ShangBrunswickYanEtAl2020

Référence

Shang, D., Brunswick, P., Yan, J., Bruno, J., Duchesne, I., Isabel, N., VanAggelen, G., Kim, M., Evans, P.D. (2020) Chemotyping and identification of protected Dalbergiatimber using gas chromatography quadrupole time of flight mass spectrometry. Journal of Chromatography A, 1615. (Scopus )

Résumé

The international trade in illegally logged and environmentally endangered timber has spurred enforcement agencies to seek additional technical procedures for the identification of wood species. All Dalbergia species are listed under the Convention on International Trade in Endangered Species (CITES) which is the reason this genus was chosen for study. Multiple sources of the heartwood from different Dalbergia species were extracted and chromatographic profiles collected by gas chromatography with high resolution quadrupole Time of Flight mass spectrometry (GC/QToF). The collected data was mined to select peaks and mass ions representative of the investigated Dalbergia species, and used to develop a Microsoft Excel® template offering immediate graphical representation of the results. Using wood specimens sourced from different xylaria, this graphical fingerprint proved adept at definitive identification of Dalbergia species. The CITES Appendix I species, D. nigra, was easily distinguished from D. melanoxylon and look-alike species of other genera. Similarly, a number of other Dalbergia species were differentiated using this current approach. Kernel discrimination analysis (KDA) was applied to increase the confidence of the species identification. The mislabeling of specimens appears to be common, and the emerging technique of GC/QToF in combination with other techniques, offers improved confidence in identification. GC/QToF further provides automation, the dimension of chromatography to avoid interferences, and production of reproducible electron impact positive (EI+) spectra. The prospect of building an EI+ spectral database for future wood identification is an important feature considering the limited accessibility of authenticated wood species specimens. © 2019

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@ARTICLE { ShangBrunswickYanEtAl2020,
    AUTHOR = { Shang, D. and Brunswick, P. and Yan, J. and Bruno, J. and Duchesne, I. and Isabel, N. and VanAggelen, G. and Kim, M. and Evans, P.D. },
    JOURNAL = { Journal of Chromatography A },
    TITLE = { Chemotyping and identification of protected Dalbergiatimber using gas chromatography quadrupole time of flight mass spectrometry },
    YEAR = { 2020 },
    NOTE = { cited By 0 },
    VOLUME = { 1615 },
    ABSTRACT = { The international trade in illegally logged and environmentally endangered timber has spurred enforcement agencies to seek additional technical procedures for the identification of wood species. All Dalbergia species are listed under the Convention on International Trade in Endangered Species (CITES) which is the reason this genus was chosen for study. Multiple sources of the heartwood from different Dalbergia species were extracted and chromatographic profiles collected by gas chromatography with high resolution quadrupole Time of Flight mass spectrometry (GC/QToF). The collected data was mined to select peaks and mass ions representative of the investigated Dalbergia species, and used to develop a Microsoft Excel® template offering immediate graphical representation of the results. Using wood specimens sourced from different xylaria, this graphical fingerprint proved adept at definitive identification of Dalbergia species. The CITES Appendix I species, D. nigra, was easily distinguished from D. melanoxylon and look-alike species of other genera. Similarly, a number of other Dalbergia species were differentiated using this current approach. Kernel discrimination analysis (KDA) was applied to increase the confidence of the species identification. The mislabeling of specimens appears to be common, and the emerging technique of GC/QToF in combination with other techniques, offers improved confidence in identification. GC/QToF further provides automation, the dimension of chromatography to avoid interferences, and production of reproducible electron impact positive (EI+) spectra. The prospect of building an EI+ spectral database for future wood identification is an important feature considering the limited accessibility of authenticated wood species specimens. © 2019 },
    AFFILIATION = { Environment and Climate Change Canada (ECCC), North Vancouver, BC, Canada; Natural Resources Canada, Canadian Forest Service, ‘Canadian Wood Fibre Centre, Québec City, QC, Canada; Agilent Technologies Inc., Mississauga, ON, Canada; Faculty of Forestry, University of British Columbia (UBC), Vancouver, BC, Canada; Department of Applied Mathematics, Research School of Physics, The Australian National University, Canberra, Australia },
    ART_NUMBER = { 460775 },
    AUTHOR_KEYWORDS = { Chemotyping; Dalbergia; GC/QToF; Identification; Illegal logging; Rosewood },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1016/j.chroma.2019.460775 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077975799&doi=10.1016%2fj.chroma.2019.460775&partnerID=40&md5=085d3fe5a79700ef1d75991f8c71382a },
}

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