Cargando…

Development of a Sensitive Induction-Based Magnetic Nanoparticle Biodetection Method

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 rollin...

Descripción completa

Detalles Bibliográficos
Autores principales: Blomgren, Jakob, Ahrentorp, Fredrik, Ilver, Dag, Jonasson, Christian, Sepehri, Sobhan, Kalaboukhov, Alexei, Winkler, Dag, Zardán Gómez de la Torre, Teresa, Strømme, Maria, Johansson, Christer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6266973/
https://www.ncbi.nlm.nih.gov/pubmed/30388776
http://dx.doi.org/10.3390/nano8110887
_version_ 1783375959670390784
author Blomgren, Jakob
Ahrentorp, Fredrik
Ilver, Dag
Jonasson, Christian
Sepehri, Sobhan
Kalaboukhov, Alexei
Winkler, Dag
Zardán Gómez de la Torre, Teresa
Strømme, Maria
Johansson, Christer
author_facet Blomgren, Jakob
Ahrentorp, Fredrik
Ilver, Dag
Jonasson, Christian
Sepehri, Sobhan
Kalaboukhov, Alexei
Winkler, Dag
Zardán Gómez de la Torre, Teresa
Strømme, Maria
Johansson, Christer
author_sort Blomgren, Jakob
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6266973
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-62669732018-12-06 Development of a Sensitive Induction-Based Magnetic Nanoparticle Biodetection Method Blomgren, Jakob Ahrentorp, Fredrik Ilver, Dag Jonasson, Christian Sepehri, Sobhan Kalaboukhov, Alexei Winkler, Dag Zardán Gómez de la Torre, Teresa Strømme, Maria Johansson, Christer Nanomaterials (Basel) Article 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. MDPI 2018-11-01 /pmc/articles/PMC6266973/ /pubmed/30388776 http://dx.doi.org/10.3390/nano8110887 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Blomgren, Jakob
Ahrentorp, Fredrik
Ilver, Dag
Jonasson, Christian
Sepehri, Sobhan
Kalaboukhov, Alexei
Winkler, Dag
Zardán Gómez de la Torre, Teresa
Strømme, Maria
Johansson, Christer
Development of a Sensitive Induction-Based Magnetic Nanoparticle Biodetection Method
title Development of a Sensitive Induction-Based Magnetic Nanoparticle Biodetection Method
title_full Development of a Sensitive Induction-Based Magnetic Nanoparticle Biodetection Method
title_fullStr Development of a Sensitive Induction-Based Magnetic Nanoparticle Biodetection Method
title_full_unstemmed Development of a Sensitive Induction-Based Magnetic Nanoparticle Biodetection Method
title_short Development of a Sensitive Induction-Based Magnetic Nanoparticle Biodetection Method
title_sort development of a sensitive induction-based magnetic nanoparticle biodetection method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6266973/
https://www.ncbi.nlm.nih.gov/pubmed/30388776
http://dx.doi.org/10.3390/nano8110887
work_keys_str_mv AT blomgrenjakob developmentofasensitiveinductionbasedmagneticnanoparticlebiodetectionmethod
AT ahrentorpfredrik developmentofasensitiveinductionbasedmagneticnanoparticlebiodetectionmethod
AT ilverdag developmentofasensitiveinductionbasedmagneticnanoparticlebiodetectionmethod
AT jonassonchristian developmentofasensitiveinductionbasedmagneticnanoparticlebiodetectionmethod
AT sepehrisobhan developmentofasensitiveinductionbasedmagneticnanoparticlebiodetectionmethod
AT kalaboukhovalexei developmentofasensitiveinductionbasedmagneticnanoparticlebiodetectionmethod
AT winklerdag developmentofasensitiveinductionbasedmagneticnanoparticlebiodetectionmethod
AT zardangomezdelatorreteresa developmentofasensitiveinductionbasedmagneticnanoparticlebiodetectionmethod
AT strømmemaria developmentofasensitiveinductionbasedmagneticnanoparticlebiodetectionmethod
AT johanssonchrister developmentofasensitiveinductionbasedmagneticnanoparticlebiodetectionmethod