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Analysis of select Dalbergia and trade timber using direct analysis in real time and time-of-flight mass spectrometry for CITES enforcement.
Rapid Commun Mass Spectrom. 2012 May 15; 26(9):1147-56.RC

Abstract

RATIONALE

International trade of several Dalbergia wood species is regulated by The Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). In order to supplement morphological identification of these species, a rapid chemical method of analysis was developed.

METHODS

Using Direct Analysis in Real Time (DART) ionization coupled with Time-of-Flight (TOF) Mass Spectrometry (MS), selected Dalbergia and common trade species were analyzed. Each of the 13 wood species was classified using principal component analysis and linear discriminant analysis (LDA). These statistical data clusters served as reliable anchors for species identification of unknowns.

RESULTS

Analysis of 20 or more samples from the 13 species studied in this research indicates that the DART-TOFMS results are reproducible. Statistical analysis of the most abundant ions gave good classifications that were useful for identifying unknown wood samples.

CONCLUSIONS

DART-TOFMS and LDA analysis of 13 species of selected timber samples and the statistical classification allowed for the correct assignment of unknown wood samples. This method is rapid and can be useful when anatomical identification is difficult but needed in order to support CITES enforcement. Published 2012. This article is a US Government work and is in the public domain in the USA.

Links

Publisher Full Text (DOI)

Authors+Show Affiliations

Lancaster C
National Fish & Wildlife Forensic Lab, 1490 E. Main St, Ashland, OR 97520, USA.
Espinoza E
No affiliation info available

MeSH

DalbergiaDiscriminant AnalysisEndangered SpeciesIonsMass SpectrometryPrincipal Component AnalysisReproducibility of ResultsWood

Pub Type(s)

Journal Article

Language

eng

PubMed ID

22467466

Citation

Lancaster, Cady, and Edgard Espinoza. "Analysis of Select Dalbergia and Trade Timber Using Direct Analysis in Real Time and Time-of-flight Mass Spectrometry for CITES Enforcement." Rapid Communications in Mass Spectrometry : RCM, vol. 26, no. 9, 2012, pp. 1147-56.
Lancaster C, Espinoza E. Analysis of select Dalbergia and trade timber using direct analysis in real time and time-of-flight mass spectrometry for CITES enforcement. Rapid Commun Mass Spectrom. 2012;26(9):1147-56.
Lancaster, C., & Espinoza, E. (2012). Analysis of select Dalbergia and trade timber using direct analysis in real time and time-of-flight mass spectrometry for CITES enforcement. Rapid Communications in Mass Spectrometry : RCM, 26(9), 1147-56. https://doi.org/10.1002/rcm.6215
Lancaster C, Espinoza E. Analysis of Select Dalbergia and Trade Timber Using Direct Analysis in Real Time and Time-of-flight Mass Spectrometry for CITES Enforcement. Rapid Commun Mass Spectrom. 2012 May 15;26(9):1147-56. PubMed PMID: 22467466.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Analysis of select Dalbergia and trade timber using direct analysis in real time and time-of-flight mass spectrometry for CITES enforcement. AU - Lancaster,Cady, AU - Espinoza,Edgard, PY - 2012/4/3/entrez PY - 2012/4/3/pubmed PY - 2012/7/4/medline SP - 1147 EP - 56 JF - Rapid communications in mass spectrometry : RCM JO - Rapid Commun Mass Spectrom VL - 26 IS - 9 N2 - RATIONALE: International trade of several Dalbergia wood species is regulated by The Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES). In order to supplement morphological identification of these species, a rapid chemical method of analysis was developed. METHODS: Using Direct Analysis in Real Time (DART) ionization coupled with Time-of-Flight (TOF) Mass Spectrometry (MS), selected Dalbergia and common trade species were analyzed. Each of the 13 wood species was classified using principal component analysis and linear discriminant analysis (LDA). These statistical data clusters served as reliable anchors for species identification of unknowns. RESULTS: Analysis of 20 or more samples from the 13 species studied in this research indicates that the DART-TOFMS results are reproducible. Statistical analysis of the most abundant ions gave good classifications that were useful for identifying unknown wood samples. CONCLUSIONS: DART-TOFMS and LDA analysis of 13 species of selected timber samples and the statistical classification allowed for the correct assignment of unknown wood samples. This method is rapid and can be useful when anatomical identification is difficult but needed in order to support CITES enforcement. Published 2012. This article is a US Government work and is in the public domain in the USA. SN - 1097-0231 UR - https://www.unboundmedicine.com/medline/citation/22467466/Analysis_of_select_Dalbergia_and_trade_timber_using_direct_analysis_in_real_time_and_time_of_flight_mass_spectrometry_for_CITES_enforcement_ L2 - https://doi.org/10.1002/rcm.6215 DB - PRIME DP - Unbound Medicine ER -