Electric Signal Detection of a Microfilter-Based Biochip for Immunoassay Using Microbead, Nanogold Particle, and Silver Enhancement
This paper presents a microbiochip which can detect an antigen-antibody reaction through an electrical signal in real time with high sensitivity and low sample volume by using nanogold particle and silver enhancement. A filtration method using the microbead is adopted for sample immobilization. The...
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Veröffentlicht in: | Key engineering materials 2006-12, Vol.326-328, p.839-842, Article 839 |
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Sprache: | eng |
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Zusammenfassung: | This paper presents a microbiochip which can detect an antigen-antibody reaction
through an electrical signal in real time with high sensitivity and low sample volume by using
nanogold particle and silver enhancement. A filtration method using the microbead is adopted for
sample immobilization. The chip is composed of an inexpensive and biocompatible
Polydimethylsiloxane (PDMS) layer and Pyrex glass substrate. Platinum microelectrodes for
electric signal detection were fabricated on the substrate and microchannel and pillar-type
microfilters were formed in the PDMS layer. Successively introducing polystyrene microbeads
precoated with protein A, anti-protein A (which was the first antibody) and the second antibody
conjugated with nanogold particles into the microchannel, the resulting antigen-antibody complex
was fixed on the bead surface. The injection of silver enhancer increased the size of nanogold
particles tagged with the second antibody. As a result, microbeads were connected to each other and
formed an electrical bridge between microelectrodes. Resistance measured through the electrodes
showed a difference of two orders of magnitude between specific and nonspecific immunoreactions.
The developed immunoassay chip reduced the time necessary for an antigen-antibody
reaction to 10 min, thus shortening the overall analysis time from 3 hours to 50 min. The
immunoassay chip reduces analysis time for clinical diagnoses, is simple, and has high sensitivity. |
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ISSN: | 1013-9826 1662-9795 1662-9795 |
DOI: | 10.4028/www.scientific.net/KEM.326-328.839 |