2019
DOI: 10.1002/elan.201900088
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Development of Nonenzymatic Benzoic Acid Detection on PdSn/GCE/Vulcan XC‐72R Prepared via Polyol Method

Abstract: In this study a PdSn based sensor was developed for the determination of benzoic acid (BA) in foods. A carbon (Vulcan XC‐72R) supported PdSn catalyst was prepared via polyol method and its surface electronic and chemical properties were investigated by advanced surface analytical techniques such as scanning electron microscopy (SEM), X‐ray diffraction spectroscopy (XRD), X‐ray Photoelectron Spectroscopy (XPS), temperature‐programmed reduction with H2 (TPR‐H2) and transmission electron microscopy (TEM). Electro… Show more

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Cited by 14 publications
(2 citation statements)
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References 36 publications
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“…However, further applications of enzyme-based electrochemical sensors were prevented because of the inherent disadvantages of low stability, inferior reproducibility, and conditional sensitivity in different environmental influence such as pH and temperature . Therefore, the construction of a nonenzymatic electrochemical method for highly selective and ultrasensitive determination of H 2 O 2 has attracted great interests. …”
Section: Introductionmentioning
confidence: 99%
“…However, further applications of enzyme-based electrochemical sensors were prevented because of the inherent disadvantages of low stability, inferior reproducibility, and conditional sensitivity in different environmental influence such as pH and temperature . Therefore, the construction of a nonenzymatic electrochemical method for highly selective and ultrasensitive determination of H 2 O 2 has attracted great interests. …”
Section: Introductionmentioning
confidence: 99%
“…In electroanalysis, electrode–solution coupling is of vital importance because the maintenance of a diffusion curve causes analytes to migrate from the entire solution approach to the electrode surface in the absence of applied voltage, and the concentration of the analyte across the surface of the electrode can influence a number of electrochemical variables (Kazici et al., 2019).…”
Section: Resultsmentioning
confidence: 99%