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Bioanalytical Sensors

Bioanalytical Sensors program supports the development of sensor technologies for the detection and quantitation of clinically relevant analytes in complex matrices for use in biomedical applications.

Emphasis

Emphasis is on engineering the components and functionality of bioanalytical sensors. Detection could be based on optical, chemical, electrochemical, and/or physical (such as mechanical, gravimetric, thermal) perturbation of a sample, for example. Examples of technologies of interest include, but are not limited to:

  • nano-textured substrates for analyte detection
  • DNA sensors for liquid biopsy
  • small molecule detectors for diagnosing infectious diseases.

Notes

The development of biomedical devices that use bioanalytical sensors is supported by the NIBIB Point of Care Technologies program. The development of imaging probes is supported by the NIBIB Molecular Probes and Imaging Agents program. 

 
Grant Number Project Title Principal Investigator Institution
1-R01-EB031893-01 Model-guided design of RNA stabilizing elements for improved coronavirus diagnostics Xiao Wang Arizona State University-Tempe Campus
5-R01-EB027662-04 A ratiometric fluorescent sensor array for bacterial pathogen investigation Aaron Mohs University of Nebraska Medical Center
5-R01-EB028608-04 Nanopore-based multi-target analysis of Zika virus infection Holger Schmidt University of California Santa Cruz
5-R21-EB030216-02 Bioinspired mechanogating biosensors for real-time biodetection Jun Yao University of Massachusetts Amherst
5-R21-EB031433-03 Real-Time Detection of Glutamate using Templated Polymers as Shape-Changing Target Receptors Edward Song University of New Hampshire
5-R21-EB031455-02 Affinity Reagents and Sensor Platform Development for Blood Biochemical Monitoring Jing Pan University of Florida
1-R01-EB033412-01A1 Development of Modular Synthetic Sensors for Protein Biomarker Detection Liviu Movileanu Syracuse University
5-R01-EB031579-02 mRNA Expression Profiling from Extracellular Vesicles (EVs): Generating a Rapid Diagnostic for Stroke Steven Soper University of Kansas Lawrence
5-R01-EB029805-04 Exosome separation and digital resolution detection of blood-based nucleic acid biomarkers for noninvasive therapeutic diagnostics in cancer Brian Cunningham University of Illinois at Urbana-Champaign
1-R01-EB034301-01 Synthetic biological systems for protein detection Mark Styczynski Georgia Institute of Technology