Integration of microfluidic system with silicon nanowires biosensor for multiplexed detection

Anran Gao, Pengfei Dai, Na Lu, Tie Li, Yuelin Wang, Samu Hemmila, Pasi Kallio

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

4 Scopus citations

Abstract

This paper propose a novel method of integration microfluidic sample delivery system with silicon nanowire (SiNW) biosensor device, which provide multiplexed detection capability as well as protect the fragile sensing elements from mechanical shocks and surrounding impurities. The SiNWs and PDMS chips were fabricated with complementary metal oxide semiconductor (CMOS) compatibility and low cost methods. They were integrated together by using optimal O2 plasma parameters that enabled rapid and leakage-free bond formation, without additional heating or applied pressure. Capillary action enabled by the hydrophilicity of the channels using polyvinylpyrrolidone (PVP) was also demonstrated to allow analyte solution delivery onto the sensor array directly, exclude the need of using external pumping devices.

Original languageEnglish
Title of host publication2013 International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2013 - Conference Proceedings
PublisherIEEE Computer Society
Pages333-336
Number of pages4
ISBN (Print)9781479912131
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2013 - Suzhou, China
Duration: 26 Aug 201330 Aug 2013

Publication series

Name2013 International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2013 - Conference Proceedings

Conference

Conference2013 International Conference on Manipulation, Manufacturing and Measurement on the Nanoscale, 3M-NANO 2013
Country/TerritoryChina
CitySuzhou
Period26/08/1330/08/13

Keywords

  • O2 plasma
  • SiNW biosensor
  • hydrophilic channel
  • microfluidic system
  • multiplexed detection

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