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Continuous, quantifiable, and simple osmotic preconcentration and sensing within microfluidic devices
Insurmountable detection challenges will impede the development of many of the next-generation of lab-on-a-chip devices (e.g., point-of-care and real-time health monitors). Here we present the first membrane-based, microfluidic sample preconcentration method that is continuous, quantifiable, simple,...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334995/ https://www.ncbi.nlm.nih.gov/pubmed/30650158 http://dx.doi.org/10.1371/journal.pone.0210286 |
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author | Jajack, Andrew Stamper, Isaac Gomez, Eliot Brothers, Michael Begtrup, Gavi Heikenfeld, Jason |
author_facet | Jajack, Andrew Stamper, Isaac Gomez, Eliot Brothers, Michael Begtrup, Gavi Heikenfeld, Jason |
author_sort | Jajack, Andrew |
collection | PubMed |
description | Insurmountable detection challenges will impede the development of many of the next-generation of lab-on-a-chip devices (e.g., point-of-care and real-time health monitors). Here we present the first membrane-based, microfluidic sample preconcentration method that is continuous, quantifiable, simple, and capable of working with any analyte. Forward osmosis rapidly concentrates analytes by removing water from a stream of sample fluid. 10-100X preconcentration is possible in mere minutes. This requires careful selection of the semi-permeable membrane and draw molecule; therefore, the osmosis performance of several classes of membranes and draw molecules were systematically optimized. Proof-of-concept preconcentration devices were characterized based on their concentration ability and fouling resistance. In-silico theoretical modeling predicts the experimental findings and provides an engineering toolkit for future designs. With this toolkit, inexpensive ready-for-manufacturing prototypes were also developed. These devices provide broad-spectrum detection improvements across many analytes and sensing modalities, enabling next-generation lab-on-a-chip devices. |
format | Online Article Text |
id | pubmed-6334995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-63349952019-01-31 Continuous, quantifiable, and simple osmotic preconcentration and sensing within microfluidic devices Jajack, Andrew Stamper, Isaac Gomez, Eliot Brothers, Michael Begtrup, Gavi Heikenfeld, Jason PLoS One Research Article Insurmountable detection challenges will impede the development of many of the next-generation of lab-on-a-chip devices (e.g., point-of-care and real-time health monitors). Here we present the first membrane-based, microfluidic sample preconcentration method that is continuous, quantifiable, simple, and capable of working with any analyte. Forward osmosis rapidly concentrates analytes by removing water from a stream of sample fluid. 10-100X preconcentration is possible in mere minutes. This requires careful selection of the semi-permeable membrane and draw molecule; therefore, the osmosis performance of several classes of membranes and draw molecules were systematically optimized. Proof-of-concept preconcentration devices were characterized based on their concentration ability and fouling resistance. In-silico theoretical modeling predicts the experimental findings and provides an engineering toolkit for future designs. With this toolkit, inexpensive ready-for-manufacturing prototypes were also developed. These devices provide broad-spectrum detection improvements across many analytes and sensing modalities, enabling next-generation lab-on-a-chip devices. Public Library of Science 2019-01-16 /pmc/articles/PMC6334995/ /pubmed/30650158 http://dx.doi.org/10.1371/journal.pone.0210286 Text en © 2019 Jajack et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Jajack, Andrew Stamper, Isaac Gomez, Eliot Brothers, Michael Begtrup, Gavi Heikenfeld, Jason Continuous, quantifiable, and simple osmotic preconcentration and sensing within microfluidic devices |
title | Continuous, quantifiable, and simple osmotic preconcentration and sensing within microfluidic devices |
title_full | Continuous, quantifiable, and simple osmotic preconcentration and sensing within microfluidic devices |
title_fullStr | Continuous, quantifiable, and simple osmotic preconcentration and sensing within microfluidic devices |
title_full_unstemmed | Continuous, quantifiable, and simple osmotic preconcentration and sensing within microfluidic devices |
title_short | Continuous, quantifiable, and simple osmotic preconcentration and sensing within microfluidic devices |
title_sort | continuous, quantifiable, and simple osmotic preconcentration and sensing within microfluidic devices |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334995/ https://www.ncbi.nlm.nih.gov/pubmed/30650158 http://dx.doi.org/10.1371/journal.pone.0210286 |
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