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Cited by 424

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Nanomaterial‐Based Amplified Transduction of Biomolecular Interactions

Wang, Joseph·2005·Small

Abstract

This article reviews progress in the development of nanomaterials for amplified biosensing and discusses different nanomaterial‐based bioamplification strategies. Signal amplification has attracted considerable attention for ultrasensitive detection of disease markers and biothreat agents. The emergence of nanotechnology is opening new horizons for highly sensitive bioaffinity and biocatalytic assays and for novel biosensor protocols that employ electronic, optical, or microgravimetric signal transduction. Nucleic acids and antibodies functionalized with metal or semiconductor nanoparticles have been employed as amplifying tags for the detection of DNA and proteins. The coupling of different nanomaterial‐based amplification platforms and amplification processes dramatically enhances the intensity of the analytical signal and leads to ultrasensitive bioassays. The successful realization of the new nanoparticle‐based signal amplification strategies requires proper attention to nonspecific adsorption issues. The implications of such nanoscale materials on amplified biodetection protocols and on the development of modern biosensors are discussed.

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Metadata

Authors
Wang, J.
Venue
Small
Publisher
Wiley
Published
2005-09-23
Volume
1
Issue
11
Pages
1036-1043
ISSN
  • 1613-6810 (ISSN-L)
  • 1613-6829
OpenAlex
W2135072790
Cited by
424
References
2
FWCI
11.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nanomaterial‐Based Amplified Transduction of Biomolecular Interactions. https://app.cochat.ai/papers/10.1002/smll.200500214
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Wang, J. (2005). Nanomaterial‐Based Amplified Transduction of Biomolecular Interactions. Small. https://doi.org/10.1002/smll.200500214

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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.