Engineering plasmonic nanorod arrays for colon cancer marker detection

Biosens Bioelectron. 2015 Jan 15:63:472-477. doi: 10.1016/j.bios.2014.07.083. Epub 2014 Aug 7.

Abstract

Engineering plasmonic nanomaterials or nanostructures towards ultrasensitive biosensing for disease markers or pathogens is of high importance. Here we demonstrate a systematic approach to tailor effective plasmonic nanorod arrays by combining both comprehensive numerical discrete dipole approximations (DDA) simulation and transmission spectroscopy experiments. The results indicate that 200×50 nm nanorod arrays with 300×500 nm period provide the highest figure of merit (FOM) of 2.4 and a sensitivity of 310 nm/RIU. Furthermore, we demonstrate the use of nanorod arrays for the detection of single nucleotide polymorphism in codon 12 of the K-ras gene that are frequently occurring in early stages of colon cancer, with a sensitivity down to 10 nM in the presence of 100-fold higher concentration of the homozygous genotypes. Our work shows significant potential of nanorod arrays towards point-of-care applications in diagnosis and clinical studies.

Keywords: Biosensing; Discrete dipole approximation; Localized surface plasmon resonance; Nanorod array; Plasmonics; Single nucleotide polymorphism.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor / analysis*
  • Biosensing Techniques / instrumentation
  • Colonic Neoplasms / diagnosis
  • Colonic Neoplasms / genetics*
  • DNA Mutational Analysis / instrumentation
  • DNA, Neoplasm / analysis
  • DNA, Neoplasm / genetics*
  • Equipment Design
  • Equipment Failure Analysis
  • Genetic Markers / genetics
  • Humans
  • Nanotubes / chemistry
  • Nanotubes / ultrastructure
  • Oligonucleotide Array Sequence Analysis / instrumentation*
  • Oligonucleotide Array Sequence Analysis / methods
  • Polymorphism, Single Nucleotide / genetics*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Surface Plasmon Resonance / instrumentation*

Substances

  • Biomarkers, Tumor
  • DNA, Neoplasm
  • Genetic Markers