Beyond the diffraction limit: sub-diffraction T-ray biochip sensing using planar metamaterials. T-rays are able to detect small changes in molecular structure and different isomeric and intermolecular configurations. With a comparatively long wavelength (0.3 mm at 1 THz), diffraction limits its use for imaging small biosamples. A method for achieving sub-diffraction sensing, required for biochips, is to adopt near-field techniques. However, due to the small biosample masses, there is a critical ....Beyond the diffraction limit: sub-diffraction T-ray biochip sensing using planar metamaterials. T-rays are able to detect small changes in molecular structure and different isomeric and intermolecular configurations. With a comparatively long wavelength (0.3 mm at 1 THz), diffraction limits its use for imaging small biosamples. A method for achieving sub-diffraction sensing, required for biochips, is to adopt near-field techniques. However, due to the small biosample masses, there is a critical need to enhance the response. This project will investigate a planar metamaterial thin-film T-ray sensor, for a new leap in non-invasive biochip sensing. This outcome will build downstream IP for rapid screening of DNA and proteins for healthcare. The project will also elucidate the science of T-ray interaction with biomaterials at small scales.Read moreRead less
Advanced biosensing in the terahertz (THz) sub-wavelength regime. This project will build on Australian excellence in photonics, exploiting the advanced use of T-rays for sensing of biological substances such as proteins and DNA. For the first time, this will enable contactless automated sensing for high-speed medical screening of diseases, a critical step toward the ultimate vision of customised medicine.
Discovery Early Career Researcher Award - Grant ID: DE120101494
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Terahertz sensing of proteins associated with Alzheimer's disease. This project aims to use terahertz radiation to study the proteins associated with Alzheimer's Disease (AD) in order to contribute towards the development of an accurate, non-invasive diagnostic tool. The project will increase our knowledge of the causes of AD, improve its diagnosis, and allow for better treatment to target the symptoms of AD.