Electrocatalytic performance of PdNi bimetallic alloys on CNFs for glucose oxidation

It is imperative to utilize nanotechnology in body-integrated sensors and fuel cell technologies. In accordance with these two purposes, this study focused on developing a suitable nanocatalyst structure to contribute to both glucose sensors and direct glucose fuel cell research. We primarily produced carbon nanofiber (CNF) structures using the electrospinning method. Carbon nanofiber-supported bimetallic palladium/nickel nanoalloy (PdNi@CNF) with high electrocatalytic activity was produced by the chemical reduction method to replace platinum-based nanostructures. CNF-supported PdNi structures were revealed by scanning electron microscope (SEM), and the average fiber diameter was calculated as 35.86 nm. In this study, this PdNi@CNF nanostructure was produced as an electrocatalyst for non-enzymatic glucose sensing (NEGS) and direct glucose fuel cell (DGFC) applications. It was modified by the drop-casting method on a glassy carbon electrode (GCE). The (Limit of Detection) LOD value for the PdNi@CNF structure was 5.93 mM, and the (Limit of Quantification) LOQ value was 17.95 mM. The PdNi@CNF electrode exhibits a low detection limit, high selectivity, short response time for NEGS, long-term stability, and high current value for DGFC applications. Briefly, an ideal catalyst that can operate in low alkaline environments and that can be used in NEGS and DGFC structures has been synthesized in this work. The results have shown that it can be used as a body-integrated sensor structure and a long-term stable catalyst in future studies.

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Publication Details

Journal
Scientific Reports
Published
2025-11-03
DOI
https://doi.org/10.1038/s41598-025-22335-1
Citations
1
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
0.73
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article

Electrocatalytic performance of PdNi bimetallic alloys on CNFs for glucose oxidation

Muhammed Bekmezci, Fatih Şen, Ramazan Bayat, Mehmet Selcuk Erdogan
1 citations
Scientific Reports
Electrochemical sensors and biosensors
0.73
article

Electrocatalytic performance of PdNi bimetallic alloys on CNFs for glucose oxidation

Muhammed Bekmezci, Fatih Şen, Ramazan Bayat, Mehmet Selcuk Erdogan
article en
1 citations

Abstract

It is imperative to utilize nanotechnology in body-integrated sensors and fuel cell technologies. In accordance with these two purposes, this study focused on developing a suitable nanocatalyst structure to contribute to both glucose sensors and direct glucose fuel cell research. We primarily produced carbon nanofiber (CNF) structures using the electrospinning method. Carbon nanofiber-supported bimetallic palladium/nickel nanoalloy (PdNi@CNF) with high electrocatalytic activity was produced by the chemical reduction method to replace platinum-based nanostructures. CNF-supported PdNi structures were revealed by scanning electron microscope (SEM), and the average fiber diameter was calculated as 35.86 nm. In this study, this PdNi@CNF nanostructure was produced as an electrocatalyst for non-enzymatic glucose sensing (NEGS) and direct glucose fuel cell (DGFC) applications. It was modified by the drop-casting method on a glassy carbon electrode (GCE). The (Limit of Detection) LOD value for the PdNi@CNF structure was 5.93 mM, and the (Limit of Quantification) LOQ value was 17.95 mM. The PdNi@CNF electrode exhibits a low detection limit, high selectivity, short response time for NEGS, long-term stability, and high current value for DGFC applications. Briefly, an ideal catalyst that can operate in low alkaline environments and that can be used in NEGS and DGFC structures has been synthesized in this work. The results have shown that it can be used as a body-integrated sensor structure and a long-term stable catalyst in future studies.

Scientific ReportsVol. 15(1)
Kütahya Dumlupınar Üniversitesi (TR)
Openalex Percentile: Top 22%
Electrochemical sensors and biosensors
0.73
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Electrocatalytic performance of PdNi bimetallic alloys on CNFs for glucose oxidation — Muhammed Bekmezci, Fatih Şen, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS