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Real-Time Detection of Slug Velocity in Microchannels

Microfluidics processes play a central role in the design of portable devices for biological and chemical samples analysis. The bottleneck in this technological evolution is the lack of low cost detection systems and control strategies easily adaptable in different operative conditions, able to guar...

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Autores principales: Gagliano, Salvina, Stella, Giovanna, Bucolo, Maide
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7143116/
https://www.ncbi.nlm.nih.gov/pubmed/32111020
http://dx.doi.org/10.3390/mi11030241
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author Gagliano, Salvina
Stella, Giovanna
Bucolo, Maide
author_facet Gagliano, Salvina
Stella, Giovanna
Bucolo, Maide
author_sort Gagliano, Salvina
collection PubMed
description Microfluidics processes play a central role in the design of portable devices for biological and chemical samples analysis. The bottleneck in this technological evolution is the lack of low cost detection systems and control strategies easily adaptable in different operative conditions, able to guarantee the processes reproducibility and reliability, and suitable for on-chip applications. In this work, a methodology for velocity detection of two-phase flow is presented in microchannels. The approach presented is based on a low-cost optical signals monitoring setup. The slug flow generated by the interaction of two immiscible fluids {air and water} in two microchannels was investigated. To verify the reliability of the detection systems, the flow nonlinearity was enhanced by using curved geometries and microchannel diameter greater than 100 [Formula: see text] m. The optical signals were analyzed by using an approach in a time domain, to extract the slug velocity, and one in the frequency domain, to compute the slug frequency. It was possible to distinguish the water and air slugs velocity and frequency. A relation between these two parameters was also numerically established. The results obtained represent an important step in the design of non-invasive, low-cost portable systems for micro-flow analysis, in order to prove that the developed methodology was implemented to realize a platform, easy to be integrated in a System-on-a-Chip, for the real-time slug flow velocity detection. The platform performances were successfully validated in different operative conditions.
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spelling pubmed-71431162020-04-14 Real-Time Detection of Slug Velocity in Microchannels Gagliano, Salvina Stella, Giovanna Bucolo, Maide Micromachines (Basel) Article Microfluidics processes play a central role in the design of portable devices for biological and chemical samples analysis. The bottleneck in this technological evolution is the lack of low cost detection systems and control strategies easily adaptable in different operative conditions, able to guarantee the processes reproducibility and reliability, and suitable for on-chip applications. In this work, a methodology for velocity detection of two-phase flow is presented in microchannels. The approach presented is based on a low-cost optical signals monitoring setup. The slug flow generated by the interaction of two immiscible fluids {air and water} in two microchannels was investigated. To verify the reliability of the detection systems, the flow nonlinearity was enhanced by using curved geometries and microchannel diameter greater than 100 [Formula: see text] m. The optical signals were analyzed by using an approach in a time domain, to extract the slug velocity, and one in the frequency domain, to compute the slug frequency. It was possible to distinguish the water and air slugs velocity and frequency. A relation between these two parameters was also numerically established. The results obtained represent an important step in the design of non-invasive, low-cost portable systems for micro-flow analysis, in order to prove that the developed methodology was implemented to realize a platform, easy to be integrated in a System-on-a-Chip, for the real-time slug flow velocity detection. The platform performances were successfully validated in different operative conditions. MDPI 2020-02-26 /pmc/articles/PMC7143116/ /pubmed/32111020 http://dx.doi.org/10.3390/mi11030241 Text en © 2020 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gagliano, Salvina
Stella, Giovanna
Bucolo, Maide
Real-Time Detection of Slug Velocity in Microchannels
title Real-Time Detection of Slug Velocity in Microchannels
title_full Real-Time Detection of Slug Velocity in Microchannels
title_fullStr Real-Time Detection of Slug Velocity in Microchannels
title_full_unstemmed Real-Time Detection of Slug Velocity in Microchannels
title_short Real-Time Detection of Slug Velocity in Microchannels
title_sort real-time detection of slug velocity in microchannels
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7143116/
https://www.ncbi.nlm.nih.gov/pubmed/32111020
http://dx.doi.org/10.3390/mi11030241
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