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Part of book or chapter of book . 2025 . Peer-reviewed
License: CC BY
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ZnO Nanowires for Biosensing Applications

Authors: G.M. Mehedi Hossain; Daniel Garza; Emilio Chavez; Ahmed Hasnain Jalal; Fahmida Alam;

ZnO Nanowires for Biosensing Applications

Abstract

Zinc oxide Nanowires (ZnO-NWs) are promising biosensor materials and hold the key to overcoming challenges in the field. This chapter provides an introductory overview of biosensing technology, focusing on the fundamental principles and comparing ZnO-NWs with other nanostructures regarding the surface area, reactivity, electrical properties, charge transport behavior, optical, magnetic, and piezoelectric properties, and mechanical flexibility. Providing the synthesis and characterization methods, ZnO-NWs’ biosensing processes are also elaborated on surface modification for selectivity, integration with microfluidic systems, enhancing signal transduction, and connecting with biological elements like enzymes, antibodies, and DNA. The chapter also discusses the applications of ZnO-NWs-based biosensors in clinical diagnostics, environment monitoring, and agricultural and food safety. It investigates some case studies and challenges in practical deployments. It emphasizes how ZnO-NWs can address these challenges, such as stability, reproducibility, scalability, and integration with electronic devices. Adequate emerging trends that include the utilization of machine learning (ML) and artificial intelligence (AI) for the further enhancement of sensing performance and the prospects of ZnO-NWs in multifunctional sensor platforms are also presented, with an overview of how ZnO-NWs have been the focus for significant impacts on biosensing. Also presented in this chapter are potential breakthroughs and future research directions.

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
hybrid