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Cited by 502

The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.

Immobilization Techniques in the Fabrication of Nanomaterial-Based Electrochemical Biosensors: A Review

Open access
Putzbach, William, Ronkainen, Niina·2013·Sensors

Abstract

The evolution of 1st to 3rd generation electrochemical biosensors reflects a simplification and enhancement of the transduction pathway. However, in recent years, modification of the transducer with nanomaterials has become increasingly studied and imparts many advantages. The sensitivity and overall performance of enzymatic biosensors has improved tremendously as a result of incorporating nanomaterials in their fabrication. Given the unique and favorable qualities of gold nanoparticles, graphene and carbon nanotubes as applied to electrochemical biosensors, a consolidated survey of the different methods of nanomaterial immobilization on transducer surfaces and enzyme immobilization on these species is beneficial and timely. This review encompasses modification of enzymatic biosensors with gold nanoparticles, carbon nanotubes, and graphene.

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Crossref · 10.3390/s130404811

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Metadata

Authors
Putzbach, W., & Ronkainen, N.
Venue
Sensors
Publisher
MDPI AG
Published
2013-04-11
Volume
13
Issue
4
Pages
4811-4840
ISSN
1424-8220 (ISSN-L)
OpenAlex
W2015840974
Cited by
502
References
73
FWCI
18.77
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Immobilization Techniques in the Fabrication of Nanomaterial-Based Electrochemical Biosensors: A Review. https://app.cochat.ai/papers/10.3390/s130404811
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Putzbach, W., & Ronkainen, N. (2013). Immobilization Techniques in the Fabrication of Nanomaterial-Based Electrochemical Biosensors: A Review. Sensors. https://doi.org/10.3390/s130404811

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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.