Intelligent parameters identification on numerical model of EOF-based gated injection in microfluidic channels

Yuanqing Xu, Yulin Deng*, Lina Geng, Jianming He

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a numerical simulation model of electro-osmosis flow (EOF) based gated injection in microfluidic channels is established. Based on which, a control purpose to quantify and locate separated sample is to be realized, in which the key problem is to define the electric field, the injection time and the separation time. In order to give the proper contol parameters, the artificial neural network (ANN) is adopted as an intelligent parameter identifier, in our design, it will give the injection time and the separation time properly if the expectation sample volume and the electric field are given. Tested by the numerical simulation model with 10 random calculation examples, the results indicate that the ANN identifier can give the corresponding control parameters correctly, and the control method on quantifying and locating the separated sample in gated injection can be successfully achieved.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Pages477-481
Number of pages5
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009 - Shanghai, China
Duration: 20 Nov 200922 Nov 2009

Publication series

NameProceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Volume4

Conference

Conference2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009
Country/TerritoryChina
CityShanghai
Period20/11/0922/11/09

Keywords

  • Artificial neural work
  • Electroosmosis flow (EOF)
  • Gated injection
  • Microfluidic chip
  • Numerical modeling

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