BEASLEY, Emma (2018). Detection and Mapping of Cannabis Use in Hair Samples Using Mass Spectrometry. Doctoral, Sheffield Hallam University. [Thesis]
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Beasley_2018_PhD_DetectionAndMapping.pdf - Accepted Version
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Beasley_2018_PhD_DetectionAndMapping.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.
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Abstract
Hair differs from other human materials used for toxicological analysis, such as blood
or urine, because of its substantially longer window of detection (months to years)
enabling retrospective investigations of drug consumption. Due to its solid and durable
nature, hair may be analysed centuries after growth with little degradation. Other
advantages of hair analysis include the non-invasiveness of its collection, which is of
particular importance in infant/child investigations and the ease of sample storage.
Although hair analysis offers the potential to reveal information which is not possible
with other biological matrices, it also suffers from some unique limitations that can
make interpretation of findings challenging. These are largely due to exposure of hair
to the environment before analysis can take place.
Current analytical techniques allow detection and quantification of cannabinoids in
hair samples. Frequently used techniques include gas chromatography mass
spectrometry and liquid chromatography mass spectrometry. The majority of studies
exclusively analyse the natural products Δ9-tetrahydrocannabinol (THC), Cannabinol
(CBN), cannabidiol (CBD) or the metabolite 11-nor-9-carboxy-tetrahydrocannabinol
(THC-COOH).
In this thesis THC, CBD, CBN, THC-COOH and the additional metabolite 11-Hydroxydelta-
9-tetrahydrocannabinol (11-OH-THC) have been simultaneously detected and
quantified in authentic hair samples using a novel atmospheric pressure chemical
ionisation method coupled to gas chromatography mass spectrometry. The results of
these findings are compared to self-report data and are largely found to be in
concordance, with some anomalies. In addition, several strategies to overcome the
complication of external contamination of hair samples were trialled and compared to
self-report data.
In this thesis there is also an investigation presented to demonstrate the in-situ
derivatisation of cannabinoids using matrix-assisted laser desorption ionisation
(MALDI). This is the first time a hair has been analysed for cannabinoids using MALDI
and the first example of in situ derivatisation for hair samples.
The addition of an N-methylpyridium group results in improved ionisation efficiency,
permitting both detection and mapping of Δ9-tetrahydrocannabinol (THC), Cannabinol
(CBN), cannabidiol (CBD) and the metabolites 11-nor-9-carboxy-tetrahydrocannabinol
(THC-COOH), 11-Hydroxy-delta-9-tetrahydrocannabinol (11-OH-THC) and 11-nordelta(
9)-carboxy-tetrahydrocannabinol glucuronide (THC-COO-gluc) in single hair
samples.
Additionally, for the first time an in-source re-arrangement of THC is reported and
characterised in this thesis, thus contributing new knowledge in the analysis of this
drug by MALDI mass spectrometry.
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