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Development of a Sensitive Induction-Based Magnetic Nanoparticle Biodetection Method

RISE Acreo, SE-411 33 Göteborg, Sweden
Department of Microtechnology and Nanoscience–MC2, Chalmers University of Technology, SE-412 96 Göteborg, Sweden
Department of Engineering Sciences, Uppsala University, The Ångström Laboratory, SE-751 21 Uppsala, Sweden
Author to whom correspondence should be addressed.
Nanomaterials 2018, 8(11), 887;
Received: 2 October 2018 / Revised: 25 October 2018 / Accepted: 26 October 2018 / Published: 1 November 2018
(This article belongs to the Special Issue Magnetic Nanoparticles in Biological Applications)
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We developed a novel biodetection method for influenza virus based on AC magnetic susceptibility measurement techniques (the DynoMag induction technique) together with functionalized multi-core magnetic nanoparticles. The sample consisting of an incubated mixture of magnetic nanoparticles and rolling circle amplified DNA coils is injected into a tube by a peristaltic pump. The sample is moved as a plug to the two well-balanced detection coils and the dynamic magnetic moment in each position is read over a range of excitation frequencies. The time for making a complete frequency sweep over the relaxation peak is about 5 minutes (10 Hz–10 kHz with 20 data points). The obtained standard deviation of the magnetic signal at the relaxation frequency (around 100 Hz) is equal to about 10−5 (volume susceptibility SI units), which is in the same range obtained with the DynoMag system. The limit of detection with this method is found to be in the range of 1 pM. View Full-Text
Keywords: magnetic nanoparticles; magnetic biosensing; Brownian relaxation; AC susceptibility; multi-core particles magnetic nanoparticles; magnetic biosensing; Brownian relaxation; AC susceptibility; multi-core particles

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Blomgren, J.; Ahrentorp, F.; Ilver, D.; Jonasson, C.; Sepehri, S.; Kalaboukhov, A.; Winkler, D.; Zardán Gómez de la Torre, T.; Strømme, M.; Johansson, C. Development of a Sensitive Induction-Based Magnetic Nanoparticle Biodetection Method. Nanomaterials 2018, 8, 887.

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