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Cited by 491

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

A Review on the Electrochemical Sensors and Biosensors Composed of Nanowires as Sensing Material

Open access
Yogeswaran, Umasankar, Chen, Shen-Ming·2008·Sensors

Abstract

The development and application of nanowires for electrochemical sensors and biosensors are reviewed in this article. Next generation sensor platforms will require significant improvements in sensitivity, specificity and parallelism in order to meet the future needs in variety of fields. Sensors made of nanowires exploit some fundamental nanoscopic effect in order to meet these requirements. Nanowires are new materials, which have the characteristic of low weight with extraordinary mechanical, electrical, thermal and multifunctional properties. The advantages such as size scale, aspect ratio and other properties of nanowires are especially apparent in the use of electrical sensors such as electrochemical sensors and in the use of field-effect transistors. The preparation methods of nanowires and their properties are discussed along with their advantages towards electrochemical sensors and biosensors. Some key results from each article are summarized, relating the concept and mechanism behind each sensor, with experimental conditions as well as their behavior at different conditions.

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Crossref · 10.3390/s8010290

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Metadata

Authors
Yogeswaran, U., & Chen, S.-M.
Venue
Sensors
Publisher
MDPI AG
Published
2008-01-21
Volume
8
Issue
1
Pages
290-313
ISSN
1424-8220 (ISSN-L)
OpenAlex
W1972024716
Cited by
491
References
3
FWCI
27.19
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A Review on the Electrochemical Sensors and Biosensors Composed of Nanowires as Sensing Material. https://app.cochat.ai/papers/10.3390/s8010290
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Yogeswaran, U., & Chen, S.-M. (2008). A Review on the Electrochemical Sensors and Biosensors Composed of Nanowires as Sensing Material. Sensors. https://doi.org/10.3390/s8010290

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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.