Solo-Gabriele Helena M, Townsend Timothy G, Hahn David W, Moskal Thomas M, Hosein Naila, Jambeck Jenna, Jacobi Gary
Department of Civil, Architectural, and Environmental Engineering, University of Miami, PO Box 248294, Coral Gables, FL 33124-0630, USA.
Waste Manag. 2004;24(4):413-24. doi: 10.1016/j.wasman.2003.09.006.
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.
含铬酸铜砷酸盐的木材废料污染极大地限制了整个木材废料的回收利用机会。将经CCA处理的木材与其他木材类型分离是去除此类污染的一种方法。本研究的目的是评估两种用于从其他木材类型中分拣经CCA处理木材的检测技术。所评估的检测技术包括X射线荧光光谱法(XRF)和激光诱导击穿光谱法(LIBS)。本研究中使用的XRF检测系统能够快速检测涂漆木材、湿木材、心材、边材以及木材中含节部位的CCA的存在。此外,XRF系统能够区分经CCA处理的木材和用其他木材处理防腐剂处理的木材,但受限于其并非为在线操作而设计,因此测试是在传送带上以批次模式进行的。对于专门为在线操作设计的XRF系统,本研究中使用的分析时间(3秒)可以显著减少。为该研究开发的LIBS系统被发现能够有效识别厚度在1至8厘米范围内的经CCA处理的木材块。当对一块木材进行10次激光照射时,分拣效率较高。此外,LIBS系统被发现除了能够识别经CCA处理的木材外,还能有效识别涂有污渍和油漆的木材。本研究开发的LIBS系统的主要缺点是激光脉冲能量有限。随着激光脉冲能量的增加,预计LIBS系统的工作焦距可以增加,以便能够监测更厚的木材样本。通过使用更高脉冲能量的激光,也可以克服与分析非常腐烂的木材块和湿木材相关的限制。总体而言,这两种技术在从其他木材类型中分拣经CCA处理的木材方面都显示出巨大的潜力。接下来建议的步骤是在一个设施中进行改进后的全面操作,以记录分拣效率并微调本研究中提出的改进措施。这样的研究可能会为更广泛的木材废料分拣打开大门。