الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
 |  | from | 198 |  |  |
| | | from | 198 | | |
Abstract
This work aims to investigate the biomedical applications of MEMS FTIR spectrometer, specifically in the diagnosis and detection of viruses. This makes use of the infrared fingerprint of proteins that are the main constituents of viruses. The region of interest is the mid-infrared (MIR) region, where the absorption of molecular stretches exists. We investigate the application using a benchtop spectrometer first to prove the concept, then we move on to implement the idea on a MEMS integrated portable spectrometer. An important challenge arises when analyzing samples with low concentrations that may not be accurately predicted with the signal-to-noise ratio of the MEMS spectrometer. To overcome such challenge, absorption signal enhancement techniques can be used to improve the detectability of the samples. Two of such tech-niques are the use of plasmonic structures, and quantum dots. We investigate these two techniques and model them using effective medium approximation and tight-binding models to obtain an enhancement with the viral samples. Quantum dot sam-ples are prepared for HgTe in the lab with different sizes and characterized to be used in the enhancement.