Graphene-based terahertz sensor

The main objective of this work is to test the sensitivity of a graphene-based Terahertz sensor, to determine whether it can be used to effectively detect various substances. Terahertz technology is a safe technique that does not destroy the analyte, and has gained increasing popularity in the r...

Full description

Saved in:
Bibliographic Details
Main Author: Chong, Bei En
Other Authors: Rusli
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157976
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-157976
record_format dspace
spelling sg-ntu-dr.10356-1579762023-07-07T19:06:35Z Graphene-based terahertz sensor Chong, Bei En Rusli School of Electrical and Electronic Engineering A*STAR Institute of Material Research and Engineering erusli@ntu.edu.sg Engineering::Electrical and electronic engineering The main objective of this work is to test the sensitivity of a graphene-based Terahertz sensor, to determine whether it can be used to effectively detect various substances. Terahertz technology is a safe technique that does not destroy the analyte, and has gained increasing popularity in the recent years due to its potential to analyse biological molecular, cellular, tissue and organs effectively and safely. One terahertz technique, known as terahertz spectroscopy has been introduced and applied in various fields from agriculture to aerospace. In this project, I work on a terahertz spectroscopy technique known as attenuated total reflectance (ATR) terahertz spectroscopy. These experiments have been conducted using different analytes and substrates to test whether there is an increase in detection sensitivity when a graphene-based sensor is used. As expected, a graphene-based sensor does improve the sensitivity in detection of substances. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-24T05:18:33Z 2022-05-24T05:18:33Z 2022 Final Year Project (FYP) Chong, B. E. (2022). Graphene-based terahertz sensor. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157976 https://hdl.handle.net/10356/157976 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Chong, Bei En
Graphene-based terahertz sensor
description The main objective of this work is to test the sensitivity of a graphene-based Terahertz sensor, to determine whether it can be used to effectively detect various substances. Terahertz technology is a safe technique that does not destroy the analyte, and has gained increasing popularity in the recent years due to its potential to analyse biological molecular, cellular, tissue and organs effectively and safely. One terahertz technique, known as terahertz spectroscopy has been introduced and applied in various fields from agriculture to aerospace. In this project, I work on a terahertz spectroscopy technique known as attenuated total reflectance (ATR) terahertz spectroscopy. These experiments have been conducted using different analytes and substrates to test whether there is an increase in detection sensitivity when a graphene-based sensor is used. As expected, a graphene-based sensor does improve the sensitivity in detection of substances.
author2 Rusli
author_facet Rusli
Chong, Bei En
format Final Year Project
author Chong, Bei En
author_sort Chong, Bei En
title Graphene-based terahertz sensor
title_short Graphene-based terahertz sensor
title_full Graphene-based terahertz sensor
title_fullStr Graphene-based terahertz sensor
title_full_unstemmed Graphene-based terahertz sensor
title_sort graphene-based terahertz sensor
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/157976
_version_ 1772829042108530688