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Mass Transport Effects in Suspended Waveguide Biosensors Integrated in Microfluidic Channels

Label-free optical biosensors based on integrated photonic devices have demonstrated sensitive and selective detection of biological analytes. Integrating these sensor platforms into microfluidic devices reduces the required sample volume and enables rapid delivery of sample to the sensor surface, t...

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Detalles Bibliográficos
Autores principales: Murthy, Chaitanya R., Armani, Andrea M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522916/
https://www.ncbi.nlm.nih.gov/pubmed/23202163
http://dx.doi.org/10.3390/s121114327
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author Murthy, Chaitanya R.
Armani, Andrea M.
author_facet Murthy, Chaitanya R.
Armani, Andrea M.
author_sort Murthy, Chaitanya R.
collection PubMed
description Label-free optical biosensors based on integrated photonic devices have demonstrated sensitive and selective detection of biological analytes. Integrating these sensor platforms into microfluidic devices reduces the required sample volume and enables rapid delivery of sample to the sensor surface, thereby improving response times. Conventionally, these devices are embedded in or adjacent to the substrate; therefore, the effective sensing area lies within the slow-flow region at the floor of the channel, reducing the efficiency of sample delivery. Recently, a suspended waveguide sensor was developed in which the device is elevated off of the substrate and the sensing region does not rest on the substrate. This geometry places the sensing region in the middle of the parabolic velocity profile, reduces the distance that a particle must travel by diffusion to be detected, and allows binding to both surfaces of the sensor. We use a finite element model to simulate advection, diffusion, and specific binding of interleukin 6, a signaling protein, to this waveguide-based biosensor at a range of elevations within a microfluidic channel. We compare the transient performance of these suspended waveguide sensors with that of traditional planar devices, studying both the detection threshold response time and the time to reach equilibrium. We also develop a theoretical framework for predicting the behavior of these suspended sensors. These simulation and theoretical results provide a roadmap for improving sensor performance and minimizing the amount of sample required to make measurements.
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spelling pubmed-35229162013-01-09 Mass Transport Effects in Suspended Waveguide Biosensors Integrated in Microfluidic Channels Murthy, Chaitanya R. Armani, Andrea M. Sensors (Basel) Article Label-free optical biosensors based on integrated photonic devices have demonstrated sensitive and selective detection of biological analytes. Integrating these sensor platforms into microfluidic devices reduces the required sample volume and enables rapid delivery of sample to the sensor surface, thereby improving response times. Conventionally, these devices are embedded in or adjacent to the substrate; therefore, the effective sensing area lies within the slow-flow region at the floor of the channel, reducing the efficiency of sample delivery. Recently, a suspended waveguide sensor was developed in which the device is elevated off of the substrate and the sensing region does not rest on the substrate. This geometry places the sensing region in the middle of the parabolic velocity profile, reduces the distance that a particle must travel by diffusion to be detected, and allows binding to both surfaces of the sensor. We use a finite element model to simulate advection, diffusion, and specific binding of interleukin 6, a signaling protein, to this waveguide-based biosensor at a range of elevations within a microfluidic channel. We compare the transient performance of these suspended waveguide sensors with that of traditional planar devices, studying both the detection threshold response time and the time to reach equilibrium. We also develop a theoretical framework for predicting the behavior of these suspended sensors. These simulation and theoretical results provide a roadmap for improving sensor performance and minimizing the amount of sample required to make measurements. Molecular Diversity Preservation International (MDPI) 2012-10-25 /pmc/articles/PMC3522916/ /pubmed/23202163 http://dx.doi.org/10.3390/s121114327 Text en © 2012 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
Murthy, Chaitanya R.
Armani, Andrea M.
Mass Transport Effects in Suspended Waveguide Biosensors Integrated in Microfluidic Channels
title Mass Transport Effects in Suspended Waveguide Biosensors Integrated in Microfluidic Channels
title_full Mass Transport Effects in Suspended Waveguide Biosensors Integrated in Microfluidic Channels
title_fullStr Mass Transport Effects in Suspended Waveguide Biosensors Integrated in Microfluidic Channels
title_full_unstemmed Mass Transport Effects in Suspended Waveguide Biosensors Integrated in Microfluidic Channels
title_short Mass Transport Effects in Suspended Waveguide Biosensors Integrated in Microfluidic Channels
title_sort mass transport effects in suspended waveguide biosensors integrated in microfluidic channels
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522916/
https://www.ncbi.nlm.nih.gov/pubmed/23202163
http://dx.doi.org/10.3390/s121114327
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