Author(s):
Hangane Ronald, Ketan Patil, Astha Pandey
Email(s):
forensicsketan@gmail.com
DOI:
10.52711/0974-360X.2023.00481 
Address:
Hangane Ronald1, Ketan Patil1*, Astha Pandey2
1Postgraduate Student, School of Forensic Science, National Forensic Sciences University, Gandhinagar 382007, Gujarat, India.
2Senior Research Fellow, School of Forensic Science, National Forensic Sciences University,
Gandhinagar 382007, Gujarat, India.
2Associate Professor and Head, School of Forensic Sciences and COE NDPS, National Forensic Sciences University, Gandhinagar 382007, Gujarat, India.
*Corresponding Author
Published In:
Volume - 16,
Issue - 6,
Year - 2023
ABSTRACT:
Narcotic drugs and psychotropic substances (NDPS) are in high demand in today's culture, particularly among youngsters. The application of science and technology in the illicit drug trade makes them more accessible to drug addicts. Tablets, sticky/non-sticky gels, resins, liquids, and other forms of NDPS are all available. Some medications are produced naturally, while others are manufactured in secret facilities. It is critical to conduct a systematic analysis of such medications in order to recognise them. Chromatography, spectroscopy, voltammetry, and other techniques are utilised in this type of analysis. Cannabis sativa is a flowering plant that includes a variety of compounds known as cannabinoids. Cannabinoids found in this plant include cannabidiol, cannabinol, delta-9-tetrahydrocannabinol, cannabigerol, and others. Cannabis has psychotropic characteristics that cause hallucinatory effects when consumed. The goal of this study is to identify Cannabis sativa using presumptive analysis, such as colour testing and thin layer chromatography, followed by confirmatory analysis using gas chromatography mass spectrometry. The same method can also be used to detect various cannabis samples collected in forensic laboratories.
Cite this article:
Hangane Ronald, Ketan Patil, Astha Pandey. Detection of Cannabis sativa by various Analytical Techniques. Research Journal of Pharmacy and Technology 2023; 16(6):2917-0. doi: 10.52711/0974-360X.2023.00481
Cite(Electronic):
Hangane Ronald, Ketan Patil, Astha Pandey. Detection of Cannabis sativa by various Analytical Techniques. Research Journal of Pharmacy and Technology 2023; 16(6):2917-0. doi: 10.52711/0974-360X.2023.00481 Available on: https://rjptonline.org/AbstractView.aspx?PID=2023-16-6-59
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