Published February 1, 2017 | Version v1
Journal article

High frequency lateral flow affinity assay using superparamagnetic nanoparticles

  • 1. Dpto. de Física, Universidad de Oviedo, Edificio Departamental Este, Campus de Viesques, 33204 Gijón (Spain)
  • 2. Dpto. de Química Física y Analítica, Universidad de Oviedo, C/Julián Clavería 8, 33006 Oviedo (Spain)
  • 3. Dpto. de Física, Universidad de Oviedo, Escuela de Marina, Campus de Viesques, 33204 Gijón (Spain)

Description

Lateral flow assay is one of the simplest and most extended techniques in medical diagnosis for point-of-care testing. Although it has been traditionally a positive/negative test, some work has been lately done to add quantitative abilities to lateral flow assay. One of the most successful strategies involves magnetic beads and magnetic sensors. Recently, a new technique of superparamagnetic nanoparticle detection has been reported, based on the increase of the impedance induced by the nanoparticles on a RF-current carrying copper conductor. This method requires no external magnetic field, which reduces the system complexity. In this work, nitrocellulose membranes have been installed on the sensor, and impedance measurements have been carried out during the sample diffusion by capillarity along the membrane. The impedance of the sensor changes because of the presence of magnetic nanoparticles. The results prove the potentiality of the method for point-of-care testing of biochemical substances and nanoparticle capillarity flow studies. - Highlights: • A method for quantification of Lateral Flow Assays is proposed. • MNP induce an increase of the impedance on a RF-current carrying copper sensor. • Magnetic nanoparticles (MNP) can be detected flowing over the sensing element.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.jmmm.2016.09.106

Additional details

Identifiers

DOI
10.1016/j.jmmm.2016.09.106;
PII
S0304-8853(16)31378-6;

Publishing Information

Journal Title
Journal of Magnetism and Magnetic Materials
Journal Volume
423
Journal Page Range
p. 436-440
ISSN
0304-8853
CODEN
JMMMDC

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.