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http://hdl.handle.net/11375/27869
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DC Field | Value | Language |
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dc.contributor.advisor | Srinivasan, Seshasai | - |
dc.contributor.advisor | Rajabzadeh, Amin Reza | - |
dc.contributor.author | Gomez Cardoso, Ana | - |
dc.date.accessioned | 2022-09-26T19:21:37Z | - |
dc.date.available | 2022-09-26T19:21:37Z | - |
dc.date.issued | 2022-11 | - |
dc.identifier.uri | http://hdl.handle.net/11375/27869 | - |
dc.description.abstract | Cocaine is one of the most abused drugs worldwide, with over 20 million users in 2019. The use of cocaine leads to various health conditions and death due to overconsumption. Existing detection technologies fall short of meeting the guidelines set by organizations regarding a practical roadside cocaine detection device. Herein, a novel electrochemical cocaine detection method is presented using the electroactive characteristics of the cocaine molecule that does not require any biomolecules or chemicals for detection. This research implements the cocaine-modified carbon working electrodes to detect cocaine using Cyclic Voltammetry in phosphate buffer solution and human saliva. The affinity of the cocaine samples to the cocaine-modified screen printed electrodes is demonstrated with the support and implementation of machine learning. The proposed cocaine detection was used to detect concentrations from 10 to 1000 ng/mL. Furthermore, the successful detection of cocaine in the presence of various interfering substances revealed that the present study is highly specific and promising for developing a roadside oral fluid cocaine detection kit. | en_US |
dc.language.iso | en | en_US |
dc.subject | electrochemistry | en_US |
dc.subject | cocaine | en_US |
dc.subject | sensors | en_US |
dc.subject | cyclic voltammetry | en_US |
dc.subject | illicit substances | en_US |
dc.title | TARGET ANALYTE-ASSISTED SENSITIVE ELECTROCHEMICAL DETECTION OF COCAINE USING SCREEN PRINTED ELECTRODES | en_US |
dc.title.alternative | ELECTROCHEMICAL DETECTION OF COCAINE ON SCREEN PRINTED ELECTRODES | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Mechanical Engineering | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Master of Applied Science (MASc) | en_US |
dc.description.layabstract | Cocaine is one of the most abused drugs worldwide causing various health complications and death due to overconsumption. The detection of cocaine in biological fluid or hair is often a complicated and expensive procedure that is time-consuming. The use of electrochemical techniques allows for the rapid detection of cocaine. By focusing on using saliva, the process is facilitated given that it is the easiest fluid to collect from individuals. In this thesis, a new method of cocaine detection in saliva is presented using electrochemistry and modification of the device to detect very low concentrations of the illicit substance. The combined use of electrochemical techniques and machine learning resulted in the successful development of a method to detect very low concentrations of cocaine in saliva. | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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GomezCardoso_Ana_F_2022September_MASc_MechanicalEngineering.pdf | Ana Gomez Cardoso MASc. Thesis on Electrochemical Cocaine Sensing in Saliva | 5.01 MB | Adobe PDF | View/Open |
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