A practical study of CITES wood species identification by untargeted DART/QTOF, GC/QTOF and LC/QTOF together with machine learning processes and statistical analysis

A practical study of CITES wood species identification by untargeted DART/QTOF, GC/QTOF and LC/QTOF together with machine learning processes and statistical analysis

Illegal logging and trafficking of endangered timber species has attracted the world's major organized crime groups, with associated deforestation and serious social damage. The inability of traditional methodologies and DNA analysis to readily perform wood identification to the species level f...

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Bibliographic Details
Main Authors: Pamela Brunswick, Daniel Cuthbertson, Jeffrey Yan, Candice C. Chua, Isabelle Duchesne, Nathalie Isabel, Philip D. Evans, Peter Gasson, Geoffrey Kite, Joy Bruno, Graham van Aggelen, Dayue Shang
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:Environmental Advances
Subjects:
DART
QTOF
Dalbergia
Species
Identification
CITES
Online Access:http://www.sciencedirect.com/science/article/pii/S2666765721000600

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http://www.sciencedirect.com/science/article/pii/S2666765721000600

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