Journal article
Tree Species Identification via 1H NMR Fingerprinting of Supercritical Carbon Dioxide Wood Extractives
BioResources, Vol.15(2), pp.2371-2384
2020
Abstract
Six tree species were examined using 1H NMR spectroscopy of sap extracted by supercritical CO2. A metabolomic approach was developed to evaluate the sap extracted from sapwood of Norway spruce (Picea abies), Sitka spruce (Picea sitchensis), radiata pine (Pinus radiata), macrocarpa (Cupressus macrocarpa), and two Eucalyptus species-shining gum and mountain ash (Eucalyptus nitens and Eucalyptus regnans. The sap extraction patterns in the different species were visualised using 1H magnetic resonance imaging. In softwoods with distinct annual rings, water was first removed from the latewood bands, and then gradually from the earlywood bands. In the case of the hardwood species an almost random water redistribution, rather than water expulsion, was observed. Analysis of the principal component analysis loading plots showed that the significant differences in the sap between each species were due to the carbohydrate region. Key discriminators were identified as pinitol, sucrose, glucose, and fructose.
Details
- Title
- Tree Species Identification via 1H NMR Fingerprinting of Supercritical Carbon Dioxide Wood Extractives
- Authors
- Laura G Raymond (Author) - Scion, New ZealandDavid Sandquist (Author) - VTT Technical Research Centre of Finland Ltd, FinlandStefan J Hill (Author) - Scion, New ZealandRoger Meder (Author) - University of the Sunshine CoastVolker C Behr (Author) - University of Wurzburg, Germany
- Publication details
- BioResources, Vol.15(2), pp.2371-2384
- Publisher
- North Carolina State University - College of Natural Resources
- Date published
- 2020
- DOI
- 10.15376/biores.15.2.2371-2384
- ISSN
- 1930-2126
- Copyright note
- Copyright © 2020 The author. Reproduced here with kind permission.
- Organisation Unit
- University of the Sunshine Coast, Queensland; Forest Industries Research Centre
- Language
- English
- Record Identifier
- 99451333502621
- Output Type
- Journal article
Metrics
77 File views/ downloads
80 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Materials Science, Paper & Wood
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites