Physical analysis and chemical profiling of illicit herbal cannabis using multivariate analysis

An important aspect in forensic analysis is drug profiling. Information regarding the chemical properties of seized drug samples can be accumulated, which provides intelligence information to assist law enforcement agencies. Such information can be used to combat drug trafficking and abuse. In this...

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Main Authors: Ahmad, Umi Kalthom, Muniandy, Yuvendran, Hassan, Mohd. Sukri
Format: Article
Published: School of Health Sciences, Universiti Sains Malaysia 2014
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Online Access:http://eprints.utm.my/id/eprint/59884/
http://forensics.org.my/mjofs/volume5no1.php
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.598842022-04-10T02:55:19Z http://eprints.utm.my/id/eprint/59884/ Physical analysis and chemical profiling of illicit herbal cannabis using multivariate analysis Ahmad, Umi Kalthom Muniandy, Yuvendran Hassan, Mohd. Sukri QD Chemistry An important aspect in forensic analysis is drug profiling. Information regarding the chemical properties of seized drug samples can be accumulated, which provides intelligence information to assist law enforcement agencies. Such information can be used to combat drug trafficking and abuse. In this study, twenty three illicit cannabis samples seized from Selangor and suburbs of Kuala Lumpur which were submitted to the Department of Chemistry Malaysia were analyzed. All cannabis samples were extracted using methanol-chloroform mixture in a ratio of 9:1. High performance liquid chromatographic (HPLC) technique was used to separate cannabinoids in illicit herbal cannabis samples using Onyx Monolithic column. Mobile phase consisting of methanolwater (75:25) was used as the eluent at a flow rate of 0.8 mL/min and analytes detected at 220 nm. Analysis of reproducibility of retention time and peak area has validated the robustness of silica based monolithic column for HPLC analysis of cannabis. Peak areas of the cannabis extracts were used to profile illicit cannabis samples. Profiling of cannabis samples were established using cluster analysis and principal component analysis (PCA). Results from cluster analysis suggest that the illicit cannabis samples could have originated from five different geographical origins. Although PCA produced almost similar groupings like cluster analysis, but is not a suitable tool for analysing small set of data. PCA is more suited to decompose large data set with more variables. Classification model from this work suggests that plant material from one geographical origin can be trafficked by different means of route. School of Health Sciences, Universiti Sains Malaysia 2014 Article PeerReviewed Ahmad, Umi Kalthom and Muniandy, Yuvendran and Hassan, Mohd. Sukri (2014) Physical analysis and chemical profiling of illicit herbal cannabis using multivariate analysis. Malaysian Journal of Forensic Sciences, 5 (1). pp. 26-34. ISSN 2180-1126 http://forensics.org.my/mjofs/volume5no1.php
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QD Chemistry
spellingShingle QD Chemistry
Ahmad, Umi Kalthom
Muniandy, Yuvendran
Hassan, Mohd. Sukri
Physical analysis and chemical profiling of illicit herbal cannabis using multivariate analysis
description An important aspect in forensic analysis is drug profiling. Information regarding the chemical properties of seized drug samples can be accumulated, which provides intelligence information to assist law enforcement agencies. Such information can be used to combat drug trafficking and abuse. In this study, twenty three illicit cannabis samples seized from Selangor and suburbs of Kuala Lumpur which were submitted to the Department of Chemistry Malaysia were analyzed. All cannabis samples were extracted using methanol-chloroform mixture in a ratio of 9:1. High performance liquid chromatographic (HPLC) technique was used to separate cannabinoids in illicit herbal cannabis samples using Onyx Monolithic column. Mobile phase consisting of methanolwater (75:25) was used as the eluent at a flow rate of 0.8 mL/min and analytes detected at 220 nm. Analysis of reproducibility of retention time and peak area has validated the robustness of silica based monolithic column for HPLC analysis of cannabis. Peak areas of the cannabis extracts were used to profile illicit cannabis samples. Profiling of cannabis samples were established using cluster analysis and principal component analysis (PCA). Results from cluster analysis suggest that the illicit cannabis samples could have originated from five different geographical origins. Although PCA produced almost similar groupings like cluster analysis, but is not a suitable tool for analysing small set of data. PCA is more suited to decompose large data set with more variables. Classification model from this work suggests that plant material from one geographical origin can be trafficked by different means of route.
format Article
author Ahmad, Umi Kalthom
Muniandy, Yuvendran
Hassan, Mohd. Sukri
author_facet Ahmad, Umi Kalthom
Muniandy, Yuvendran
Hassan, Mohd. Sukri
author_sort Ahmad, Umi Kalthom
title Physical analysis and chemical profiling of illicit herbal cannabis using multivariate analysis
title_short Physical analysis and chemical profiling of illicit herbal cannabis using multivariate analysis
title_full Physical analysis and chemical profiling of illicit herbal cannabis using multivariate analysis
title_fullStr Physical analysis and chemical profiling of illicit herbal cannabis using multivariate analysis
title_full_unstemmed Physical analysis and chemical profiling of illicit herbal cannabis using multivariate analysis
title_sort physical analysis and chemical profiling of illicit herbal cannabis using multivariate analysis
publisher School of Health Sciences, Universiti Sains Malaysia
publishDate 2014
url http://eprints.utm.my/id/eprint/59884/
http://forensics.org.my/mjofs/volume5no1.php
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