A linear slope analyzing strategy of GMR sensor transfer curve for the detection of superparamagnetic nanoparticles

Yimeng Du, P. W.T. Pong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Superparamagnetic nanoparticles are popular magnetic label materials for the magnetic biodetection technologies. The accurate detection of superparamagnetic nanoparticles is one of the key aspects for high performance magnetic biodetection platform. An improved detection protocol of superparamagnetic nanoparticles using giant magnetoresistance (GMR) sensors were studied in this paper. In this study, the as-synthesized iron oxide nanoparticles (IONPs) with superparamagnetic behavior were detected by GMR sensors (GF708, Sensitec GmbH). The sensor transfer curves were measured before and after depositing IONPs onto sensor surfaces. The linear range of the transfer curves were analyzed, and the change of the slope indicated the quantity of IONPs on sensor surfaces.

Original languageEnglish (US)
Title of host publication2016 5th International Symposium on Next-Generation Electronics, ISNE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509024391
DOIs
StatePublished - Aug 12 2016
Externally publishedYes
Event5th International Symposium on Next-Generation Electronics, ISNE 2016 - Hsinchu, Taiwan, Province of China
Duration: May 4 2016May 6 2016

Publication series

Name2016 5th International Symposium on Next-Generation Electronics, ISNE 2016

Conference

Conference5th International Symposium on Next-Generation Electronics, ISNE 2016
Country/TerritoryTaiwan, Province of China
CityHsinchu
Period5/4/165/6/16

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Keywords

  • Giant magnetoresistance (GMR) sensors
  • magnetic biodetection
  • superparamagnetic nanoparticles

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