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Extraction and detection of delta 9-tetrahydrocannabinol from cannabidiol oils using GC/MS

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TitleInfo
Title
Extraction and detection of delta 9-tetrahydrocannabinol from cannabidiol oils using GC/MS
Name (type = personal)
NamePart (type = family)
Fagan
NamePart (type = given)
Shavari
NamePart (type = date)
1996
DisplayForm
Shavari Fagan
Role
RoleTerm (type = text); (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Moran
NamePart (type = given)
Kimberlee S
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Kimberlee S Moran
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
chair
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Camden Graduate School
Role
RoleTerm (authority = RULIB)
school
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Text
Genre (authority = marcgt)
theses
Genre (authority = ExL-Esploro)
External ETD graduate
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2021
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2021-01
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English
Abstract
The process of detecting delta 9- tetrahydrocannabinol (THC) from CBD oil involves many different factors. Recently, a lot of research has been done in detecting THC in different cannabis products, however very little has been done to detect and even quantify THC from CBD oils. This study set out to validate an already established method and use this method to detect THC from hemp oils that claim not to contain THC on their labels. In order to do this the samples were extracted using a liquid-liquid extraction technique. The method validation consisted of determining the limit of detection (LOD) of CBD and THC and also the precision. Five calibrators were made at different concentrations ranging from 0.1-5 µg/ml. Positive and negative controls were also made to ensure that the experiment was working properly.

Three different blank oils consisting of olive oil, almond oil and coconut oil were used to conduct the validation study. These samples were done in duplicates as well and the instrument used to conduct this study was the gas chromatograph-mass spectrometer (GC-MS). The LOD study was not able to be completed due to time constraints. The lowest concentration of CBD and THC that was analyzed was at 0.1 µg/ml. The retention times of CBD and THC were found to be 12.856 and 13.654 minutes respectively. The percentage coefficient of variation (%CV) was calculated for each oil at their respective concentrations using the peak areas of THC and CBD in order to find precision. It was noted that the majority of the samples had a %CV within 20%, which indicates decent precision; however, some samples were beyond that percentage due to complications in the extraction process creating fluctuations in the peak areas at each concentration analyzed.

After the LOD study was completed 6 different hemp oil samples were extracted and run as well using the same method. Results from these runs found that neither CBD nor THC was not detected in these oil samples. As a result, further studies that need to be done to enhance the extraction procedure and method to make it fully efficient.
Subject (authority = local)
Topic
Extraction
Subject (authority = RUETD)
Topic
Forensic Science
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Rutgers University Electronic Theses and Dissertations
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ETD_11438
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application/pdf
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Note
Supplementary File: Extraction and Detection of Delta 9-Tetrahydrocannabino from Cannabidiol Oils using GC/MS
Extent
1 online resource (v, 36 pages)
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
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TitleInfo
Title
Camden Graduate School Electronic Theses and Dissertations
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rucore10005600001
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-wg1c-tk94
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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Fagan
GivenName
Shavari
Role
Copyright Holder
RightsEvent
Type
Permission or license
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2021-01-05 17:34:14
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Name
Shavari Fagan
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Copyright holder
Affiliation
Rutgers University. Camden Graduate School
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
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Copyright protected
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Open
Reason
Permission or license
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