Optimization of bioleaching conditions for metal removal from CCA-treated wood by using an unknown Polyporales sp KUC8959

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초록

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 degrees 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. (C) 2013 Elsevier Ltd. All rights reserved.

키워드

Bioleaching; Oxalic acid; Polyporales; Chromated copper arsenate; Response surface methodology; RESPONSE-SURFACE METHODOLOGY; BROWN-ROT FUNGI; ASPERGILLUS-NIGER; SELECTIVE RECOVERY; COPPER; CHROMIUM; EXTRACTION; DISPOSAL; BIOREMEDIATION; FERMENTATION
제목
Optimization of bioleaching conditions for metal removal from CCA-treated wood by using an unknown Polyporales sp KUC8959
저자
Choi, Yong-Seok; Kim, Jae-Jin; Kim, Min-Ji; Son, Jino; Kim, Gyu-Hyeok
DOI
10.1016/j.jenvman.2013.02.020
발행일
2013-05-30
유형
Article
저널명
Journal of Environmental Management
권
121
페이지
6 ~ 12