Literature DB >> 15081070

Evaluation of XRF and LIBS technologies for on-line sorting of CCA-treated wood waste.

Helena M Solo-Gabriele1, Timothy G Townsend, David W Hahn, Thomas M Moskal, Naila Hosein, Jenna Jambeck, Gary Jacobi.   

Abstract

Contamination of wood waste with chromated copper arsenate greatly limits recycling opportunities for the wood waste as a whole. Separation of CCA-treated wood from other wood types is one means by which such contamination can be removed. The purpose of the current study was to evaluate two detector technologies for sorting CCA-treated wood from other wood types. The detector technologies evaluated included X-ray fluorescence spectroscopy (XRF) and laser induced breakdown spectroscopy (LIBS). The XRF detector system utilized in this study was capable of rapidly detecting the presence of CCA in painted wood, wet wood, heartwood, sapwood, and at portions of the wood containing knots. Furthermore, the XRF system was capable of distinguishing between CCA-treated wood and wood treated with alternative wood treatment preservatives, but was limited by the fact that it was not designed for on-line operation so tests were conducted in a batch mode on a conveyor. The analysis time used in this study (3 s) can be decreased significantly for an XRF system designed specifically for on-line operation. The LIBS system developed for this study was found to effectively identify CCA-treated wood for pieces ranging in thickness from 1 to 8 cm. High sorting efficiencies were noted when 10 laser shots were taken on a piece of wood. Furthermore, the LIBS system was found to be effective for identifying wood that has been coated with stains and paints in addition to identifying wood that has been CCA treated. The major drawback with the LIBS system developed in this study was the limited laser pulse energy. With an increase in laser pulse energy it is anticipated that the working focal length of the LIBS system can be increased to enable the monitoring of wood samples of more variable thicknesses. Limitations associated with analysis of very rotted pieces of wood and wet wood can also be overcome by using a higher pulse energy laser. Overall, both technologies show incredible promise for sorting CCA-treated wood from other wood types. The next recommended step would be to run an improved full-scale operation at one facility to document sorting efficiencies and fine-tune the improvements proposed in the current study. Such a study could potentially open-the-door for more widespread sorting of wood waste.

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Year:  2004        PMID: 15081070     DOI: 10.1016/j.wasman.2003.09.006

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  5 in total

1.  Use of handheld X-ray fluorescence spectrometry units for identification of arsenic in treated wood.

Authors:  Colleen N Block; Tomoyuki Shibata; Helena M Solo-Gabriele; Timothy G Townsend
Journal:  Environ Pollut       Date:  2007-01-22       Impact factor: 8.071

2.  Quantities of arsenic-treated wood in demolition debris generated by Hurricane Katrina.

Authors:  Brajesh Dubey; Helena M Solo-Gabriele; Timothy G Townsendt
Journal:  Environ Sci Technol       Date:  2007-03-01       Impact factor: 9.028

3.  Variation of arsenic concentration on surfaces of in-service CCA-treated wood planks in a park and its influencing field factors.

Authors:  Ya Tang; Wei Gao; Xiuli Wang; Shiming Ding; Taicheng An; Weiyang Xiao; Ming H Wong; Chaosheng Zhang
Journal:  Environ Monit Assess       Date:  2014-12-16       Impact factor: 2.513

4.  Laser spectroscopy for atmospheric and environmental sensing.

Authors:  Marc N Fiddler; Israel Begashaw; Matthew A Mickens; Michael S Collingwood; Zerihun Assefa; Solomon Bililign
Journal:  Sensors (Basel)       Date:  2009-12-22       Impact factor: 3.576

Review 5.  Cascading Recycling of Wood Waste: A Review.

Authors:  Arnaud Besserer; Sarah Troilo; Pierre Girods; Yann Rogaume; Nicolas Brosse
Journal:  Polymers (Basel)       Date:  2021-05-27       Impact factor: 4.329

  5 in total

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