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Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/56947
Title: GMR sensors and magnetic nanoparticles for immuno-chromatographic assays
Authors: Marquina, Clara; Teresa, José María de; Serrate, David; Marzo, J.; Ibarra, M. Ricardo
Keywords: Magnetic biosensor
Lateral-flow assay
Giant magnetoresistive sensor (GMR)
Magnetic nanoparticle
Nanoparticle functionalization
hCG hormone detection
Issue Date: Oct-2012
Publisher: Elsevier
Citation: Journal of Magnetism and Magnetic Materials 324(21): 3495-3498 (2012)
Abstract: Conventional tests based on immunorecognition and on the use of coloured colloidal particles have still some drawbacks that limit their use: they do not provide a quantitative determination of the analyte, and their sensitivity is limited. Our strategy to overcome these disadvantages consists in the use of superparamagnetic core-shell nanoparticles to tag the analyte. The use of these magnetic labels allows us to quantify the amount of analyte present in our sample with a very high sensitivity, detecting their magnetic response by means of the suitable magnetic sensor. Our method is based on measuring the magnetoresistive response of a spin-valve giant magnetoresistive (GMR) sensor placed in proximity to the magnetic nanoparticles present in the lateral flow strip. Here, a brief description of our prototype and of the measurement procedure will be presented, as well as preliminary assays using our biosensor to detect the hCG pregnancy hormone in a solution. A crucial aspect to take into account in order to increase the sensitivity is the proper functionalisation of the nanoparticle shell, in order to achieve an oriented immobilisation of the antibodies to be used in the immunorecognition process. Several strategies to further increase the sensor sensitivity are suggested.
Description: 4 páginas, 3 figuras.-- et al.
Publisher version (URL): http://dx.doi.org/10.1016/j.jmmm.2012.02.074
URI: http://hdl.handle.net/10261/56947
DOI: 10.1016/j.jmmm.2012.02.074
ISSN: 0304-8853
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