Nanowire transistors for bio-diagnostics: early stage cancer screening

Recent developments of nanotechnology are perfectly suited for applications in medicine including hyper-sensitive detection of molecules associated with various diseases.

Diagnostic of various types of cancer at very early stages can save a vast number of human lives. In this project, we will investigate the application of semiconducting inorganic nanowires with large surface to volume ratios and one-dimensional charge transport for highly sensitive detection of biomolecules, including cancer biomarkers and volatile organic compounds associated with cancer metabolic activities.

The nanowires will be integrated into field-effect transistors to provide potentiometric read out capabilities for the sensors, and their surfaces will be functionalised with special receptors to enable highly selective interactions with the analyte molecules.

This programme will be benefit from more than 10 years’ research on nanowire field-effect transistors at Advanced Technology institute, University of Surrey, encompassing electronic and sensing applications and high precision molecular metrology in collaboration with National Physical Laboratory.

The project will involve nanowire field-effect transistors fabrication and characterisation, scanning- microscopy analysis of self-assembled nanowires, functionalisation of nanowire transistor channels with receptor molecules,  sensors characterisation and optimisation.

Project partners

The research will be conducted in close collaboration with National Physical Laboratory (NPL), Teddington.

Related subjects areas

• Applied physics
• Biomedical engineering
• Cancer/oncology
• Condensed matter physics
• Electrical and electronic
• Materials science
• Nanotechnology
• Semiconductors.

Applicants are expected to hold a first or upper-second class degree in either of the disciplines: electronic engineering, physics, materials, physical chemistry, bio-physics (or equivalent overseas qualification), or a lower second plus a good masters degree (distinction normally required).

Good hands-on and analytical skills. Demonstrated excellent aptitude for research.