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Determination of the Empirical Electrokinetic Equilibrium Condition of Microorganisms in Microfluidic Devices

The increased concern regarding emerging pathogens and antibiotic resistance has drawn interest in the development of rapid and robust microfluidic techniques to analyze microorganisms. The novel parameter known as the electrokinetic equilibrium condition ([Formula: see text]) was presented in recen...

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Autores principales: Coll De Peña, Adriana, Hill, Nicole, Lapizco-Encinas, Blanca H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603120/
https://www.ncbi.nlm.nih.gov/pubmed/33086549
http://dx.doi.org/10.3390/bios10100148
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author Coll De Peña, Adriana
Hill, Nicole
Lapizco-Encinas, Blanca H.
author_facet Coll De Peña, Adriana
Hill, Nicole
Lapizco-Encinas, Blanca H.
author_sort Coll De Peña, Adriana
collection PubMed
description The increased concern regarding emerging pathogens and antibiotic resistance has drawn interest in the development of rapid and robust microfluidic techniques to analyze microorganisms. The novel parameter known as the electrokinetic equilibrium condition ([Formula: see text]) was presented in recent studies, providing an approach to analyze microparticles in microchannels employing unique electrokinetic (EK) signatures. While the [Formula: see text] shows great promise, current estimation approaches can be time-consuming or heavily user-dependent for accurate values. The present contribution aims to analyze existing approaches for estimating this parameter and modify the process into an accurate yet simple technique for estimating the EK behavior of microorganisms in insulator-based microfluidic devices. The technique presented here yields the parameter called the empirical electrokinetic equilibrium condition ([Formula: see text]) which works well as a value for initial approximations of trapping conditions in insulator-based EK (iEK) microfluidic systems. A total of six types of microorganisms were analyzed in this study (three bacteria and three bacteriophages). The proposed approach estimated [Formula: see text] values employing images of trapped microorganisms, yielding high reproducibility (SD 5.0–8.8%). Furthermore, stable trapping voltages (sTVs) were estimated from [Formula: see text] values for distinct channel designs to test that this parameter is system-independent and good agreement was obtained when comparing estimated sTVs vs. experimental values (SD 0.3–19.6%). The encouraging results from this work were used to generate an EK library of data, available on our laboratory website. The data in this library can be used to design tailored iEK microfluidic devices for the analysis of microorganisms.
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spelling pubmed-76031202020-11-01 Determination of the Empirical Electrokinetic Equilibrium Condition of Microorganisms in Microfluidic Devices Coll De Peña, Adriana Hill, Nicole Lapizco-Encinas, Blanca H. Biosensors (Basel) Article The increased concern regarding emerging pathogens and antibiotic resistance has drawn interest in the development of rapid and robust microfluidic techniques to analyze microorganisms. The novel parameter known as the electrokinetic equilibrium condition ([Formula: see text]) was presented in recent studies, providing an approach to analyze microparticles in microchannels employing unique electrokinetic (EK) signatures. While the [Formula: see text] shows great promise, current estimation approaches can be time-consuming or heavily user-dependent for accurate values. The present contribution aims to analyze existing approaches for estimating this parameter and modify the process into an accurate yet simple technique for estimating the EK behavior of microorganisms in insulator-based microfluidic devices. The technique presented here yields the parameter called the empirical electrokinetic equilibrium condition ([Formula: see text]) which works well as a value for initial approximations of trapping conditions in insulator-based EK (iEK) microfluidic systems. A total of six types of microorganisms were analyzed in this study (three bacteria and three bacteriophages). The proposed approach estimated [Formula: see text] values employing images of trapped microorganisms, yielding high reproducibility (SD 5.0–8.8%). Furthermore, stable trapping voltages (sTVs) were estimated from [Formula: see text] values for distinct channel designs to test that this parameter is system-independent and good agreement was obtained when comparing estimated sTVs vs. experimental values (SD 0.3–19.6%). The encouraging results from this work were used to generate an EK library of data, available on our laboratory website. The data in this library can be used to design tailored iEK microfluidic devices for the analysis of microorganisms. MDPI 2020-10-19 /pmc/articles/PMC7603120/ /pubmed/33086549 http://dx.doi.org/10.3390/bios10100148 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
Coll De Peña, Adriana
Hill, Nicole
Lapizco-Encinas, Blanca H.
Determination of the Empirical Electrokinetic Equilibrium Condition of Microorganisms in Microfluidic Devices
title Determination of the Empirical Electrokinetic Equilibrium Condition of Microorganisms in Microfluidic Devices
title_full Determination of the Empirical Electrokinetic Equilibrium Condition of Microorganisms in Microfluidic Devices
title_fullStr Determination of the Empirical Electrokinetic Equilibrium Condition of Microorganisms in Microfluidic Devices
title_full_unstemmed Determination of the Empirical Electrokinetic Equilibrium Condition of Microorganisms in Microfluidic Devices
title_short Determination of the Empirical Electrokinetic Equilibrium Condition of Microorganisms in Microfluidic Devices
title_sort determination of the empirical electrokinetic equilibrium condition of microorganisms in microfluidic devices
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7603120/
https://www.ncbi.nlm.nih.gov/pubmed/33086549
http://dx.doi.org/10.3390/bios10100148
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