Rapid analysis of wood using transient infrared spectroscopy and photoacoustic spectroscopy with PLS regression
Abstract
In the forest products industry, improved methods are needed for rapid analysis of wood and paper products. Currently, the best methods for determining chemical and physical properties of wood-based materials require considerable sample preparation and analysis time. Consequently, quantitative information is often not obtained on a time scale suitable for process monitoring, control, and quality assurance. The primary barriers to practical utilization of conventional infrared methods are the opaqueness and poor reflection properties of the wood-based materials. This paper demonstrates how photoacoustic and transient infrared spectroscopies have been combined with chemometric techniques to overcome the limitations of conventional infrared spectroscopies and to permit rapid chemical and physical characterization of wood chips. Both photoacoustic and transient infrared spectroscopic methods are examined as rapid at- and on-line techniques for feedstock identification and chemical composition analysis prior to processing. {copyright} {ital 1998 American Institute of Physics.}
- Authors:
-
- Ames Laboratory, Iowa State University, Ames, Iowa 50011 (United States)
- National Renewable Energy Laboratory, Golden, Colorado 80401 (United States)
- Publication Date:
- Research Org.:
- Ames National Laboratory
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 678763
- Report Number(s):
- CONF-970812-
Journal ID: APCPCS; ISSN 0094-243X; TRN: 9817M0014
- DOE Contract Number:
- W-7405-ENG-82
- Resource Type:
- Journal Article
- Journal Name:
- AIP Conference Proceedings
- Additional Journal Information:
- Journal Volume: 430; Journal Issue: 1; Conference: 11. international conference on Fourier transform spectroscopy, Athens, GA (United States), 10-15 Aug 1997; Other Information: PBD: Jun 1998
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 40 CHEMISTRY; WOOD; CHEMICAL ANALYSIS; INFRARED SPECTRA; FOURIER TRANSFORM SPECTROMETERS; PHOTOACOUSTIC SPECTROSCOPY; LEAST SQUARE FIT; CHEMICAL COMPOSITION
Citation Formats
Bajic, Stanley J, Jones, Roger W, McClelland, John F, and Meglen, Robert R. Rapid analysis of wood using transient infrared spectroscopy and photoacoustic spectroscopy with PLS regression. United States: N. p., 1998.
Web. doi:10.1063/1.55710.
Bajic, Stanley J, Jones, Roger W, McClelland, John F, & Meglen, Robert R. Rapid analysis of wood using transient infrared spectroscopy and photoacoustic spectroscopy with PLS regression. United States. https://doi.org/10.1063/1.55710
Bajic, Stanley J, Jones, Roger W, McClelland, John F, and Meglen, Robert R. 1998.
"Rapid analysis of wood using transient infrared spectroscopy and photoacoustic spectroscopy with PLS regression". United States. https://doi.org/10.1063/1.55710.
@article{osti_678763,
title = {Rapid analysis of wood using transient infrared spectroscopy and photoacoustic spectroscopy with PLS regression},
author = {Bajic, Stanley J and Jones, Roger W and McClelland, John F and Meglen, Robert R},
abstractNote = {In the forest products industry, improved methods are needed for rapid analysis of wood and paper products. Currently, the best methods for determining chemical and physical properties of wood-based materials require considerable sample preparation and analysis time. Consequently, quantitative information is often not obtained on a time scale suitable for process monitoring, control, and quality assurance. The primary barriers to practical utilization of conventional infrared methods are the opaqueness and poor reflection properties of the wood-based materials. This paper demonstrates how photoacoustic and transient infrared spectroscopies have been combined with chemometric techniques to overcome the limitations of conventional infrared spectroscopies and to permit rapid chemical and physical characterization of wood chips. Both photoacoustic and transient infrared spectroscopic methods are examined as rapid at- and on-line techniques for feedstock identification and chemical composition analysis prior to processing. {copyright} {ital 1998 American Institute of Physics.}},
doi = {10.1063/1.55710},
url = {https://www.osti.gov/biblio/678763},
journal = {AIP Conference Proceedings},
number = 1,
volume = 430,
place = {United States},
year = {Mon Jun 01 00:00:00 EDT 1998},
month = {Mon Jun 01 00:00:00 EDT 1998}
}