Journal
SENSORS
Volume 15, Issue 7, Pages 17649-17665Publisher
MDPI AG
DOI: 10.3390/s150717649
Keywords
optical biosensor; interferometry; label-free; digital detection; nanoparticle; virus; single nucleotide polymorphism
Funding
- National Institutes of Health [R21 GM074872-01A1, R21EB015900, R01AI1096159]
- Army Research Laboratory [W911NF-06-2-0040]
- National Science Foundation [OISE-0601631, EEC-0812056, AIR-1127833]
- MITRE Corporation
- Center for Integration of Medicine and Innovative Technology (CIMIT)
- Bahcesehir University-Boston University fellowship
- Directorate For Engineering
- Div Of Industrial Innovation & Partnersh [1068070] Funding Source: National Science Foundation
- Div Of Industrial Innovation & Partnersh
- Directorate For Engineering [1127833] Funding Source: National Science Foundation
Ask authors/readers for more resources
Over the last decade, the growing need in disease diagnostics has stimulated rapid development of new technologies with unprecedented capabilities. Recent emerging infectious diseases and epidemics have revealed the shortcomings of existing diagnostics tools, and the necessity for further improvements. Optical biosensors can lay the foundations for future generation diagnostics by providing means to detect biomarkers in a highly sensitive, specific, quantitative and multiplexed fashion. Here, we review an optical sensing technology, Interferometric Reflectance Imaging Sensor (IRIS), and the relevant features of this multifunctional platform for quantitative, label-free and dynamic detection. We discuss two distinct modalities for IRIS: (i) low-magnification (ensemble biomolecular mass measurements) and (ii) high-magnification (digital detection of individual nanoparticles) along with their applications, including label-free detection of multiplexed protein chips, measurement of single nucleotide polymorphism, quantification of transcription factor DNA binding, and high sensitivity digital sensing and characterization of nanoparticles and viruses.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available