Analysis ans Simulation for Silicon Nanowire Biosensors
碩士 === 國立交通大學 === 電子工程系所 === 98 === This thesis provides a comprehensive simulation framework for silicon nanowire (Si-NW) biosensors. Using this simulation framework, we have systematically investigated the impact of device design on the sensitivity of Si-NW biosensors. In addition, we have examine...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2009
|
Online Access: | http://ndltd.ncl.edu.tw/handle/78022223936419794090 |
id |
ndltd-TW-098NCTU5428026 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-098NCTU54280262015-10-13T15:42:34Z http://ndltd.ncl.edu.tw/handle/78022223936419794090 Analysis ans Simulation for Silicon Nanowire Biosensors 矽奈米線生物感測器之分析與模擬 Lu,Kun-Yen 呂昆諺 碩士 國立交通大學 電子工程系所 98 This thesis provides a comprehensive simulation framework for silicon nanowire (Si-NW) biosensors. Using this simulation framework, we have systematically investigated the impact of device design on the sensitivity of Si-NW biosensors. In addition, we have examined the impacts of intrinsic parameter fluctuations such as random dopant fluctuations (RDF) and line-edge roughness (LER). Our study indicates that Si-NW biosensors with smaller diameter, shorter channel length, and lower channel doping have better sensitivity and less sensitivity variation. When diameter is smaller than ~10nm, the quantum effect further enhances the sensitivity. Regarding the suppression of screening effects, our simulations indicate that the electro-diffusion flow can significantly suppress the screening effects in the electrolyte solution, and Si-NW biosensors with lower channel doping and smaller diameter have more enhancements in the sensitivity, especially for the accumulation mode. Besides, the structure of Si-NW biosensor with antenna has been simulated and analyzed. Su, Pin 蘇彬 2009 學位論文 ; thesis 102 en_US |
collection |
NDLTD |
language |
en_US |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立交通大學 === 電子工程系所 === 98 === This thesis provides a comprehensive simulation framework for silicon nanowire (Si-NW) biosensors. Using this simulation framework, we have systematically investigated the impact of device design on the sensitivity of Si-NW biosensors. In addition, we have examined the impacts of intrinsic parameter fluctuations such as random dopant fluctuations (RDF) and line-edge roughness (LER). Our study indicates that Si-NW biosensors with smaller diameter, shorter channel length, and lower channel doping have better sensitivity and less sensitivity variation. When diameter is smaller than ~10nm, the quantum effect further enhances the sensitivity. Regarding the suppression of screening effects, our simulations indicate that the electro-diffusion flow can significantly suppress the screening effects in the electrolyte solution, and Si-NW biosensors with lower channel doping and smaller diameter have more enhancements in the sensitivity, especially for the accumulation mode. Besides, the structure of Si-NW biosensor with antenna has been simulated and analyzed.
|
author2 |
Su, Pin |
author_facet |
Su, Pin Lu,Kun-Yen 呂昆諺 |
author |
Lu,Kun-Yen 呂昆諺 |
spellingShingle |
Lu,Kun-Yen 呂昆諺 Analysis ans Simulation for Silicon Nanowire Biosensors |
author_sort |
Lu,Kun-Yen |
title |
Analysis ans Simulation for Silicon Nanowire Biosensors |
title_short |
Analysis ans Simulation for Silicon Nanowire Biosensors |
title_full |
Analysis ans Simulation for Silicon Nanowire Biosensors |
title_fullStr |
Analysis ans Simulation for Silicon Nanowire Biosensors |
title_full_unstemmed |
Analysis ans Simulation for Silicon Nanowire Biosensors |
title_sort |
analysis ans simulation for silicon nanowire biosensors |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/78022223936419794090 |
work_keys_str_mv |
AT lukunyen analysisanssimulationforsiliconnanowirebiosensors AT lǚkūnyàn analysisanssimulationforsiliconnanowirebiosensors AT lukunyen xìnàimǐxiànshēngwùgǎncèqìzhīfēnxīyǔmónǐ AT lǚkūnyàn xìnàimǐxiànshēngwùgǎncèqìzhīfēnxīyǔmónǐ |
_version_ |
1717768567350362112 |