Optimising photoelectrocatalytic oxidation of fulvic acid using response surface methodology
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|Title:||Optimising photoelectrocatalytic oxidation of fulvic acid using response surface methodology||Authors:||Fu, J.F.
|Permanent link:||http://hdl.handle.net/10197/3175||Date:||1-Jun-2007||Abstract:||In this paper, statistics-based experimental design with response surface methodology (RSM) was employed to investigate the effect of operation conditions on photoelectrocatalytic oxidation of fulvic acid (FA) using a Ti/TiO2 electrode in a photoreactor. Initially, the Box-Behnken design was employed including the three key variables (initial pH, potassium peroxodisulphate (K2S2O8) and bias potential). Thereafter, the mutual interaction and effects between these parameters and optimum conditions were obtained in greater detail by means of SAS and Matlab software. The results of this investigation reveal that: (1) the regression analysis with R2 value of 0.9754 shows a close fit between the experimental results and the model predictions; (2) three-dimension response surface plot can provide a good manner for visualizing the parameter interactions; and (3) the optimum pH, K2S2O8 and bias potential is found to be 3.8, 88.40mg/L, 0.88V respectively and the highest FA removal efficiency of 57.1% can be achieved.||Funding Details:||Not applicable||Type of material:||Journal Article||Publisher:||Elsevier||Journal:||Journal of Hazardous Materials||Volume:||144||Issue:||1-2||Start page:||499||End page:||505||Copyright (published version):||2006 Elsevier B.V.||Keywords:||Optimization; Fulvic acid; Ti/TiO2 electrode; Response surface methodology; Photoelectrocatalytic oxidation; SAS software||Subject LCSH:||Fulvic acids--Oxidation
Response surfaces (Statistics)
|DOI:||10.1016/j.jhazmat.2006.10.071||Other versions:||http://dx.doi.org/10.1016/j.jhazmat.2006.10.071||Language:||en||Status of Item:||Peer reviewed|
|Appears in Collections:||Centre for Water Resources Research Collection|
Urban Institute Ireland Research Collection
Critical Infrastructure Group Research Collection
Civil Engineering Research Collection
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