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Cited by 243

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Electrochemical Sensing of Explosives

Wang, Joseph·2007·Electroanalysis

Abstract

This article reviews recent advances in electrochemical sensing and detection of explosive substances. Escalating threats of terrorist activities and growing environmental concerns have generated major demands for innovative field‐deployable tools for detecting explosives in a fast, sensitive, reliable and simple manner. Field detection of explosive substances requires that a powerful analytical performance be coupled to miniaturized low‐cost instrumentation. Electrochemical devices offer attractive opportunities for addressing the growing explosive sensing needs. The advantages of electrochemical systems include high sensitivity and selectivity, speed, a wide linear range, compatibility with modern microfabrication techniques, minimal space and power requirements, and low‐cost instrumentation. The inherent electroactivity of nitroaromatic, nitramine and nitroester compounds makes them ideal candidates for electrochemical detection. Recent activity in various laboratories has led to the development of disposable sensor strips, novel electrode materials, submersible remote sensors, and electrochemical detectors for microchip (‘Lab‐on‐Chip’) devices for on‐site electrochemical detection of explosive substances. The attractive behavior of these electrochemical monitoring systems makes them very promising for addressing major security and environmental problems.

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Metadata

Authors
Wang, J.
Venue
Electroanalysis
Publisher
Wiley
Published
2007-02
Volume
19
Issue
4
Pages
415-423
ISSN
  • 1040-0397 (ISSN-L)
  • 1521-4109
OpenAlex
W2033654208
Cited by
243
References
0
FWCI
13.54
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Electrochemical Sensing of Explosives. https://app.cochat.ai/papers/10.1002/elan.200603748
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Wang, J. (2007). Electrochemical Sensing of Explosives. Electroanalysis. https://doi.org/10.1002/elan.200603748

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.