Near infrared spectroscopy characterization of wood for value added products

用于增值产品的木材的近红外光谱表征

• 批准号: 345626-2007
• 负责人: Cooper, Paul
• 金额: $ 2.33万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments - Category 1 (<$150,000)
• 财政年份: 2006
• 资助国家: 加拿大
• 起止时间: 2006-01-01 至 2007-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=325652
• 关键词: Near; infrared; spectroscopy; characterization; wood

Near infrared spectroscopy (NIR) in combination with multivariate analysis (MVA)has found many applications for assessment of important properties of wood and other materials through correlation of specific wood characteristics to subtle surface chemical differences. This technology is rapid, non-destructive and requires minimal surface preparation and has the potential to predict material properties based on many complex chemical factors that would require many weeks to analyze by conventional methods. Major research objectives of our laboratories include: development of technologies to improve materials selection, processing and product performance for value added wood based products; reducing environmental impacts of pressure treated wood over all stages of its life cycle; assessing impacts of global climate change on wood chemistry; and investigating changes to wood during decay.  NIR capability in our laboratory will help to meet these objectives.  It has the ability to identify features associated with better wood quality, including species differentiation, chemical composition (important for studies on effects of global warming), mechanical properties and chemical treatments.  We believe that this instrumentation can be developed to provide us with rapid and accurate assessment of materials quality with high spatial resolution. Such a rapid detection and evaluation technique will reduce the analytical time and cost in our assessment of new processes and products and make it possible to characterize properties within individual annual rings of trees.  Once the factors affecting its ability to consistently characterize materials are known, it may be developed to serve the wood products industry as a materials selection and quality control tool enhancing the development of value added wood products by helping to ensure that suitable or even optimized materials are selected for a given process.

近红外光谱（NIR）与多变量分析（MVA）相结合，通过将特定木材特性与细微的表面化学差异相关联，发现了许多用于评估木材和其他材料重要特性的应用。该技术快速，非破坏性，需要最少的表面处理，并有可能根据许多复杂的化学因素预测材料特性，这些因素通过传统方法需要数周才能分析。我们实验室的主要研究目标包括：开发技术，以改善材料选择，加工和产品性能的增值木基产品;减少压力处理木材在其生命周期的各个阶段对环境的影响;评估全球气候变化对木材化学的影响;以及调查木材在腐烂过程中的变化。我们实验室的近红外技术将有助于实现这些目标。它能够识别与更好的木材质量相关的特征，包括物种分化，化学成分（对研究全球变暖的影响很重要），机械性能和化学处理。我们相信，这种仪器可以为我们提供快速，准确的评估材料质量与高空间分辨率。这种快速检测和评估技术将减少我们评估新工艺和新产品的分析时间和成本，并使其能够表征树木单个年轮内的特性。一旦知道影响其一致表征材料能力的因素，它可以被开发为木材产品工业服务，作为材料选择和质量控制工具，促进增值木材产品的开发通过帮助确保为给定的工艺选择合适的甚至优化的材料。