Molecularly Imprinted Polymers (MIP) Combined with Raman Spectroscopy for Selective Detection of Δ⁹-tetrahydrocannabinol (THC)
dc.contributor.author | Yeganegi, Arian | |
dc.contributor.supervisor | Hoorfar, Mina | |
dc.date.accessioned | 2023-08-10T22:44:22Z | |
dc.date.available | 2023-08-10T22:44:22Z | |
dc.date.copyright | 2023 | en_US |
dc.date.issued | 2023-08-10 | |
dc.degree.department | Department of Mechanical Engineering | en_US |
dc.degree.level | Master of Applied Science M.A.Sc. | en_US |
dc.description.abstract | This thesis presents the development of a proof-of-concept sensor for the sensitive and selective detection of Trans-Δ⁹-tetrahydrocannabinol (THC) using a molecularly imprinted polymer (MIP) synthesized with a THC template. The sensor combines MIP technology with Raman spectroscopy to achieve label-free monitoring of THC based on a single identifying Raman peak. The MIP sensor exhibits a prominent peak at 1614 cm-1 in the Raman spectrum, attributed to the THC target molecule, enabling the selective quantification of bound THC with a low detection limit of 250 ppm. Comparative studies with a non-imprinted polymer (NIP) control demonstrate higher sensitivity of the MIP to the THC target molecule (67% higher average intensity), confirming the presence of THC-specific recognition sites within the synthesized MIP material. Additionally, the selectivity of the MIP-based sensor is demonstrated by analyzing the Raman spectrum of MIP exposed to Cannabidiol (CBD), ethanol, and acetone. | en_US |
dc.description.scholarlevel | Graduate | en_US |
dc.identifier.uri | http://hdl.handle.net/1828/15249 | |
dc.language | English | eng |
dc.language.iso | en | en_US |
dc.rights | Available to the World Wide Web | en_US |
dc.subject | Molecularly imprinted polymer (MIP) | en_US |
dc.subject | Raman spectroscopy | en_US |
dc.subject | THC detection | en_US |
dc.title | Molecularly Imprinted Polymers (MIP) Combined with Raman Spectroscopy for Selective Detection of Δ⁹-tetrahydrocannabinol (THC) | en_US |
dc.type | Thesis | en_US |