Analysis of preservative-treated wood by multivariate analysis of laser-induced breakdown spectroscopy spectra

Madhavi Z. Martin; Nicole Labbé; Timothy G. Rials; Stan D. Wullschleger

doi:10.1016/j.sab.2005.05.022

Analysis of preservative-treated wood by multivariate analysis of laser-induced breakdown spectroscopy spectra

Madhavi Z. Martin, Nicole Labbé, Timothy G. Rials, Stan D. Wullschleger

Biomaterials and Biomass Characterizatio

Research output: Contribution to journal › Conference article › peer-review

156 Scopus citations

Abstract

In this work, multivariate statistical analysis (MVA) techniques are coupled with laser-induced breakdown spectroscopy (LIBS) to identify preservative types (chromated copper arsenate, ammoniacal copper zinc or alkaline copper quat), and to predict elemental content in preservative-treated wood. The elemental composition of the samples was measured with a standard laboratory method of digestion followed by atomic absorption spectroscopy analysis. The elemental composition was then correlated with the LIBS spectra using projection to latent structures (PLS) models. The correlations for the different elements introduced by different treatments were very strong, with the correlation coefficients generally above 0.9. Additionally, principal component analysis (PCA) was used to differentiate the samples treated with different preservative formulations. The research has focused not only on demonstrating the application of LIBS as a tool for use in the forest products industry, but also considered sampling errors, limits of detection, reproducibility, and accuracy of measurements as they relate to multivariate analysis of this complex wood substrate.

Original language	English
Pages (from-to)	1179-1185
Number of pages	7
Journal	Spectrochimica Acta - Part B Atomic Spectroscopy
Volume	60
Issue number	7-8
DOIs	https://doi.org/10.1016/j.sab.2005.05.022
State	Published - Aug 31 2005
Event	Laser Induced Plasma Spectroscopy and Applications (LIBS 2004) Third International Conference LIBS Malaga - Malaga, Spain Duration: Sep 28 2005 → Oct 1 2005

Funding

This project was supported by the National Research Initiative of the USDA Cooperative State Research, Education and Extension Service, grant number 2003-35103-12900 and by the Laboratory Directed Research and Development SEED program of Oak Ridge National Laboratory, managed by University of Tennessee-Battelle, LLC for the U. S. Department of Energy (DOE) under contract number DE-AC05-00OR22725.

Keywords

Inorganic components
Laser induced breakdown spectroscopy
Multivariate analysis
Preservative-treated wood

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10.1016/j.sab.2005.05.022

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title = "Analysis of preservative-treated wood by multivariate analysis of laser-induced breakdown spectroscopy spectra",

abstract = "In this work, multivariate statistical analysis (MVA) techniques are coupled with laser-induced breakdown spectroscopy (LIBS) to identify preservative types (chromated copper arsenate, ammoniacal copper zinc or alkaline copper quat), and to predict elemental content in preservative-treated wood. The elemental composition of the samples was measured with a standard laboratory method of digestion followed by atomic absorption spectroscopy analysis. The elemental composition was then correlated with the LIBS spectra using projection to latent structures (PLS) models. The correlations for the different elements introduced by different treatments were very strong, with the correlation coefficients generally above 0.9. Additionally, principal component analysis (PCA) was used to differentiate the samples treated with different preservative formulations. The research has focused not only on demonstrating the application of LIBS as a tool for use in the forest products industry, but also considered sampling errors, limits of detection, reproducibility, and accuracy of measurements as they relate to multivariate analysis of this complex wood substrate.",

keywords = "Inorganic components, Laser induced breakdown spectroscopy, Multivariate analysis, Preservative-treated wood",

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year = "2005",

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doi = "10.1016/j.sab.2005.05.022",

language = "English",

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journal = "Spectrochimica Acta - Part B Atomic Spectroscopy",

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AU - Martin, Madhavi Z.

AU - Labbé, Nicole

AU - Rials, Timothy G.

AU - Wullschleger, Stan D.

PY - 2005/8/31

Y1 - 2005/8/31

N2 - In this work, multivariate statistical analysis (MVA) techniques are coupled with laser-induced breakdown spectroscopy (LIBS) to identify preservative types (chromated copper arsenate, ammoniacal copper zinc or alkaline copper quat), and to predict elemental content in preservative-treated wood. The elemental composition of the samples was measured with a standard laboratory method of digestion followed by atomic absorption spectroscopy analysis. The elemental composition was then correlated with the LIBS spectra using projection to latent structures (PLS) models. The correlations for the different elements introduced by different treatments were very strong, with the correlation coefficients generally above 0.9. Additionally, principal component analysis (PCA) was used to differentiate the samples treated with different preservative formulations. The research has focused not only on demonstrating the application of LIBS as a tool for use in the forest products industry, but also considered sampling errors, limits of detection, reproducibility, and accuracy of measurements as they relate to multivariate analysis of this complex wood substrate.

AB - In this work, multivariate statistical analysis (MVA) techniques are coupled with laser-induced breakdown spectroscopy (LIBS) to identify preservative types (chromated copper arsenate, ammoniacal copper zinc or alkaline copper quat), and to predict elemental content in preservative-treated wood. The elemental composition of the samples was measured with a standard laboratory method of digestion followed by atomic absorption spectroscopy analysis. The elemental composition was then correlated with the LIBS spectra using projection to latent structures (PLS) models. The correlations for the different elements introduced by different treatments were very strong, with the correlation coefficients generally above 0.9. Additionally, principal component analysis (PCA) was used to differentiate the samples treated with different preservative formulations. The research has focused not only on demonstrating the application of LIBS as a tool for use in the forest products industry, but also considered sampling errors, limits of detection, reproducibility, and accuracy of measurements as they relate to multivariate analysis of this complex wood substrate.

KW - Inorganic components

KW - Laser induced breakdown spectroscopy

KW - Multivariate analysis

KW - Preservative-treated wood

UR - https://www.scopus.com/pages/publications/25644436341

U2 - 10.1016/j.sab.2005.05.022

DO - 10.1016/j.sab.2005.05.022

M3 - Conference article

AN - SCOPUS:25644436341

SN - 0584-8547

VL - 60

SP - 1179

EP - 1185

JO - Spectrochimica Acta - Part B Atomic Spectroscopy

JF - Spectrochimica Acta - Part B Atomic Spectroscopy

IS - 7-8

T2 - Laser Induced Plasma Spectroscopy and Applications (LIBS 2004) Third International Conference LIBS Malaga

Y2 - 28 September 2005 through 1 October 2005

ER -

Analysis of preservative-treated wood by multivariate analysis of laser-induced breakdown spectroscopy spectra

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