Modeling and optimization of a multi-enzyme electrokinetically driven multiplexed microchip for simultaneous detection of sugars
A model-based methodology was developed to optimize microfluidic chips for the simultaneous enzymatic quantification of sucrose, d -glucose and d -fructose in a single microfluidic channel with an integrated optical detection system. The assays were based on measuring the change in concentration of...
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Veröffentlicht in: | Microfluidics and nanofluidics 2009-09, Vol.7 (3), p.393-406 |
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creator | Atalay, Yegermal Tesfaw Verboven, Pieter Vermeir, Steven Vergauwe, Nicolas Nicolaï, Bart Lammertyn, Jeroen |
description | A model-based methodology was developed to optimize microfluidic chips for the simultaneous enzymatic quantification of sucrose,
d
-glucose and
d
-fructose in a single microfluidic channel with an integrated optical detection system. The assays were based on measuring the change in concentration of the reaction product NADH, which is stoichiometrically related to the concentration of those components via cascade of specific enzymatic reactions. A reduced order mathematical model that combines species transport, enzyme reaction, and electrokinetic bulk flow was developed to describe the operation of the microfluidic device. Using this model, the device was optimized to minimize sensor response time and maximize signal output by manipulating the process conditions such as sample and reagent volume and flow rate. According to this simulation study, all sugars were quantified within 2.5 min in the optimized microchip. A parallel implementation of the assays can further improve the throughput. In addition, the amount of consumed reagents was drastically reduced compared to microplate format assays. The methodology is generic and can easily be adapted to other enzymatic microfluidic chips. |
doi_str_mv | 10.1007/s10404-008-0393-2 |
format | Article |
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d
-glucose and
d
-fructose in a single microfluidic channel with an integrated optical detection system. The assays were based on measuring the change in concentration of the reaction product NADH, which is stoichiometrically related to the concentration of those components via cascade of specific enzymatic reactions. A reduced order mathematical model that combines species transport, enzyme reaction, and electrokinetic bulk flow was developed to describe the operation of the microfluidic device. Using this model, the device was optimized to minimize sensor response time and maximize signal output by manipulating the process conditions such as sample and reagent volume and flow rate. According to this simulation study, all sugars were quantified within 2.5 min in the optimized microchip. A parallel implementation of the assays can further improve the throughput. In addition, the amount of consumed reagents was drastically reduced compared to microplate format assays. The methodology is generic and can easily be adapted to other enzymatic microfluidic chips.</description><identifier>ISSN: 1613-4982</identifier><identifier>EISSN: 1613-4990</identifier><identifier>DOI: 10.1007/s10404-008-0393-2</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Analytical Chemistry ; Biological and medical sciences ; Biomedical Engineering and Bioengineering ; Biosensors ; Biotechnology ; Engineering ; Engineering Fluid Dynamics ; Flow rates ; Fundamental and applied biological sciences. Psychology ; Mathematical models ; Methods. Procedures. Technologies ; Nanotechnology and Microengineering ; Optimization ; Reagents ; Research Paper ; Studies ; Sugar ; Various methods and equipments</subject><ispartof>Microfluidics and nanofluidics, 2009-09, Vol.7 (3), p.393-406</ispartof><rights>Springer-Verlag 2008</rights><rights>2009 INIST-CNRS</rights><rights>Springer-Verlag 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c346t-4d41301c4b0b05269df6da1b9e35088e2d8802fb896c257742321230be0a82363</citedby><cites>FETCH-LOGICAL-c346t-4d41301c4b0b05269df6da1b9e35088e2d8802fb896c257742321230be0a82363</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10404-008-0393-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10404-008-0393-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,41486,42555,51317</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21927040$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Atalay, Yegermal Tesfaw</creatorcontrib><creatorcontrib>Verboven, Pieter</creatorcontrib><creatorcontrib>Vermeir, Steven</creatorcontrib><creatorcontrib>Vergauwe, Nicolas</creatorcontrib><creatorcontrib>Nicolaï, Bart</creatorcontrib><creatorcontrib>Lammertyn, Jeroen</creatorcontrib><title>Modeling and optimization of a multi-enzyme electrokinetically driven multiplexed microchip for simultaneous detection of sugars</title><title>Microfluidics and nanofluidics</title><addtitle>Microfluid Nanofluid</addtitle><description>A model-based methodology was developed to optimize microfluidic chips for the simultaneous enzymatic quantification of sucrose,
d
-glucose and
d
-fructose in a single microfluidic channel with an integrated optical detection system. The assays were based on measuring the change in concentration of the reaction product NADH, which is stoichiometrically related to the concentration of those components via cascade of specific enzymatic reactions. A reduced order mathematical model that combines species transport, enzyme reaction, and electrokinetic bulk flow was developed to describe the operation of the microfluidic device. Using this model, the device was optimized to minimize sensor response time and maximize signal output by manipulating the process conditions such as sample and reagent volume and flow rate. According to this simulation study, all sugars were quantified within 2.5 min in the optimized microchip. A parallel implementation of the assays can further improve the throughput. In addition, the amount of consumed reagents was drastically reduced compared to microplate format assays. 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d
-glucose and
d
-fructose in a single microfluidic channel with an integrated optical detection system. The assays were based on measuring the change in concentration of the reaction product NADH, which is stoichiometrically related to the concentration of those components via cascade of specific enzymatic reactions. A reduced order mathematical model that combines species transport, enzyme reaction, and electrokinetic bulk flow was developed to describe the operation of the microfluidic device. Using this model, the device was optimized to minimize sensor response time and maximize signal output by manipulating the process conditions such as sample and reagent volume and flow rate. According to this simulation study, all sugars were quantified within 2.5 min in the optimized microchip. A parallel implementation of the assays can further improve the throughput. In addition, the amount of consumed reagents was drastically reduced compared to microplate format assays. The methodology is generic and can easily be adapted to other enzymatic microfluidic chips.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><doi>10.1007/s10404-008-0393-2</doi><tpages>14</tpages></addata></record> |
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subjects | Analytical Chemistry Biological and medical sciences Biomedical Engineering and Bioengineering Biosensors Biotechnology Engineering Engineering Fluid Dynamics Flow rates Fundamental and applied biological sciences. Psychology Mathematical models Methods. Procedures. Technologies Nanotechnology and Microengineering Optimization Reagents Research Paper Studies Sugar Various methods and equipments |
title | Modeling and optimization of a multi-enzyme electrokinetically driven multiplexed microchip for simultaneous detection of sugars |
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