Modeling and experiments of magneto-nanosensors for diagnostics of radiation exposure and cancer

Dokyoon Kim; Jung Rok Lee; Eric Shen; Shan X. Wang

doi:10.1007/s10544-012-9678-z

Modeling and experiments of magneto-nanosensors for diagnostics of radiation exposure and cancer

Dokyoon Kim, Jung Rok Lee, Eric Shen, Shan X. Wang

Division of Mechanical and Biomedical Engineering

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

We present a resistive network model, protein assay data, and outlook of the giant magnetoresistive (GMR) spin-valve magneto-nanosensor platform ideal for multiplexed detection of protein biomarkers in solutions. The magneto-nanosensors are designed to have optimal performance considering several factors such as sensor dimension, shape anisotropy, and magnetic nanoparticle tags. The resistive network model indicates that thinner spin-valve sensors with narrower width lead to higher signals from magnetic nanoparticle tags. Standard curves and real-time measurements showed a sensitivity of ~10 pM for phosphorylated-structural maintenance of chromosome 1 (phosphor-SMC1), ~53 fM for granulocyte colony stimulation factor (GCSF), and ~460 fM for interleukin-6 (IL6), which are among the representative biomarkers for radiation exposure and cancer.

Original language	English
Pages (from-to)	665-671
Number of pages	7
Journal	Biomedical Microdevices
Volume	15
Issue number	4
DOIs	https://doi.org/10.1007/s10544-012-9678-z
State	Published - Aug 2013

Bibliographical note

Funding Information:
Acknowledgments The authors thank Dr. Richard G. Ivey at Fred Hutchinson Cancer Research Center in Seattle for his generous support of phosphor-SMC1 antibodies and standard. This work was supported, in part, by the United States National Institute of Health (grants U54CA143907, U54CA151459, R21AI085566, and R33CA138330), the United States National Science Foundation (grant ECCS-0801385-000), a Gates Foundation Grand Challenge Exploration Award, and Stanford Bio-X Program. Correspondence and requests for materials should be addressed to S.X.W.

Keywords

Cancer biomarker
Immunoassay
Magnetic nanoparticles
Nanosensor
Radiation biomarker

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abstract = "We present a resistive network model, protein assay data, and outlook of the giant magnetoresistive (GMR) spin-valve magneto-nanosensor platform ideal for multiplexed detection of protein biomarkers in solutions. The magneto-nanosensors are designed to have optimal performance considering several factors such as sensor dimension, shape anisotropy, and magnetic nanoparticle tags. The resistive network model indicates that thinner spin-valve sensors with narrower width lead to higher signals from magnetic nanoparticle tags. Standard curves and real-time measurements showed a sensitivity of ~10 pM for phosphorylated-structural maintenance of chromosome 1 (phosphor-SMC1), ~53 fM for granulocyte colony stimulation factor (GCSF), and ~460 fM for interleukin-6 (IL6), which are among the representative biomarkers for radiation exposure and cancer.",

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author = "Dokyoon Kim and Lee, {Jung Rok} and Eric Shen and Wang, {Shan X.}",

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AB - We present a resistive network model, protein assay data, and outlook of the giant magnetoresistive (GMR) spin-valve magneto-nanosensor platform ideal for multiplexed detection of protein biomarkers in solutions. The magneto-nanosensors are designed to have optimal performance considering several factors such as sensor dimension, shape anisotropy, and magnetic nanoparticle tags. The resistive network model indicates that thinner spin-valve sensors with narrower width lead to higher signals from magnetic nanoparticle tags. Standard curves and real-time measurements showed a sensitivity of ~10 pM for phosphorylated-structural maintenance of chromosome 1 (phosphor-SMC1), ~53 fM for granulocyte colony stimulation factor (GCSF), and ~460 fM for interleukin-6 (IL6), which are among the representative biomarkers for radiation exposure and cancer.

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Modeling and experiments of magneto-nanosensors for diagnostics of radiation exposure and cancer

Abstract

Bibliographical note

Keywords

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