Division of Forestry and Natural Resources, West Virginia University, Morgantown, WV 26506-6125, USA.
Bioresour Technol. 2010 Jun;101(12):4570-6. doi: 10.1016/j.biortech.2009.12.046. Epub 2010 Feb 18.
This paper is the first of a two series papers on the use of near infrared (NIR) coupled with multivariate data analysis (MVDA) as a process analytical technology (PAT) tool for the rapid characterization of physical and chemical properties of two common West Virginian hardwood species, northern red oak (Quercus rubra) and yellow-poplar (Liriodendron tulipifera L.). These two wood species are potential feed stock for the bio-refinery industry. In Part 1, we report our results on yellow-poplar. The results of this study demonstrated that some preprocessing operations on the NIR spectra (first derivative) greatly improved all the prediction models developed in the study. Predictive PLS1 models developed using selective spectra regions, 1300-1800 nm and the full NIR region (800-2400 nm), were similar. The selective spectra region, 1300-1800 nm, included the first and second overtone of the NIR spectrum (1300-1800 nm). Measured and predicted physical and chemical properties of yellow-poplar yielded moderate to high correlation (R2).
本文是两篇系列论文中的第一篇，内容涉及近红外（NIR）与多元数据分析（MVDA）相结合，作为一种过程分析技术（PAT）工具，用于快速描述两种常见的西弗吉尼亚硬木——红栎（Quercus rubra）和北美鹅掌楸（Liriodendron tulipifera L.）的物理和化学性质。这两个树种是生物炼制行业的潜在原料。在第一部分中，我们报告了北美鹅掌楸的研究结果。该研究结果表明，对近红外光谱（一阶导数）进行一些预处理操作，可以极大地改进研究中开发的所有预测模型。使用选择性光谱区域（1300-1800nm）和全近红外区域（800-2400nm）开发的预测性 PLS1 模型相似。选择性光谱区域（1300-1800nm）包括近红外光谱的第一和第二泛音（1300-1800nm）。北美鹅掌楸的实测和预测物理化学性质具有中等至高度相关性（R2）。
