Abstract
Port-Orford cedar (Chamaecyparis lawsoniana), Alaska yellow cedar (Chamaecyparis nootkatensis), and Eastern red cedar (Juniperus virginiana) were submitted to supercritical fluid extraction with CO2 (SCC) and Soxhlet extracted (SE) with hexane. The components in the extracted oils were identified by GC-MS. The oils were evaluated against two common wood decay fungi, brown-rot fungus (Gloeophyllum trabeum) and white-rot fungus (Trametes versicolor). The SCC extraction yields of J. virginiana, C. nootkatensis, and C. lawsoniana were 3.27%, 3.22%, and 3.29%, respectively. The SE yields of J. virginiana, C. nootkatensis, and C. lawsoniana were 0.80%, 0.71%, and 1.52%, respectively. The statistical analysis showed that SCC extracted cedar oils had higher antifungal activities than SE cedar oils against both fungi. In vitro studies showed that C. nootkatensis oils have the strongest antifungal activity, followed by C. lawsoniana, and J. virginiana oil.
©2011 by Walter de Gruyter Berlin New York
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- Meetings
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Articles in the same Issue
- Editorial
- Note from the Editor-in-Chief
- Original papers
- Delineating pMDI model reactions with loblolly pine via solution-state NMR spectroscopy. Part 1. Catalyzed reactions with wood models and wood polymers
- Delineating pMDI model reactions with loblolly pine via solution-state NMR spectroscopy. Part 2. Non-catalyzed reactions with the wood cell wall
- Effect of periodate on lignin for wood adhesive application
- Spherical PF resin beads prepared from phenol-liquefied Bambusa dolichoclada with suspension polymerization
- Novel paper sizing agents based on renewables. Part 4: Application properties in comparison to conventional ASA sizes
- Organosolv pretreatment of olive tree biomass for fermentable sugars
- NIR-based prediction of extractives in American white oak heartwood
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- Quantification of polypropylene (PP) in wood plastic composites (WPCs) by analytical pyrolysis (Py) and differential scanning calorimetry (DSC)
- Prediction of plywood bonding quality using an artificial neural network
- Photostability and moisture uptake properties of wood veneers coated with a combination of thin sol-gel films and light stabilizers
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- Modelling time-dependent mechanical behaviour of softwood using deformation kinetics
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