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Details of Grant 

EPSRC Reference: EP/K034936/1
Title: Plasmon-Enhanced Chiroptical Biosensors
Principal Investigator: Kadodwala, Professor M
Other Investigators:
Gadegaard, Professor N Cooke, Professor G
Researcher Co-Investigators:
Project Partners:
Department: School of Chemistry
Organisation: University of Glasgow
Scheme: Standard Research - NR1
Starts: 01 November 2013 Ends: 31 December 2016 Value (£): 779,670
EPSRC Research Topic Classifications:
Analytical Science Chemical Biology
Chemical Synthetic Methodology
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
Polarimetry has been used for over two hundred years to detect and characterise inherently chiral biomolecules and

biomaterials. In this proposal we will use a 21st century "re-boot" of polarimetry, which uses chiral evanescent

electromagnetic fields produced by chiral plasmonic nanostructures instead of circularly polarised light, to achieve (sub)

picogram detection / characterisation of an analyte. We will develop biosensors that use plasmon-enhanced polarimetry,

superpolarimetry, to both transduce binding events and provide structural information on the bound analyte. These sensors

will provide label-free detection of analytes, and will be applied in an array-based format to the analysis of complex biofluids

while providing fundamental information on nanoscale chiroptical phenomena.

The vision at the heart of our research is the creation of a new sensor platform based on plasmon-enhanced chiroptical

effects. In addition to this goal, we expect that we will obtain fundamental advances in the understanding of chiroptical

behavior. In the course of our research we will develop new high-throughput methods to fabricate sensors, opening up

potential real-world applications of superpolarimetry. Taken together, our expectation is that the proposed research will

provide the foundational research required to bridge the gap between fundamental discovery and a widely useable sensor

platform.

Key Findings
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Further Information:  
Organisation Website: http://www.gla.ac.uk