Issue 18, 2016

Gallium plasmonic nanoparticles for label-free DNA and single nucleotide polymorphism sensing

Abstract

A label-free DNA and single nucleotide polymorphism (SNP) sensing method is described. It is based on the use of the pseudodielectric function of gallium plasmonic nanoparticles (GaNPs) deposited on Si (100) substrates under reversal of the polarization handedness condition. Under this condition, the pseudodielectric function is extremely sensitive to changes in the surrounding medium of the nanoparticle surface providing an excellent sensing platform competitive to conventional surface plasmon resonance. DNA sensing has been carried out by immobilizing a thiolated capture probe sequence from Helicobacter pylori onto GaNP/Si substrates; complementary target sequences of Helicobacter pylori can be quantified over the range of 10 pM to 3.0 nM with a detection limit of 6.0 pM and a linear correlation coefficient of R2 = 0.990. The selectivity of the device allows the detection of a single nucleotide polymorphism (SNP) in a specific sequence of Helicobacter pylori, without the need for a hybridization suppressor in solution such as formamide. Furthermore, it also allows the detection of this sequence in the presence of other pathogens, such as Escherichia coli in the sample. The broad applicability of the system was demonstrated by the detection of a specific gene mutation directly associated with cystic fibrosis in large genomic DNA isolated from blood cells.

Graphical abstract: Gallium plasmonic nanoparticles for label-free DNA and single nucleotide polymorphism sensing

Supplementary files

Article information

Article type
Paper
Submitted
01 Feb 2016
Accepted
31 Mar 2016
First published
06 Apr 2016
This article is Open Access
Creative Commons BY-NC license

Nanoscale, 2016,8, 9842-9851

Gallium plasmonic nanoparticles for label-free DNA and single nucleotide polymorphism sensing

A. G. Marín, T. García-Mendiola, C. N. Bernabeu, M. J. Hernández, J. Piqueras, J. L. Pau, F. Pariente and E. Lorenzo, Nanoscale, 2016, 8, 9842 DOI: 10.1039/C6NR00926C

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