Superparamagnetic nanoparticles (MNPs) have been utilized in biomedical sensing, detection, therapeutics, and diagnostics due to their unique magnetic response under different driving fields. In this letter, we report a multi-tracer tracking method that uses different kinds of MNPs as magnetic tracers along with two alternating magnetic fields that can be potentially used to build magnetic-based flow cytometry. By applying two driving fields at frequency and to MNPs, the response signal is measured at the combinatorial frequencies such as (3rd harmonics), (5th harmonics), (7th harmonics), and so on. Each MNP has its own signature of phase and amplitude, and it is possible to differentiate individual MNPs in a mixture. We theoretically demonstrated colorizing up to 4-MNP tracers in one mixture with an error rate lower than 10%. The performance of multi-tracer imaging can be optimized by increasing the driving field frequency, choosing MNPs with higher saturation magnetization, and using MNP tracers with more centralized size distribution.
Skip Nav Destination
CHORUS
Article navigation
26 October 2015
Research Article|
October 26 2015
A simulation study on superparamagnetic nanoparticle based multi-tracer tracking Available to Purchase
Kai Wu
;
Kai Wu
1Department of Electrical Engineering,
University of Minnesota
, 200 Union Street SE, Minneapolis, Minnesota 55455, USA
Search for other works by this author on:
Akash Batra;
Akash Batra
2Department of Mechanical Engineering,
University of Wisconsin-Madison
, 1513 University Avenue, Madison, Wisconsin 53706, USA
Search for other works by this author on:
Shray Jain
;
Shray Jain
1Department of Electrical Engineering,
University of Minnesota
, 200 Union Street SE, Minneapolis, Minnesota 55455, USA
Search for other works by this author on:
Clark Ye;
Clark Ye
1Department of Electrical Engineering,
University of Minnesota
, 200 Union Street SE, Minneapolis, Minnesota 55455, USA
Search for other works by this author on:
Jinming Liu;
Jinming Liu
1Department of Electrical Engineering,
University of Minnesota
, 200 Union Street SE, Minneapolis, Minnesota 55455, USA
Search for other works by this author on:
Jian-Ping Wang
Jian-Ping Wang
a)
1Department of Electrical Engineering,
University of Minnesota
, 200 Union Street SE, Minneapolis, Minnesota 55455, USA
Search for other works by this author on:
,
,
,
,
,
Akash Batra
2
Shray Jain
1
Clark Ye
1
Jinming Liu
1
Jian-Ping Wang
1,a)
1Department of Electrical Engineering,
University of Minnesota
, 200 Union Street SE, Minneapolis, Minnesota 55455, USA
2Department of Mechanical Engineering,
University of Wisconsin-Madison
, 1513 University Avenue, Madison, Wisconsin 53706, USA
a)
Author to whom correspondence should be addressed. Electronic mail: [email protected].
Appl. Phys. Lett. 107, 173701 (2015)
Article history
Received:
September 07 2015
Accepted:
October 15 2015
Citation
Kai Wu, Akash Batra, Shray Jain, Clark Ye, Jinming Liu, Jian-Ping Wang; A simulation study on superparamagnetic nanoparticle based multi-tracer tracking. Appl. Phys. Lett. 26 October 2015; 107 (17): 173701. https://doi.org/10.1063/1.4934743
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
Attosecond physics and technology
O. Alexander, D. Ayuso, et al.
Significant improvement of breakdown voltage of Al0.86Ga0.14N Schottky barrier diodes by atomic layer etching
Tingang Liu, Zhiyuan Liu, et al.
Roadmap on photonic metasurfaces
Sebastian A. Schulz, Rupert. F. Oulton, et al.
Related Content
Superparamagnetic nanoparticle-based viscosity test
Appl. Phys. Lett. (August 2015)
A novel characterization technique for superparamagnetic iron oxide nanoparticles: The superparamagnetic quantifier, compared with magnetic particle spectroscopy
Rev. Sci. Instrum. (February 2019)
Slew-rate dependence of tracer magnetization response in magnetic particle imaging
J. Appl. Phys. (October 2014)
Magnetic imaging method based on magnetic relaxation of magnetic nanoparticles
J. Appl. Phys. (May 2009)
Measurement of fluid flow generated by artificial cilia
Biomicrofluidics (July 2011)