Label-free multiplexed virus detection using spectral reflectance imaging

Carlos A. Lopez, George G. Daaboul, Rahul S. Vedula, Emre Özkumur, David A. Bergstein, Thomas W. Geisbert, Helen E. Fawcett, Bennett B. Goldberg, John H. Connor, M. Selim Ünlü

Research output: Contribution to journalArticlepeer-review

53 Scopus citations


We demonstrate detection of whole viruses and viral proteins with a new label-free platform based on spectral reflectance imaging. The Interferometric Reflectance Imaging Sensor (IRIS) has been shown to be capable of sensitive protein and DNA detection in a real time and high-throughput format. Vesicular stomatitis virus (VSV) was used as the target for detection as it is well-characterized for protein composition and can be modified to express viral coat proteins from other dangerous, highly pathogenic agents for surrogate detection while remaining a biosafety level 2 agent. We demonstrate specific detection of intact VSV virions achieved with surface-immobilized antibodies acting as capture probes which is confirmed using fluorescence imaging. The limit of detection is confirmed down to 3.5×105plaque-forming units/mL (PFUs/mL). To increase specificity in a clinical scenario, both the external glycoprotein and internal viral proteins were simultaneously detected with the same antibody arrays with detergent-disrupted purified VSV and infected cell lysate solutions. Our results show sensitive and specific virus detection with a simple surface chemistry and minimal sample preparation on a quantitative label-free interferometric platform.

Original languageEnglish (US)
Pages (from-to)3432-3437
Number of pages6
JournalBiosensors and Bioelectronics
Issue number8
StatePublished - Apr 15 2011


  • Biosensor
  • High-throughput
  • Interferometry
  • Label-free
  • Microarray
  • Quantitative sensing
  • Virus detection

ASJC Scopus subject areas

  • Biotechnology
  • Biophysics
  • Biomedical Engineering
  • Electrochemistry


Dive into the research topics of 'Label-free multiplexed virus detection using spectral reflectance imaging'. Together they form a unique fingerprint.

Cite this