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Published on: December 6, 2021
Nanoelectroanalysis with Carbon Nanopipettes Based on Prussian Blue-NiHCF for Hydrogen Peroxide Sensing
Antonino Biagio Carbonaro1, Gregorio Laucirica1, Gastón A Crespo1,2
1UCAM-SENS, Universidad Católica San Antonio de Murcia, UCAM HiTech , Avda. Andrés Hernández Ros, 1, Murcia30107, Spain.
Analytical Chemistry
|August 4, 2026
Summary
This study introduces Prussian Blue-Nickel hexacyanoferrate modified carbon nanopipettes for enhanced hydrogen peroxide (H2O2) detection. This novel approach improves stability and mechanistic understanding for nanoscale electroanalysis.
Area of Science:
- Electrochemistry
- Nanotechnology
- Analytical Chemistry
Background:
- Carbon nanopipettes (CNPs) offer high spatial resolution for intracellular redox sensing.
- Existing CNP-based H2O2 sensors face limitations in stability and mechanistic understanding due to surface chemistry under nanoconfinement.
Purpose of the Study:
- To develop a novel modified carbon nanopipette for robust electrochemical detection of H2O2.
- To investigate the role of Prussian Blue-Nickel hexacyanoferrate (PB-NiHCF) in enhancing H2O2 sensing within nanoconfined environments.
Main Methods:
- Electrodeposition of PB-NiHCF thin films onto carbon nanopipettes.
- Cyclic voltammetry and double-potential step chronoamperometry (DPSC) to analyze the thin-layer electrochemical regime.
- Evaluation of material properties and catalytic activity for sensing performance.
Main Results:
- Successful fabrication and stabilization of PB-NiHCF modified CNPs.
- Demonstrated stable H2O2 sensing with a linear response up to 500 μM (R2 = 0.996).
- Achieved a limit of detection of 28.9 μM at physiological pH, suitable for in vivo applications.
Conclusions:
- The PB-NiHCF modified CNP provides a stable and effective platform for H2O2 detection in nanoconfined spaces.
- This work establishes a framework for H2O2 detection in thin-layer electrochemical cells, advancing nanoscale electroanalysis.
- Opens new avenues for coulometric sensor development and in vivo single-cell analysis.
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