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Microfluidic modeling and design for continuous flow in electrokinetic mixing‐reaction channels
Author(s) -
He Xiang,
Hauan Steinar
Publication year - 2006
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.10985
Subject(s) - microfluidics , discretization , mixing (physics) , computer science , channel (broadcasting) , electrokinetic phenomena , flow (mathematics) , systems design , optimal design , set (abstract data type) , biological system , nanotechnology , materials science , mechanics , mathematics , physics , mathematical analysis , computer network , software engineering , quantum mechanics , machine learning , biology , programming language
Advances in microfluidics have inspired novel designs of LoC systems with integrated functionality and improved thermal and mass‐transfer characteristics. As important functional subsystems of LoC, microfluidic reaction systems can significantly reduce the need for space, materials, and energy, and often have shorter response times. Iterative design studies require accurate and fast models for subsystems. Here, we present two PFR‐network‐based models and a method of lines model for reaction subsystems. These two models employ two different discretization methods to reduce the set of PDEs into a system of coupled ODEs. We use our model to analyze an example micro mixing‐reaction system. The results illustrate how reaction channel length and the electric potential difference influence the product yields and selectivities. These models are ready to be combined other subsystem models for the design of integrated LoC systems.