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Pollen identification of three notorious illicit drug plants and its potential applications in forensic practice.
Wu, Yi-Ming; Lu, Li-Li; Xie, Gan; Ferguson, David Kay; Guo, Hong-Ling; Wang, Yu-Fei; Li, Jin-Feng.
Afiliação
  • Wu YM; State Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
  • Lu LL; University of Chinese Academy of Sciences, Beijing, China.
  • Xie G; Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China.
  • Ferguson DK; State Key Laboratory of Plant Diversity and Specialty Crops, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
  • Guo HL; Big Data and AI Research Center of Biodiversity Conservation, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
  • Wang YF; Institute of Palaeontology, University of Vienna, Vienna, Austria.
  • Li JF; Institute of Forensic Science, Ministry of Public Security of China, Beijing, China.
J Forensic Sci ; 69(5): 1871-1879, 2024 Sep.
Article em En | MEDLINE | ID: mdl-38984820
ABSTRACT
Opium poppy, coca and cannabis are raw materials for three notorious illicit drugs. For a long time, drug lords have been growing and smuggling these drugs in a variety of ways and channels and are continually finding new ways of trafficking their wares, which has led to the increasing difficulty of global drug enforcement. In the present paper, we propose an innovative pollen identification system for these important drug plants, which provides a tool for screening and detection of the drugs to aid in drug enforcement. By utilizing the characteristics of these fine particles, their abundant production, and high resistance to decay, we believe this tool could be applied in the following scenarios detecting and dynamically monitoring drug cultivation activities; determining whether a suspect has been to fields of drug plants and determining whether the site has ever been planted with a drug plant and/or was involved in drug production. In the future, combined with microscope automatic image acquisition technology and intelligent image recognition technology, this pollen identification system is expected to be used to screen three notorious illicit drug plants, thus enhancing the efficiency of drug related crime investigations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Papaver / Pólen / Cannabis / Drogas Ilícitas / Coca / Tráfico de Drogas Limite: Humans Idioma: En Revista: J Forensic Sci Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Papaver / Pólen / Cannabis / Drogas Ilícitas / Coca / Tráfico de Drogas Limite: Humans Idioma: En Revista: J Forensic Sci Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos