the Fermi level of ZnFe2O4-based nanostructures showed a strong dependence of electrochemical response with electron transfer kinetic. In contrast, CAP antibiotic with E0’ away from the Fermi level of ZnFe2O4-based nanostructures showed the high sensitivity of electrochemical response with the electroactive surface area of modified electrodes. The obtained results might offer the basis to develop a suitable approach for improving the analytical performance of advanced spinel oxide nanostructures-based electrochemical sensing devices. Under optimal conditions, ZnFe2O4/ZnO/SPEs enabled the simultaneous monitoring of CAP and FZD in the linear working ranges of 0.5–100 μM and 0.5–75 μM with high electrochemical sensitivity of 1.87 and 1.82 μA μM−1 cm−2, respectively. The ZnFe2O4-based electrochemical nanosensor exhibited high repeatability and long-term storage stability for simultaneous analysis of CAP and FZD in milk sample.

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    citations
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    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    impulse
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Average
Top 10%