Inference of origin of Pterocarpus timber by chemical profiling of ambient ionization mass spectra

Price, Erin; Miles-Bunch, Isabella A.; Gasson, Peter; Lancaster, Cady A.

doi:10.1016/j.fsiae.2021.100032

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…This result is different from our findings here and the previous studies on the DART-MS of air-dried wood chips [19]. However, in the survey of the original geographic region of timber of Pterocarpus samples by direct analysis in real time-time-of-flight mass spectrometry (DART-TOFMS), the ion at 257.115 m/z was also found in the species of P. tinctorius [40], which is consistent with our result. Therefore, it would be worth detecting the distinction of ions between these two mass spectrometers for the same species in further work.…”

Section: Resultscontrasting

confidence: 84%

Similarity network fusion for aggregating headspace GC–MS and direct analysis in real time–mass spectrometry data from solid samples to enhance species identification efficiency of high–temperature heated wood

Zhang

Guo

et al. 2022

J Wood Sci

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Pterocarpus santalinus and Pterocarpus tinctorius are commonly used species of the genus Pterocarpus in the wood trade. Although both of them have been listed in Appendix II of the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) since 2019, it is still critical to identify them in terms of plant taxonomy. Currently, high-temperature heating is an accepted treatment method for high-density wood species such as Pterocarpus to improve dimensional stability and restore previous drying defects partially. It has proved challenging to identify the high-temperature (e.g., 120 °C) heated wood from these two species. Thus, this study approaches species identification of two Pterocarpus of high-temperature (e.g., 120 °C) heated solid wood samples using headspace–gas chromatography–mass spectrometry (HS–GC–MS). Besides, a computational analytical method named similarity network fusion (SNF) was proposed to aggregate data in two different types, respectively, derived from the HS–GC–MS and direct analysis in real time–mass spectrometry (DART–MS) to explore the feasibility of improving the efficiency and accuracy of wood species discrimination. The SNF exhibits more significant differences and higher predictive accuracy (100%) between P. santalinus and P. tinctorius than that based on the HS–GC–MS data (77.78%) or DART–MS (66.67%) alone. These results demonstrated the capability of the HS–GC–MS technique in the analysis of high-temperature heated solid wood and the potential of multidimensional or comprehensive data sets based on the SNF algorithm in the field of wood species identification.

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Section: Resultscontrasting

confidence: 84%

Similarity network fusion for aggregating headspace GC–MS and direct analysis in real time–mass spectrometry data from solid samples to enhance species identification efficiency of high–temperature heated wood

Zhang

Guo

et al. 2022

J Wood Sci

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“…Therefore, it is indispensable to develop a reliable method to identify different hongmu species and distinguish between rare hongmu and cheap fakes. Several methods such as nuclear magnetic resonance spectroscopy (NMR), 4,10 liquid chromatography-mass spectrometry (LC-MS), [11][12][13][14] gas chromatography-mass spectrometry (GC-MS), 2,15 direct analysis in real time-mass spectrometry (DART-MS), [16][17][18] laser induced breakdown spectroscopy (LIBS), 19 near-infrared spectroscopy (NIRS) 20 and Fourier transform infrared spectroscopy (FT-IR) 15,21 have been applied in the analysis of hongmu species.…”

Section: Introductionmentioning

confidence: 99%

Rapid detection and classification of hongmu by atmospheric pressure ionization mass spectrometry

Wang

et al. 2022

Analyst

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Tracing the geographic origin of wood in pulp and paper by GC-MS analysis of extractives

Flaig,

Berger,

Saake

2024

Holzforschung

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This study explores the application of chemotaxonomic methods to trace the geographic origin of wood used in paper production. Utilizing thermal desorption gas chromatography-mass spectrometry (TD-GC-MS) and principal component analysis (PCA), distinct chemical profiles were identified in both hydrophobic and hydrophilic extracts. Residual wood extractives, that are capable of origin differentiation, were found in acetone extracts of the CITES-protected genus ramin (Gonystylus Teijsm. et Binn. spp.), petroleum ether extracts of red meranti (Rubroshorea (Meijer) P.S.Ashton et J.Heck. spp.) and n-hexane extracts of teak (Tectona grandis L.f.) pulp. The PCA results demonstrate the potential of these chemical fingerprints to serve as reliable indicators of wood provenance, which could potentially be crucial for the practical execution of the European Deforestation Regulation (EUDR) and the US Lacey Act in the paper industry. Despite the promising findings for ramin and teak, the effectiveness of the method to distinguish the origin of red meranti pulps was limited in some cases.

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Inference of origin of Pterocarpus timber by chemical profiling of ambient ionization mass spectra

Cited by 3 publications

References 23 publications

Similarity network fusion for aggregating headspace GC–MS and direct analysis in real time–mass spectrometry data from solid samples to enhance species identification efficiency of high–temperature heated wood

Similarity network fusion for aggregating headspace GC–MS and direct analysis in real time–mass spectrometry data from solid samples to enhance species identification efficiency of high–temperature heated wood

Rapid detection and classification of hongmu by atmospheric pressure ionization mass spectrometry

Tracing the geographic origin of wood in pulp and paper by GC-MS analysis of extractives

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