TY - JOUR
T1 - Optimization of bioleaching conditions for metal removal from CCA-treated wood by using an unknown Polyporales sp. KUC8959
AU - Choi, Yong Seok
AU - Kim, Jae Jin
AU - Kim, Min Ji
AU - Son, Jino
AU - Kim, Gyu Hyeok
N1 - Funding Information:
This work was supported by the Korea Research Foundation Grant ( KRF-2008-313-F00056 ) funded by the Korean Government and by a Forest Science & Technology Project (Project No. S121010L110100) provided by the Korea Forest Service, Korean Government.
PY - 2013/5
Y1 - 2013/5
N2 - The purpose of this study was to investigate the effect of extraction conditions (i.e., culture filtrate concentration, extraction temperature, and extraction time) on the removal of metals from chromated copper arsenate (CCA)-treated wood particles by using an unknown Polyporales sp. KUC8959. As the first research, a 20-run central composite design using response surface methodology was applied to optimize the system and construct the models, which predicted metal removal by bioleaching. The coefficients of determination of fitted models were 0.874-0.989, which indicated that the models can predict the metal removal yield accurately under various conditions. The Cu removal model suggested that the following conditions, culture filtrate concentration of 45.8%, extraction temperature of 34.2 °C, and extraction time of 20.6 h, were required for maximal removal of Cu (82.1%). The model predicted that extraction conditions of increased severity would result in complete removal of Cr and As from CCA-treated wood particles. In order to confirm actual metals removal efficiency, metals extraction was subsequently conducted under optimal bioleaching condition evaluated in this study. By applying the model, we demonstrated 83.9% Cu, 96.0% Cr, and 99.3% As removal from treated wood particles.
AB - The purpose of this study was to investigate the effect of extraction conditions (i.e., culture filtrate concentration, extraction temperature, and extraction time) on the removal of metals from chromated copper arsenate (CCA)-treated wood particles by using an unknown Polyporales sp. KUC8959. As the first research, a 20-run central composite design using response surface methodology was applied to optimize the system and construct the models, which predicted metal removal by bioleaching. The coefficients of determination of fitted models were 0.874-0.989, which indicated that the models can predict the metal removal yield accurately under various conditions. The Cu removal model suggested that the following conditions, culture filtrate concentration of 45.8%, extraction temperature of 34.2 °C, and extraction time of 20.6 h, were required for maximal removal of Cu (82.1%). The model predicted that extraction conditions of increased severity would result in complete removal of Cr and As from CCA-treated wood particles. In order to confirm actual metals removal efficiency, metals extraction was subsequently conducted under optimal bioleaching condition evaluated in this study. By applying the model, we demonstrated 83.9% Cu, 96.0% Cr, and 99.3% As removal from treated wood particles.
KW - Bioleaching
KW - Chromated copper arsenate
KW - Oxalic acid
KW - Polyporales
KW - Response surface methodology
UR - http://www.scopus.com/inward/record.url?scp=84875269127&partnerID=8YFLogxK
U2 - 10.1016/j.jenvman.2013.02.020
DO - 10.1016/j.jenvman.2013.02.020
M3 - Article
C2 - 23500177
AN - SCOPUS:84875269127
SN - 0301-4797
VL - 121
SP - 6
EP - 12
JO - Journal of Environmental Management
JF - Journal of Environmental Management
ER -