Label-free microcavity biosensors: Steps towards personalized medicine

Dragos Amarie, James A. Glazier

Research output: Contribution to journalArticlepeer-review

5 Scopus citations
1 Downloads (Pure)

Abstract

Personalized medicine has the potential to improve our ability to maintain health and treat disease, while ameliorating continuously rising healthcare costs. Translation of basic research findings to clinical applications within regulatory compliance is required for personalized medicine to become the new foundation for practice of medicine. Deploying even a few of the thousands of potential diagnostic biomarkers identified each year as part of personalized treatment workflows requires clinically efficient biosensor technologies to monitor multiple biomarkers in patients in real time. This paper discusses a critical component of a regulatory system, a microcavity optical biosensor for label-free monitoring of biomolecular interactions at physiologically-relevant concentrations. While most current biosensor research focuses on improving sensitivity, this paper emphasizes other characteristics a biosensor technology requires to be practical in a clinical setting, presenting robust microcavity biosensors which are easy to manufacture and integrate with microfluidics into flexible and redesignable platforms making the microcavity biosensors deployable for continuous monitoring of biomarkers in body fluids in the clinic,  in dense 2D random arrays for high-throughput applications like drug-library screening in interactomics, and of the secretory behavior of single cells in the laboratory.
Original languageEnglish
Pages (from-to)17262-17294
Number of pages33
JournalSensors
Volume12
Issue number12
DOIs
StatePublished - Dec 2012

Scopus Subject Areas

  • Analytical Chemistry
  • Biochemistry
  • Atomic and Molecular Physics, and Optics
  • Instrumentation
  • Electrical and Electronic Engineering

Keywords

  • Biomarkers
  • Biosensors
  • Interactomics
  • Microcavity surface plasmon resonance
  • Microfluidics
  • Microsensors
  • Personalized medicine
  • Proteomics
  • Single cell secretion

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