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Nanoscale Research Letters
Article . 2010 . Peer-reviewed
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Biomolecules Detection Using a Silver-Enhanced Gold Nanoparticle-Based Biochip

Authors: Yang Liu; Evangelyn C. Alocilja; Shantanu Chakrabartty; Deng Zhang;

Biomolecules Detection Using a Silver-Enhanced Gold Nanoparticle-Based Biochip

Abstract

Silver-enhanced labeling method has been employed in immunochromatographic assays for improving the sensitivity of detecting pathogens. In this paper, we apply the silver enhancement technique for biomolecular signal amplification in a gold nanoparticle-based conductimetric biochip. We show that the response of the silver-enhanced biochip comprises two distinct regions namely: (a) a sub-threshold region where conduction occurs due to electron hopping between silver islands and the electrolyte and (b) an above-threshold region where the conduction is due to a direct flow of electrons. These two regions are characterized by different conduction slopes, and we show that combining the information from both these regions can improve the sensitivity of the biochip. Results from fabricated prototypes show a dynamic range of more than 40 dB and with a detection limit less than 240 pg/mL. The fabrication of the biochip is compatible with standard complementary metal-oxide-semiconductor (CMOS) processes making it ideal for integration in next-generation CMOS biosensors.

Related Organizations
Keywords

Biomolecules, Gold nanoparticle, Special Issue Article, Condensed Matter Physics, Biochip, Materials Science(all), Silver enhancement, TA401-492, Materials of engineering and construction. Mechanics of materials, Biosensor

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 10%
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