Application of chemometric analysis to infrared spectroscopy for the identification of wood origin

Carballo-Meilán, Ara and Goodman, Adrian M. and Baron, Mark G. and Gonzalez-Rodriguez, Jose (2016) Application of chemometric analysis to infrared spectroscopy for the identification of wood origin. Cellulose, 23 (1). pp. 901-913. ISSN 0969-0239

Documents
20109 preprint Manuscript for repository.pdf
[img]
[Download]
20109 post referred version Cellulose 2016.pdf
[img]
[Download]
[img]
Preview
PDF
20109 preprint Manuscript for repository.pdf - Whole Document

290kB
[img]
Preview
PDF
20109 post referred version Cellulose 2016.pdf - Whole Document

291kB
Item Type:Article
Item Status:Live Archive

Abstract

Chemical characteristics of wood are used in this study for plant taxonomy 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 datasets. 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 chosen multivariate techniques. 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
Subjects:F Physical Sciences > F180 Analytical Chemistry
Divisions:College of Science > School of Life Sciences
ID Code:20109
Deposited On:27 Jan 2016 10:19

Repository Staff Only: item control page