Application of photonic crystal enhanced fluorescence to detection of low serum concentrations of human IgE antibodies specific for a purified cat allergen (Fel D1)

Yafang Tan, John F. Halsey, Tiantian Tang, Scott Vande Wetering, Elaine Taine, Mark Van Cleve, Brian T. Cunningham

Research output: Contribution to journalArticlepeer-review

Abstract

We demonstrate the detection of low concentrations of allergen-specific Immunoglobulin E (IgE) in human sera using a Photonic Crystal Enhanced Fluorescence (PCEF) microarray platform. The Photonic Crystal (PC) surface, designed to provide optical resonances for the excitation wavelength and emission wavelength of Cy5, was used to amplify the fluorescence signal intensity measured from a multiplexed allergen microarray. Surface-based sandwich immunoassays were used to detect and quantify specific IgE antibodies against a highly purified cat allergen (Fel d1). A comparison of the lowest detectable concentration of IgE measured by the PC microarray system and a commercially available clinical analyzer demonstrated that the PCEF microarray system provides higher sensitivity. The PCEF system was able to detect low concentrations of specific IgE (~0.02. kU/L), which is 5-17-fold more sensitive than the commercially available FDA-approved analyzers. In preliminary experiments using multi-allergen arrays, we demonstrate selective simultaneous detection of IgE antibodies to multiple allergens.

Original languageEnglish (US)
Pages (from-to)194-201
Number of pages8
JournalBiosensors and Bioelectronics
Volume77
DOIs
StatePublished - Mar 15 2016

Keywords

  • Allergen microarray
  • High sensitivity
  • Photonic crystal enhanced fluorescence

ASJC Scopus subject areas

  • Biotechnology
  • Biophysics
  • Biomedical Engineering
  • Electrochemistry

Fingerprint Dive into the research topics of 'Application of photonic crystal enhanced fluorescence to detection of low serum concentrations of human IgE antibodies specific for a purified cat allergen (Fel D1)'. Together they form a unique fingerprint.

Cite this