Application of chemometric analysis to infrared spectroscopy for the identification of wood origin
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- 作者：Ara Carballo-Meilán ; Adrian M. Goodman ; Mark G. Baron ; Jose Gonzalez-Rodriguez
- 关键词：Plant taxonomy classification ; Infrared spectroscopy ; Multivariate analysis ; Wood ; Angiosperm ; Gymnosperm
- 刊名：Cellulose
- 出版年：2016
- 出版时间：February 2016
- 年：2016
- 卷：23
- 期：1
- 页码：901-913
- 全文大小：655 KB
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Adrian M. Goodman (2)
Mark G. Baron (3)
Jose Gonzalez-Rodriguez (3)
1. Department of Chemical Engineering, University of Loughborough, Loughborough, LE11 3TU, UK
2. School of Life Sciences, University of Lincoln, Brayford Pool, Lincoln, LN6 7TS, UK
3. School of Chemistry, University of Lincoln, Brayford Pool, Lincoln, LN6 7TS, UK - 刊物类别：Chemistry and Materials Science
- 刊物主题：Chemistry
Bioorganic Chemistry
Physical Chemistry
Organic Chemistry
Polymer Sciences - 出版者：Springer Netherlands
- ISSN：1572-882X
文摘
In this study, the chemical characteristics of wood are used for plant taxonomic classification based on the current Angiosperm Phylogeny Group classification (APG III System) for the division, class and subclass of woody plants. Infrared spectra contain information about the molecular structure and intermolecular interactions among the components in wood, but the understanding of this information requires multivariate techniques for the analysis of highly dense data sets. This article is written with the purposes of specifying the chemical differences among taxonomic groups and predicting the taxa of unknown samples with a mathematical model. Principal component analysis, t test, stepwise discriminant analysis and linear discriminant analysis were some of the multivariate techniques chosen. A procedure to determine the division, class, subclass and order of unknown samples was built with promising implications for future applications of Fourier transform infrared spectroscopy in wood taxonomy classification. Keywords Plant taxonomy classification Infrared spectroscopy Multivariate analysis Wood Angiosperm Gymnosperm