Molecularly Imprinted Polymers (MIP) Combined with Raman Spectroscopy for Selective Detection of Δ⁹-tetrahydrocannabinol (THC)

dc.contributor.authorYeganegi, Arian
dc.contributor.supervisorHoorfar, Mina
dc.date.accessioned2023-08-10T22:44:22Z
dc.date.available2023-08-10T22:44:22Z
dc.date.copyright2023en_US
dc.date.issued2023-08-10
dc.degree.departmentDepartment of Mechanical Engineeringen_US
dc.degree.levelMaster of Applied Science M.A.Sc.en_US
dc.description.abstractThis 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.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/15249
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectMolecularly imprinted polymer (MIP)en_US
dc.subjectRaman spectroscopyen_US
dc.subjectTHC detectionen_US
dc.titleMolecularly Imprinted Polymers (MIP) Combined with Raman Spectroscopy for Selective Detection of Δ⁹-tetrahydrocannabinol (THC)en_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Yeganegi_Arian_MASc_2023.pdf
Size:
1.98 MB
Format:
Adobe Portable Document Format
Description:
MASc Thesis
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2 KB
Format:
Item-specific license agreed upon to submission
Description: