Development and characterisation of a nanoparticle-based sensor & microneedle-based sensor for codeine monitoring
Drug addiction is a significant global public health concern, with codeine abuse being a leading contributor to this issue. The effective monitoring and control of opioids necessitates the development of rapid, sensitive, and specific detection techniques. This report aims to confirm the efficacy of...
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2023
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sg-ntu-dr.10356-1679422023-07-07T15:46:05Z Development and characterisation of a nanoparticle-based sensor & microneedle-based sensor for codeine monitoring Zhang, Haihui Poenar Daniel Puiu School of Electrical and Electronic Engineering epdpuiu@ntu.edu.sg Engineering::Electrical and electronic engineering Drug addiction is a significant global public health concern, with codeine abuse being a leading contributor to this issue. The effective monitoring and control of opioids necessitates the development of rapid, sensitive, and specific detection techniques. This report aims to confirm the efficacy of nanoparticle-based sensors with modified screen-printed carbon electrodes and microneedle-based sensors for monitoring codeine. In this investigation, we utilized modified screen-printed electrodes as highly specific and sensitive electrochemical sensors to quantify codeine using differential pulse voltammetry. Our results indicate a detection limit of 0.0005 μM, a linear range of 0.0005-0.005 μM, and favorable selectivity between AA(Ascorbic acid) and UA (Uric acid). Additionally, we investigated the sensor's performance when combined with a microneedle system. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-06-05T08:10:27Z 2023-06-05T08:10:27Z 2023 Final Year Project (FYP) Zhang, H. (2023). Development and characterisation of a nanoparticle-based sensor & microneedle-based sensor for codeine monitoring. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167942 https://hdl.handle.net/10356/167942 en application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering Zhang, Haihui Development and characterisation of a nanoparticle-based sensor & microneedle-based sensor for codeine monitoring |
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Drug addiction is a significant global public health concern, with codeine abuse being a leading contributor to this issue. The effective monitoring and control of opioids necessitates the development of rapid, sensitive, and specific detection techniques. This report aims to confirm the efficacy of nanoparticle-based sensors with modified screen-printed carbon electrodes and microneedle-based sensors for monitoring codeine.
In this investigation, we utilized modified screen-printed electrodes as highly specific and sensitive electrochemical sensors to quantify codeine using differential pulse voltammetry. Our results indicate a detection limit of 0.0005 μM, a linear range of 0.0005-0.005 μM, and favorable selectivity between AA(Ascorbic acid) and UA (Uric acid). Additionally, we investigated the sensor's performance when combined with a microneedle system. |
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Poenar Daniel Puiu |
author_facet |
Poenar Daniel Puiu Zhang, Haihui |
format |
Final Year Project |
author |
Zhang, Haihui |
author_sort |
Zhang, Haihui |
title |
Development and characterisation of a nanoparticle-based sensor & microneedle-based sensor for codeine monitoring |
title_short |
Development and characterisation of a nanoparticle-based sensor & microneedle-based sensor for codeine monitoring |
title_full |
Development and characterisation of a nanoparticle-based sensor & microneedle-based sensor for codeine monitoring |
title_fullStr |
Development and characterisation of a nanoparticle-based sensor & microneedle-based sensor for codeine monitoring |
title_full_unstemmed |
Development and characterisation of a nanoparticle-based sensor & microneedle-based sensor for codeine monitoring |
title_sort |
development and characterisation of a nanoparticle-based sensor & microneedle-based sensor for codeine monitoring |
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Nanyang Technological University |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/167942 |
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1772825747895877632 |