Label-enhanced surface plasmon resonance: A new concept for improved performance in optical biosensor analysis

Niko Granqvist*, Anders Hanning, Lars Eng, Jussi Tuppurainen, Tapani Viitala

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

31 Citations (Scopus)

Abstract

Surface plasmon resonance (SPR) is a well-established optical biosensor technology with many proven applications in the study of molecular interactions as well as in surface and material science. SPR is usually applied in the label-free mode which may be advantageous in cases where the presence of a label may potentially interfere with the studied interactions per se. However, the fundamental challenges of label-free SPR in terms of limited sensitivity and specificity are well known. Here we present a new concept called label-enhanced SPR, which is based on utilizing strongly absorbing dye molecules in combination with the evaluation of the full shape of the SPR curve, whereby the sensitivity as well as the specificity of SPR is significantly improved. The performance of the new label-enhanced SPR method was demonstrated by two simple model assays: a small molecule assay and a DNA hybridization assay. The small molecule assay was used to demonstrate the sensitivity enhancement of the method, and how competitive assays can be used for relative affinity determination. The DNA assay was used to demonstrate the selectivity of the assay, and the capabilities in eliminating noise from bulk liquid composition variations.

Original languageEnglish
Pages (from-to)15348-15363
Number of pages16
JournalSensors (Switzerland)
Volume13
Issue number11
DOIs
Publication statusPublished - 8 Nov 2013
Externally publishedYes
MoE publication typeA1 Journal article-refereed

Keywords

  • Biosensor
  • Label
  • Sensitivity
  • Specificity
  • SPR
  • Surface plasmon resonance

Fingerprint

Dive into the research topics of 'Label-enhanced surface plasmon resonance: A new concept for improved performance in optical biosensor analysis'. Together they form a unique fingerprint.

Cite this