Dopamine sensing in artificial neurons

Dopamine is a key molecule in neurotransmission, that is produced in the substantia nigra, ventral tegmental area, and hypothalamus of the brain. Dysfunction of the dopamine system has been implicated in different nervous system diseases. Hence, a sensitive and selective method of detection is impor...

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Main Author: Tan, Candy Hui Fang
Other Authors: Chen Xiaodong
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
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Online Access:https://hdl.handle.net/10356/140520
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1405202023-03-04T15:50:50Z Dopamine sensing in artificial neurons Tan, Candy Hui Fang Chen Xiaodong School of Materials Science and Engineering chenxd@ntu.edu.sg Engineering::Materials Dopamine is a key molecule in neurotransmission, that is produced in the substantia nigra, ventral tegmental area, and hypothalamus of the brain. Dysfunction of the dopamine system has been implicated in different nervous system diseases. Hence, a sensitive and selective method of detection is important for the early diagnosis of diseases related to abnormal levels of dopamine. More importantly, in neuron cells, dopamine receptors do not work alone. It recognizes dopamine, which eventually triggers action potential and the release of dopamine in the vesicles. Research methods have shown limitations in the integration of other elements into the sensor. As such, this project aims to create a sensor that is flexible and able to integrate elements like a Resistive Random Access Memory and a Heater for Hydrogel to release Dopamine, to create a system similar to that of a neuron cell. Graphene Oxide and Carbon Nanotube were synthesised to various ratios and used on the ends of a working electrode to detect dopamine in the electrochemical sensor. These materials were characterised using Amperometry to determine their sensitivity towards the presence of dopamine. Samples of Uric Acid, Dopamine and Ascorbic Acid were used to mimic the human body’s biological fluids to test the selectivity of the sample material, using Cyclic Voltammetry. The balance between high sensitivity and selectivity is the determining factor for the best material to be used to sense dopamine in this report. Bachelor of Engineering (Materials Engineering) 2020-05-29T11:47:08Z 2020-05-29T11:47:08Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/140520 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::Materials
spellingShingle Engineering::Materials
Tan, Candy Hui Fang
Dopamine sensing in artificial neurons
description Dopamine is a key molecule in neurotransmission, that is produced in the substantia nigra, ventral tegmental area, and hypothalamus of the brain. Dysfunction of the dopamine system has been implicated in different nervous system diseases. Hence, a sensitive and selective method of detection is important for the early diagnosis of diseases related to abnormal levels of dopamine. More importantly, in neuron cells, dopamine receptors do not work alone. It recognizes dopamine, which eventually triggers action potential and the release of dopamine in the vesicles. Research methods have shown limitations in the integration of other elements into the sensor. As such, this project aims to create a sensor that is flexible and able to integrate elements like a Resistive Random Access Memory and a Heater for Hydrogel to release Dopamine, to create a system similar to that of a neuron cell. Graphene Oxide and Carbon Nanotube were synthesised to various ratios and used on the ends of a working electrode to detect dopamine in the electrochemical sensor. These materials were characterised using Amperometry to determine their sensitivity towards the presence of dopamine. Samples of Uric Acid, Dopamine and Ascorbic Acid were used to mimic the human body’s biological fluids to test the selectivity of the sample material, using Cyclic Voltammetry. The balance between high sensitivity and selectivity is the determining factor for the best material to be used to sense dopamine in this report.
author2 Chen Xiaodong
author_facet Chen Xiaodong
Tan, Candy Hui Fang
format Final Year Project
author Tan, Candy Hui Fang
author_sort Tan, Candy Hui Fang
title Dopamine sensing in artificial neurons
title_short Dopamine sensing in artificial neurons
title_full Dopamine sensing in artificial neurons
title_fullStr Dopamine sensing in artificial neurons
title_full_unstemmed Dopamine sensing in artificial neurons
title_sort dopamine sensing in artificial neurons
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/140520
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