Electrochemical and optical CMOS sensors design for biochemical detection
Population ageing has driven the incremental demands on portable and cost-efficient point-of-care diagnostics. However, most of the existing techniques require bulky and expensive high-end instruments. New methods based on CMOS sensors are possible solutions. In this thesis, three types of CMOS...
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sg-ntu-dr.10356-1445122023-07-04T16:26:53Z Electrochemical and optical CMOS sensors design for biochemical detection Jiang, Yu Zhang Qing School of Electrical and Electronic Engineering eqzhang@ntu.edu.sg Engineering::Electrical and electronic engineering::Integrated circuits Population ageing has driven the incremental demands on portable and cost-efficient point-of-care diagnostics. However, most of the existing techniques require bulky and expensive high-end instruments. New methods based on CMOS sensors are possible solutions. In this thesis, three types of CMOS sensors are studied for biochemical detection: CMOS ion-sensitive field-effect transistor (ISFET) sensor for food safety screening, CMOS chronocoulometric sensor for the heavy metal monitor, and CMOS fluorescence sensor for near-infrared quantum dots detection. In-depth understanding of these novel CMOS sensors is presented here from working principles, circuit designs, to the experimental results. Sub-threshold amplifier and capacitive transimpedance amplifier (CTIA) are proposed to realize a high-sensitivity detection. Correlated double sampling (CDS) and pixel calibration are employed to reduce the variations in an array. The demonstrated CMOS biosensors are low-cost and miniaturized. They could become promising in personalized biomedical tests in future. Doctor of Philosophy 2020-11-10T07:03:54Z 2020-11-10T07:03:54Z 2020 Thesis-Doctor of Philosophy Jiang, Y. (2020). Electrochemical and optical CMOS sensors design for biochemical detection. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/144512 10.32657/10356/144512 en This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering::Integrated circuits Jiang, Yu Electrochemical and optical CMOS sensors design for biochemical detection |
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Population ageing has driven the incremental demands on portable and cost-efficient point-of-care diagnostics. However, most of the existing techniques require bulky and expensive high-end instruments. New methods based on CMOS sensors are possible solutions.
In this thesis, three types of CMOS sensors are studied for biochemical detection: CMOS ion-sensitive field-effect transistor (ISFET) sensor for food safety screening, CMOS chronocoulometric sensor for the heavy metal monitor, and CMOS fluorescence sensor for near-infrared quantum dots detection. In-depth understanding of these novel CMOS sensors is presented here from working principles, circuit designs, to the experimental results. Sub-threshold amplifier and capacitive transimpedance amplifier (CTIA) are proposed to realize a high-sensitivity detection. Correlated double sampling (CDS) and pixel calibration are employed to reduce the variations in an array.
The demonstrated CMOS biosensors are low-cost and miniaturized. They could become promising in personalized biomedical tests in future. |
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Zhang Qing |
author_facet |
Zhang Qing Jiang, Yu |
format |
Thesis-Doctor of Philosophy |
author |
Jiang, Yu |
author_sort |
Jiang, Yu |
title |
Electrochemical and optical CMOS sensors design for biochemical detection |
title_short |
Electrochemical and optical CMOS sensors design for biochemical detection |
title_full |
Electrochemical and optical CMOS sensors design for biochemical detection |
title_fullStr |
Electrochemical and optical CMOS sensors design for biochemical detection |
title_full_unstemmed |
Electrochemical and optical CMOS sensors design for biochemical detection |
title_sort |
electrochemical and optical cmos sensors design for biochemical detection |
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Nanyang Technological University |
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2020 |
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https://hdl.handle.net/10356/144512 |
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1772826295260938240 |