Optimization of hydrogen peroxide extraction conditions for CCA removal from treated wood by response surface methodology

This research was performed to evaluate the effect of extraction conditions (time, temperature, and concentration of hydrogen peroxide) on extraction yield of copper, chromium, and arsenic from chromated copper arsenate (CCA)-treated wood. The quadratic regression models representing the extraction yield of each CCA component and total CCA at various conditions were fitted using response surface methodologies (RSM). The coefficients of determination of fitted models were above 0.97, meaning that the model can be highly accurate in predicting extraction yield at various conditions. The fitted RSM models allowed multiple solutions with any desirable extraction yield of CCA components. This research indicates that the use of an RSM model may offer considerable flexibility in controlling extraction variables for practical uses.