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Performance analysis of ISFET biosensor with different structures

Ion-sensitive field-effect transistor (ISFET) biosensor has gained popularity in clinical research field for biomolecules detection due to its high detection sensitivity, mass-production capability, and low manufacturing cost. Proteins are needed by all living cells for structural and functional pur...

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Main Author:	Lam, Yi Ling
Format:	Thesis
Language:	English
Published:	2022
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/99477/1/LamYiLingMSKE2022.pdf http://eprints.utm.my/id/eprint/99477/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150028
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spelling	my.utm.994772023-02-27T07:31:33Z http://eprints.utm.my/id/eprint/99477/ Performance analysis of ISFET biosensor with different structures Lam, Yi Ling TK Electrical engineering. Electronics Nuclear engineering Ion-sensitive field-effect transistor (ISFET) biosensor has gained popularity in clinical research field for biomolecules detection due to its high detection sensitivity, mass-production capability, and low manufacturing cost. Proteins are needed by all living cells for structural and functional purposes. However, some proteins such as Bovine Serum Albumin (BSA) can cause allergic reactions in human body. Besides, instability of Liposome may result in medication leaks that could harm cells. The first objective of this project is to study the effect of different proteins on the performance of different structures of ISFET biosensor. There are several limitations of ISFET biosensor such as lack of good solid-state electrodes, parasitic sensitivity to temperature and light and time dependent instability of sensor parameters. Enhancement on ISFET structures could be a good approach to improve the ISFET performance. The second objective of this research is to compare the performance of ISFET biosensors of different nanoelectronics structure in terms of settling time, sensitivity, and selectivity. In this project, an open-source software, nanohub BioSensorLab was used to simulate the settling time, sensitivity, and selectivity of the biosensors. The target proteins are Liposome and Bovine serum albumin (BSA) while the bioreceptor is collagen. Different structures of ISFET biosensor were simulated and analysed, which are planar ISFET, cylindrical nanowire, nanosphere and double-gate FET biosensors. In this research, the impact of proteins’ diffusion coefficient, structures of biosensor and analyte concentration towards the settling time was analysed. Next, the sensitivity relied on the structures of biosensor. Therefore, the analysis carried out independently for different structures of biosensor. Selectivity is determined by the size of receptor molecules and parasitic molecules, concentration of target molecules and parasitic molecules. From the simulation results, the settling time decreased when analyte concentration and protein diffusion coefficient increased. In addition, the settling time increased from planar and double-gate, cylindrical nanowire to nanosphere biosensor. To obtain high sensitivity in planar ISFET biosensor, the width and the electrolyte concentration are increased while the oxide thickness and the length are decreased. For cylindrical nanowire biosensor, increasing the radius, oxide thickness and reducing the buffer ion concentration can improve the sensitivity. To obtain high sensitivity in double-gate FET, the width, back oxide thickness, and silicon body thickness need to increase while the length and top oxide thickness need to decrease. The selectivity is the same regardless of the ISFET structures. High selectivity can be obtained by increasing the size of receptor and parasitic molecules, concentration of target molecules, and decreasing the concentration of parasitic molecules. Diffusion coefficient of proteins have no impact towards the sensitivity and selectivity of ISFET biosensors. 2022 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/99477/1/LamYiLingMSKE2022.pdf Lam, Yi Ling (2022) Performance analysis of ISFET biosensor with different structures. Masters thesis, Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150028
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Lam, Yi Ling Performance analysis of ISFET biosensor with different structures
description	Ion-sensitive field-effect transistor (ISFET) biosensor has gained popularity in clinical research field for biomolecules detection due to its high detection sensitivity, mass-production capability, and low manufacturing cost. Proteins are needed by all living cells for structural and functional purposes. However, some proteins such as Bovine Serum Albumin (BSA) can cause allergic reactions in human body. Besides, instability of Liposome may result in medication leaks that could harm cells. The first objective of this project is to study the effect of different proteins on the performance of different structures of ISFET biosensor. There are several limitations of ISFET biosensor such as lack of good solid-state electrodes, parasitic sensitivity to temperature and light and time dependent instability of sensor parameters. Enhancement on ISFET structures could be a good approach to improve the ISFET performance. The second objective of this research is to compare the performance of ISFET biosensors of different nanoelectronics structure in terms of settling time, sensitivity, and selectivity. In this project, an open-source software, nanohub BioSensorLab was used to simulate the settling time, sensitivity, and selectivity of the biosensors. The target proteins are Liposome and Bovine serum albumin (BSA) while the bioreceptor is collagen. Different structures of ISFET biosensor were simulated and analysed, which are planar ISFET, cylindrical nanowire, nanosphere and double-gate FET biosensors. In this research, the impact of proteins’ diffusion coefficient, structures of biosensor and analyte concentration towards the settling time was analysed. Next, the sensitivity relied on the structures of biosensor. Therefore, the analysis carried out independently for different structures of biosensor. Selectivity is determined by the size of receptor molecules and parasitic molecules, concentration of target molecules and parasitic molecules. From the simulation results, the settling time decreased when analyte concentration and protein diffusion coefficient increased. In addition, the settling time increased from planar and double-gate, cylindrical nanowire to nanosphere biosensor. To obtain high sensitivity in planar ISFET biosensor, the width and the electrolyte concentration are increased while the oxide thickness and the length are decreased. For cylindrical nanowire biosensor, increasing the radius, oxide thickness and reducing the buffer ion concentration can improve the sensitivity. To obtain high sensitivity in double-gate FET, the width, back oxide thickness, and silicon body thickness need to increase while the length and top oxide thickness need to decrease. The selectivity is the same regardless of the ISFET structures. High selectivity can be obtained by increasing the size of receptor and parasitic molecules, concentration of target molecules, and decreasing the concentration of parasitic molecules. Diffusion coefficient of proteins have no impact towards the sensitivity and selectivity of ISFET biosensors.
format	Thesis
author	Lam, Yi Ling
author_facet	Lam, Yi Ling
author_sort	Lam, Yi Ling
title	Performance analysis of ISFET biosensor with different structures
title_short	Performance analysis of ISFET biosensor with different structures
title_full	Performance analysis of ISFET biosensor with different structures
title_fullStr	Performance analysis of ISFET biosensor with different structures
title_full_unstemmed	Performance analysis of ISFET biosensor with different structures
title_sort	performance analysis of isfet biosensor with different structures
publishDate	2022
url	http://eprints.utm.my/id/eprint/99477/1/LamYiLingMSKE2022.pdf http://eprints.utm.my/id/eprint/99477/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150028
_version_	1758966903449059328
score	13.211869

Performance analysis of ISFET biosensor with different structures

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