Magnetoresistive performance and comparison of supermagnetic nanoparticles on giant magnetoresistive sensor-based detection system

Wei Wang, Yi Wang, Liang Tu, Yinglong Feng, Todd Klein, Jian Ping Wang

Research output: Contribution to journalArticlepeer-review

62 Scopus citations

Abstract

Giant magnetoresistive (GMR) biosensors have emerged as powerful tools for ultrasensitive, multiplexed, real-time electrical readout, and rapid biological/chemical detection while combining with magnetic particles. Finding appropriate magnetic nanoparticles (MNPs) and its influences on the detection signal is a vital aspect to the GMR bio-sensing technology. Here, we report a GMR sensor based detection system capable of stable and convenient connection, and real-time measurement. Five different types of MNPs with sizes ranging from 10 to 100â .nm were investigated for GMR biosensing. The experiments were accomplished with the aid of DNA hybridization and detection architecture on GMR sensor surface. We found that different MNPs markedly affected the final detection signal, depending on their characteristics of magnetic moment, size, and surface-based binding ability, etc. This work may provide a useful guidance in selecting or preparing MNPs to enhance the sensitivity of GMR biosensors, and eventually lead to a versatile and portable device for molecular diagnostics.

Original languageEnglish (US)
Article number5716
JournalScientific reports
Volume4
DOIs
StatePublished - Jul 21 2014

Bibliographical note

Funding Information:
This work was partially supported by the U.S. Department of Defense under the Ovarian Cancer Translational Pilot Award, Institute of Engineering in Medicine seed grant, Office for Technology Commercialization (OTC) Innovation grant and the resident fellows grant of the Institute on the Environment (IonE) at the University of Minneosta. Parts of this work were carried out in the Characterization Facility, University of Minnesota, which receives partial support from National Science Foundation through the MRSEC program.

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