用近红外光谱学评估树木、木材和衍生产品:提示和技巧

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
J. Sandak, A. Sandak, R. Meder
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引用次数: 66

摘要

木材是一种可再生的宝贵资源,可用于各种最终用途应用领域。但是,需要进行迅速和可靠的评估,以确定在生产和加工的所有阶段的树木、木材或木制品的质量。评估木材和木制品的理想技术必须提供可靠的数据,便于使用,具有成本竞争力,并提供快速分析。木材或木制品的近红外(NIR)光谱的最终应用是替代昂贵和耗时的参考测量,以帮助优化工艺或确定大量单个样品的特性和遗传特征。近年来,人们对近红外光谱在包括木材在内的各个研究领域的应用越来越感兴趣。大量出版物强调了近红外光谱在广泛使用领域中表征木材的潜力。《近红外光谱学杂志》在2010年和2011年出版了两期关于近红外在林业和木材研究中的应用的特刊,最近的文献检索产生了超过556,000个结果,这些结果可以很容易地通过使用搜索词“近红外”和“木材”找到。大量已发表的数据可能表明,近红外光谱技术被木材行业广泛理解和广泛采用,但即使在最近的论文中,也很明显,仍然需要更好地了解有关样品选择和制备、仪器选择、正确测量和光谱解释的基本问题。在本文中,我们借鉴了40多年的集体经验,总结了有关木材科学技术的仪器、光谱采集和数据挖掘方面的最新知识。本教程的目标是双重的:首先,告知早期职业木材科学家在利用近红外光谱来评估木材质量的关键步骤。第二,提醒管理人员注意成功采用近红外技术所需的操作人员技能水平。这里提供了一些基本信息,但由于手稿的大小有限,在每个部分提供了更具体和详细的文献参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing Trees, Wood and Derived Products with near Infrared Spectroscopy: Hints and Tips
Wood is a renewable and valuable resource for a variety of end-use application areas. However, rapid and reliable assessments are needed to identify the quality of the tree, timber or wood product at all stages of production and processing. The ideal technology for assessing wood and wood products must provide reliable data, be user-friendly, cost-competitive and provide a rapid analysis. The ultimate application of near infrared (NIR) spectroscopy of wood or wood products is to substitute for costly and time-consuming reference measurements in order to aid process optimisation or determine properties and genetic traits on large numbers of individual samples. Increased interest in the application of NIR spectroscopy in various research fields including wood is observed nowadays. A vast number of publications highlight the potential of NIR spectroscopy for the characterisation of wood in a broad area of uses. The Journal of Near Infrared Spectroscopy has published two special issues on the application of NIR to forestry and wood research in 2010 and 2011 and a recent literature search yielded in excess of 556,000 results which can be easily found by using the search terms “NIR” and “wood”. This mass of published data may suggest that the technique of NIR spectroscopy is widely understood and broadly adopted by the timber industry, but even in recent papers it is evident that there is still a need to better understand the fundamental issues regarding sample selection and preparation, instrument choice, correct measurement and spectral interpretation. In this paper we draw on more than 40 years of collective experience and summarise state-of-the-art knowledge regarding instrumentation, spectral acquisition and data mining in regard to wood science and technology. The goal of this tutorial is two-fold: first, to inform early career wood scientists of the critical steps in utilising NIR spectroscopy to assess the quality of wood. Second, to alert managers to the level of operator skill required for the successful adoption of NIR technology. Some basic information is presented here, but due to the limited size of the manuscript, reference to more specific and detailed literature is provided in each section.
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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