Bloch surface wave label-free and fluorescence platform for the detection of VEGF biomarker in biological matrices

Riccardo Rizzo, Maria Alvaro, Norbert Danz, Lucia Napione, Emiliano Descrovi, Stefan Schmieder, Alberto Sinibaldi, Rona Chandrawati, Subinoy Rana, Peter Munzert, Thomas Schubert, Emmanuel Maillart, Aleksei Anopchenko, Paola Rivolo, Alessandro Mascioletti, Frank Sonntag, Molly M. Stevens, Federico Bussolino, Francesco Michelotti

Research output: Contribution to journalArticlepeer-review

Abstract

We report on the detection of an angiogenic molecule Vascular Endothelial Growth Factor (VEGF) in different biological matrices by means of a new integrated biosensing platform exploiting the properties of Bloch surface waves. The new platform takes advantage of a tandem configuration, in which both label-free and enhanced fluorescence detection are implemented. Specifically designed one dimensional photonic crystals were deposited directly on disposable and low cost plastic biochips. A direct sandwich immunoassay was used to detect VEGF in buffer, cell culture supernatant and human plasma at low concentration (ng/mL). The platform enabled the detection of VEGF in all three matrices with high resolution, fast turnaround time (30 min) and in close agreement with the results of enzyme linked immunosorbent assays.

Original languageEnglish
Pages (from-to)2143-2150
Number of pages8
JournalSensors and Actuators, B: Chemical
Volume255
DOIs
Publication statusPublished - Feb 1 2018

Keywords

  • Biosensor platform
  • Bloch surface waves
  • Complex matrices
  • Enhanced fluorescence
  • Label-free optical sensor
  • Tumor biomarker

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Condensed Matter Physics
  • Surfaces, Coatings and Films
  • Metals and Alloys
  • Electrical and Electronic Engineering
  • Materials Chemistry

Fingerprint Dive into the research topics of 'Bloch surface wave label-free and fluorescence platform for the detection of VEGF biomarker in biological matrices'. Together they form a unique fingerprint.

Cite this