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Hybrid Integrated Label-Free Chemical and Biological Sensors

Label-free sensors based on electrical, mechanical and optical transduction methods have potential applications in numerous areas of society, ranging from healthcare to environmental monitoring. Initial research in the field focused on the development and optimization of various sensor platforms fab...

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Detalles Bibliográficos
Autores principales: Mehrabani, Simin, Maker, Ashley J., Armani, Andrea M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029679/
https://www.ncbi.nlm.nih.gov/pubmed/24675757
http://dx.doi.org/10.3390/s140405890
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author Mehrabani, Simin
Maker, Ashley J.
Armani, Andrea M.
author_facet Mehrabani, Simin
Maker, Ashley J.
Armani, Andrea M.
author_sort Mehrabani, Simin
collection PubMed
description Label-free sensors based on electrical, mechanical and optical transduction methods have potential applications in numerous areas of society, ranging from healthcare to environmental monitoring. Initial research in the field focused on the development and optimization of various sensor platforms fabricated from a single material system, such as fiber-based optical sensors and silicon nanowire-based electrical sensors. However, more recent research efforts have explored designing sensors fabricated from multiple materials. For example, synthetic materials and/or biomaterials can also be added to the sensor to improve its response toward analytes of interest. By leveraging the properties of the different material systems, these hybrid sensing devices can have significantly improved performance over their single-material counterparts (better sensitivity, specificity, signal to noise, and/or detection limits). This review will briefly discuss some of the methods for creating these multi-material sensor platforms and the advances enabled by this design approach.
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spelling pubmed-40296792014-05-22 Hybrid Integrated Label-Free Chemical and Biological Sensors Mehrabani, Simin Maker, Ashley J. Armani, Andrea M. Sensors (Basel) Article Label-free sensors based on electrical, mechanical and optical transduction methods have potential applications in numerous areas of society, ranging from healthcare to environmental monitoring. Initial research in the field focused on the development and optimization of various sensor platforms fabricated from a single material system, such as fiber-based optical sensors and silicon nanowire-based electrical sensors. However, more recent research efforts have explored designing sensors fabricated from multiple materials. For example, synthetic materials and/or biomaterials can also be added to the sensor to improve its response toward analytes of interest. By leveraging the properties of the different material systems, these hybrid sensing devices can have significantly improved performance over their single-material counterparts (better sensitivity, specificity, signal to noise, and/or detection limits). This review will briefly discuss some of the methods for creating these multi-material sensor platforms and the advances enabled by this design approach. MDPI 2014-03-26 /pmc/articles/PMC4029679/ /pubmed/24675757 http://dx.doi.org/10.3390/s140405890 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Mehrabani, Simin
Maker, Ashley J.
Armani, Andrea M.
Hybrid Integrated Label-Free Chemical and Biological Sensors
title Hybrid Integrated Label-Free Chemical and Biological Sensors
title_full Hybrid Integrated Label-Free Chemical and Biological Sensors
title_fullStr Hybrid Integrated Label-Free Chemical and Biological Sensors
title_full_unstemmed Hybrid Integrated Label-Free Chemical and Biological Sensors
title_short Hybrid Integrated Label-Free Chemical and Biological Sensors
title_sort hybrid integrated label-free chemical and biological sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029679/
https://www.ncbi.nlm.nih.gov/pubmed/24675757
http://dx.doi.org/10.3390/s140405890
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