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Tailored Magnetic Nanoparticles for Direct Sensitive Detection of Biomolecules in Biological Samples
KTH Royal Institute of Technology, Sweden.
RISE, Swedish ICT, Acreo.
RISE - Research Institutes of Sweden, ICT, Acreo.
Chalmers University of Technology, Sweden.
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2008 (English)In: Nano Letters, Vol. 8, no 10, p. 3423-28Article in journal (Refereed) Published
Abstract [en]

We developed nanoparticles with tailored magnetic properties for direct and sensitive detection of biomolecules in biological samples in a single step. Thermally blocked nanoparticles obtained by thermal hydrolysis, functionalized with specific ligands, are mixed with sample solutions, and the variation of the magnetic relaxation due to surface binding is used to detect the presence of biomolecules. The binding significantly increases the hydrodynamic volume of nanoparticles, thus changing their Brownian relaxation frequency which is measured by a specifically developed AC susceptometer. The system was tested for the presence of Brucella antibodies, a dangerous pathogen causing brucellosis with severe effects both on humans and animals, in serum samples from infected cows and the surface of the nanoparticles was functionalized with lipopolysaccarides (LPS) from Brucella abortus. The hydrodynamic volume of LPS-functionalized particles increased by 25-35% as a result of the binding of the antibodies, measured by changes in the susceptibility in an alternating magnetic field. The method has shown high sensitivity, with detection limit of 0.05 μgmL-1 of antibody in the biological samples without any pretreatment. This magnetic- based assay is very sensitive, cost-efficient, and versatile, giving a direct indication whether the animal is infected or not, making it suitable for point-of-care applications. The functionalization of tailored magnetic nanoparticles can be modified to suit numerous homogeneous assays for a wide range of applications.

Place, publisher, year, edition, pages
2008. Vol. 8, no 10, p. 3423-28
Keywords [en]
magnetic nanoparticles, AC susceptometry, bio-sensors
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-32135DOI: 10.1021/nl8022498Scopus ID: 2-s2.0-56149116406OAI: oai:DiVA.org:ri-32135DiVA, id: diva2:1151994
Available from: 2017-10-24 Created: 2017-10-24 Last updated: 2019-10-10Bibliographically approved

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Ilver, DagJohansson, Christer

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