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Cited by 1,248

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Electrochemical Impedance Spectroscopy

Chang, Byoung-Yong, Park, Su-Moon·2010·Annual Review of Analytical Chemistry

Abstract

This review describes recent advances in electrochemical impedance spectroscopy (EIS) with an emphasis on its novel applications to various electrochemistry-related problems. Section 1 discusses the development of new EIS techniques to reduce measurement time. For this purpose, various forms of multisine EIS techniques were first developed via a noise signal synthesized by mixing ac waves of various frequencies, followed by fast Fourier transform of the signal and the resulting current. Subsequently, an entirely new concept was introduced in which true white noise was used as an excitation source, followed by Fourier transform of both excitation and response signals. Section 2 describes novel applications of the newly developed techniques to time-resolved impedance measurements as well as to impedance imaging. Section 3 is devoted to recent applications of EIS techniques, specifically traditional measurements in various fields with a special emphasis on biosensor detections.

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Crossref · 10.1146/annurev.anchem.012809.102211

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Metadata

Authors
Chang, B.-Y., & Park, S.-M.
Venue
Annual Review of Analytical Chemistry
Published
2010-06-01
Volume
3
Issue
1
Pages
207-229
ISSN
  • 1936-1327 (ISSN-L)
  • 1936-1335
OpenAlex
W2171543143
Cited by
1,248
References
48
FWCI
2.86
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Electrochemical Impedance Spectroscopy. https://app.cochat.ai/papers/10.1146/annurev.anchem.012809.102211
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Chang, B.-Y., & Park, S.-M. (2010). Electrochemical Impedance Spectroscopy. Annual Review of Analytical Chemistry. https://doi.org/10.1146/annurev.anchem.012809.102211

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.