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Enhancement of Reactive Red 198 dye photo catalytic degradation using physical mixtures of ZnO-graphene nanocomposite and TiO_2 nanoparticles: an optimized study by response surface methodology

机译:ZnO-石墨烯纳米复合材料和TiO_2纳米颗粒的物理混合物增强活性Red 198染料的光催化降解:通过响应表面方法进行的优化研究

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摘要

The photo catalytic activity of ZnO-graphene (ZnO-G) nanocomposite and TiO2 nanoparticles physical mixtures for the enhanced degradation of reactive red dye 198 (RR198) under UVC light was evaluated and established. The photo catalytic results revealed that the RR198 was degraded at around 34.4% and 37.7% after 180 min of irradiation, respectively, in the presence of ZnO-G nanocomposite and TiO2 nanoparticles, solely. Interestingly, physical mixtures of both catalysts induced an enhanced catalytic activity comparing to the bare ones. The ideal mixing ratio was found to be 66:34 wt% (ZnO-G:TiO2) with 71.8% degradation performance after 180 min of irradiation. Moreover, the response surface methodology using the best mixture was employed to optimize and determine the interaction effects between three independent operational parameters which are photo catalyst dosage (0.4 - 0.025 mg), initial pH (3-11), and initial dye concentration (5 - 15 mg/L). Based on the results obtained, it was found that a maximum predicted degradation efficiency of RR 198 reached 99% was in agreement with the average of three experimental values (96%) under the following optimal conditions: 0.4 g mixture dose, initial pH of 3.8, and 5 mg/L initial dye concentration. This convergence between the predicted and experimental results indicates the validity of the model for predicting the maximum percentage degradation of RR198 under the above-mentioned optimum conditions. The ANOVA result indicated that the model is significant with the P value of 8.683 x 10(-10) is less than 0.0001, which implies that the model terms are highly significant. Regression analysis with an R-2 value of 0.986 indicated a satisfactory correlation between the experimental data and predicted values. Additionally, non-toxic metabolites with respect to Daphnia Magna and high total organic carbon reduction after treatment with the mixture evidenced that this process can significantly decrease toxicity and mineralize the dye. Finally, the universal degradation ability of the photo catalysts mixture was evaluated and proven towards many model substrates.
机译:评估并建立了ZnO-石墨烯(ZnO-G)纳米复合材料和TiO2纳米颗粒物理混合物在UVC光下增强反应性红色染料198(RR198)降解的光催化活性。光催化结果表明,仅在ZnO-G纳米复合材料和TiO2纳米粒子存在下,RR198在辐照180分钟后分别降解约34.4%和37.7%。有趣的是,与裸露的催化剂相比,两种催化剂的物理混合物均具有增强的催化活性。发现理想的混合比例为66:34 wt%(ZnO-G:TiO2),辐照180分钟后降解性能为71.8%。此外,采用了使用最佳混合物的响应面方法来优化和确定三个独立的操作参数之间的相互作用效应,这三个参数是光催化剂的用量(0.4-0.025 mg),初始pH(3-11)和初始染料浓度(5) -15 mg / L)。根据获得的结果,发现在以下最佳条件下,RR 198的最大预测降解效率达到99%与三个实验值的平均值(96%)一致:0.4 g混合剂量,初始pH值为3.8和5 mg / L的初始染料浓度。预测结果与实验结果之间的这种收敛性表明,在上述最佳条件下预测RR198的最大降解百分比的模型的有效性。方差分析结果表明,该模型具有显着性,P值8.683 x 10(-10)小于0.0001,这表明模型项具有很高的显着性。 R-2值为0.986的回归分析表明,实验数据与预测值之间具有令人满意的相关性。另外,关于水蚤的无毒代谢物和用该混合物处理后的高总有机碳减少量表明该过程可以显着降低毒性并使该染料矿化。最后,对光催化剂混合物的通用降解能力进行了评估,并针对许多模型基材进行了证明。

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