Abstract:
:Elemental composition of 85 cannabis samples was established using GF AAS and ICP OES methods. The robustness of the method was determined by analyzing eight independently prepared replicates from a single cannabis plant. The accuracy of the method was established by analyzing four plant certified reference material samples. The ability of discriminant analysis using elemental compositions to distinguish between fiber cannabis samples collected from four different regions of Poland was evaluated. Then, a classification model was developed that correctly classified selected samples of known origin. Cannabis samples confiscated by law enforcement agencies have also been subjected to discriminant analysis. A classification model has been developed for four locations in Poland (Białystok, Kościerzyna, the environs of Skarżysko Kamienna, and Bydgoszcz), to help determine where samples of unknown origin could have been grown.
journal_name
J Forensic Scijournal_title
Journal of forensic sciencesauthors
Kuras MJ,Wachowicz MJdoi
10.1111/j.1556-4029.2011.01772.xsubject
Has Abstractpub_date
2011-09-01 00:00:00pages
1250-5issue
5eissn
0022-1198issn
1556-4029journal_volume
56pub_type
杂志文章abstract::The Office of the Chief Coroner for Ontario database for 2011-2012 was used to compare fatal injury patterns in drivers whose third-generation airbags deployed compared to first- and second-generation airbag deployments and airbag nondeployments with and without seatbelt use. There were 110 frontal and offset frontal ...
journal_title:Journal of forensic sciences
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journal_title:Journal of forensic sciences
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journal_title:Journal of forensic sciences
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journal_title:Journal of forensic sciences
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journal_title:Journal of forensic sciences
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journal_title:Journal of forensic sciences
pub_type: 杂志文章
doi:
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journal_title:Journal of forensic sciences
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journal_title:Journal of forensic sciences
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journal_title:Journal of forensic sciences
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doi:
更新日期:2001-07-01 00:00:00
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journal_title:Journal of forensic sciences
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journal_title:Journal of forensic sciences
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