Enzymatic Digestion and Selective Quantification of Underivatised Delta-9-Tetrahydrocannabinol and Cocaine in Human Hair Using Gas Chromatography-Mass Spectrometry
Gas chromatography-mass spectrometric (GC-MS) methods for drug analysis routinely employ derivatising reagents. The aim of this paper was to develop a method for the analysis of two recreational drugs, delta-9-tetrahydrocannabinol (Δ9-THC) and cocaine in hair samples using GC-MS, without prior deriv...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2012-01-01
|
Series: | Journal of Analytical Methods in Chemistry |
Online Access: | http://dx.doi.org/10.1155/2012/907893 |
id |
doaj-9a2d5f3802ca464ba96279bb41bcd782 |
---|---|
record_format |
Article |
spelling |
doaj-9a2d5f3802ca464ba96279bb41bcd7822020-11-25T01:18:05ZengHindawi LimitedJournal of Analytical Methods in Chemistry2090-88652090-88732012-01-01201210.1155/2012/907893907893Enzymatic Digestion and Selective Quantification of Underivatised Delta-9-Tetrahydrocannabinol and Cocaine in Human Hair Using Gas Chromatography-Mass SpectrometrySalah Eddine Breidi0James Barker1Andrea Petróczi2Declan P. Naughton3School of Pharmacy and Chemistry, Kingston University, Penrhyn Road, London KT1 2EE, UKSchool of Pharmacy and Chemistry, Kingston University, Penrhyn Road, London KT1 2EE, UKSchool of Life Sciences, Kingston University, Penrhyn Road, London KT1 2EE, UKSchool of Life Sciences, Kingston University, Penrhyn Road, London KT1 2EE, UKGas chromatography-mass spectrometric (GC-MS) methods for drug analysis routinely employ derivatising reagents. The aim of this paper was to develop a method for the analysis of two recreational drugs, delta-9-tetrahydrocannabinol (Δ9-THC) and cocaine in hair samples using GC-MS, without prior derivatisation, thus allowing the sample to be reanalysed in its original form. An enzymatic digestion technique was also developed. Ten hair samples, that were known positive for either Δ9-THC and/or cocaine, were enzymatically digested, extracted, and then analysed by GC-MS. All samples measured contained Δ9-THC and one sample contained cocaine. The limits of detection (LOD) and quantification (LOQ) were 0.02 ng/mg and 0.05 ng/mg, respectively, for cocaine and 0.015 ng/mg and 0.02 ng/mg, respectively, for Δ9-THC. The wide detection window, ease of direct analysis by GC-MS, lower detection limits of underivatised samples, and the stability of drugs using this technique may offer an improved method of analysis.http://dx.doi.org/10.1155/2012/907893 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Salah Eddine Breidi James Barker Andrea Petróczi Declan P. Naughton |
spellingShingle |
Salah Eddine Breidi James Barker Andrea Petróczi Declan P. Naughton Enzymatic Digestion and Selective Quantification of Underivatised Delta-9-Tetrahydrocannabinol and Cocaine in Human Hair Using Gas Chromatography-Mass Spectrometry Journal of Analytical Methods in Chemistry |
author_facet |
Salah Eddine Breidi James Barker Andrea Petróczi Declan P. Naughton |
author_sort |
Salah Eddine Breidi |
title |
Enzymatic Digestion and Selective Quantification of Underivatised Delta-9-Tetrahydrocannabinol and Cocaine in Human Hair Using Gas Chromatography-Mass Spectrometry |
title_short |
Enzymatic Digestion and Selective Quantification of Underivatised Delta-9-Tetrahydrocannabinol and Cocaine in Human Hair Using Gas Chromatography-Mass Spectrometry |
title_full |
Enzymatic Digestion and Selective Quantification of Underivatised Delta-9-Tetrahydrocannabinol and Cocaine in Human Hair Using Gas Chromatography-Mass Spectrometry |
title_fullStr |
Enzymatic Digestion and Selective Quantification of Underivatised Delta-9-Tetrahydrocannabinol and Cocaine in Human Hair Using Gas Chromatography-Mass Spectrometry |
title_full_unstemmed |
Enzymatic Digestion and Selective Quantification of Underivatised Delta-9-Tetrahydrocannabinol and Cocaine in Human Hair Using Gas Chromatography-Mass Spectrometry |
title_sort |
enzymatic digestion and selective quantification of underivatised delta-9-tetrahydrocannabinol and cocaine in human hair using gas chromatography-mass spectrometry |
publisher |
Hindawi Limited |
series |
Journal of Analytical Methods in Chemistry |
issn |
2090-8865 2090-8873 |
publishDate |
2012-01-01 |
description |
Gas chromatography-mass spectrometric (GC-MS) methods for drug analysis routinely employ derivatising reagents. The aim of this paper was to develop a method for the analysis of two recreational drugs, delta-9-tetrahydrocannabinol (Δ9-THC) and cocaine in hair samples using GC-MS, without prior derivatisation, thus allowing the sample to be reanalysed in its original form. An enzymatic digestion technique was also developed. Ten hair samples, that were known positive for either Δ9-THC and/or cocaine, were enzymatically digested, extracted, and then analysed by GC-MS. All samples measured contained Δ9-THC and one sample contained cocaine. The limits of detection (LOD) and quantification (LOQ) were 0.02 ng/mg and 0.05 ng/mg, respectively, for cocaine and 0.015 ng/mg and 0.02 ng/mg, respectively, for Δ9-THC. The wide detection window, ease of direct analysis by GC-MS, lower detection limits of underivatised samples, and the stability of drugs using this technique may offer an improved method of analysis. |
url |
http://dx.doi.org/10.1155/2012/907893 |
work_keys_str_mv |
AT salaheddinebreidi enzymaticdigestionandselectivequantificationofunderivatiseddelta9tetrahydrocannabinolandcocaineinhumanhairusinggaschromatographymassspectrometry AT jamesbarker enzymaticdigestionandselectivequantificationofunderivatiseddelta9tetrahydrocannabinolandcocaineinhumanhairusinggaschromatographymassspectrometry AT andreapetroczi enzymaticdigestionandselectivequantificationofunderivatiseddelta9tetrahydrocannabinolandcocaineinhumanhairusinggaschromatographymassspectrometry AT declanpnaughton enzymaticdigestionandselectivequantificationofunderivatiseddelta9tetrahydrocannabinolandcocaineinhumanhairusinggaschromatographymassspectrometry |
_version_ |
1725143823829434368 |