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Optimizing photocatalytic degradation of phenol by TiO_2/GAC using response surface methodology

机译:响应面法优化TiO_2 / GAC对苯酚的光催化降解

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摘要

TiO_2 deposited on granular activated carbon (TiO_2/GAC) was used for photocatalytic degradation of phenol. The effects of photocatalyst loading, initial substrate concentration and addition of an oxidizing agent as H_2O_2 were investigated using a one-factor-at-a-time experiment. Central composite design, an experimental design for response surface methodology (RSM), was used for the modelling and optimization of the phenol degradation. Analysis of variance (ANOVA) indicated that the proposed quadratic model was in agreement with the experimental case with R~2 and R_(adj)~2 correlation coefficients of 0.9760 and 0.9544, respectively. Accordingly, the optimum conditions for phenol degradation were a photocatalyst loading of two layers, initial phenol concentration of 34.44 mg L~(-1) and H_2O_2 concentration of 326.90 mg L~(-1). The TiO_2/GAC was used for five cycles with phenol degradation efficiency still higher than 90%. Finally, the phenol that remained adsorbed on GAC was able to migrate to TiO_2 and then photocatalytically be degraded.
机译:沉积在颗粒状活性炭(TiO_2 / GAC)上的TiO_2用于光催化降解苯酚。使用一次一因素实验研究了光催化剂负载量,初始底物浓度和氧化剂作为H_2O_2的添加效果。中央复合设计是响应面方法(RSM)的实验设计,用于苯酚降解的建模和优化。方差分析(ANOVA)表明,所提出的二次模型与实验情况相符,R〜2和R_(adj)〜2相关系数分别为0.9760和0.9544。因此,苯酚降解的最佳条件是光催化剂负载量为两层,初始苯酚浓度为34.44 mg L〜(-1),H_2O_2浓度为326.90 mg L〜(-1)。 TiO_2 / GAC用于五个循环,苯酚降解效率仍高于90%。最后,仍吸附在GAC上的苯酚能够迁移到TiO_2,然后被光催化降解。

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