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使用菲涅耳透镜对活性蓝4进行太阳能光催化降解。

Solar photocatalytic degradation of reactive blue 4 using a Fresnel lens.

作者信息

Durán A, Monteagudo J M

机构信息

Department of Chemical Engineering, Escuela Técnica Superior de Ingenieros Industriales, University of Castilla-La Mancha, Avda. Camilo José Cela 3, 13071 Ciudad Real, Spain.

出版信息

Water Res. 2007 Feb;41(3):690-8. doi: 10.1016/j.watres.2006.06.042. Epub 2006 Sep 29.

DOI:10.1016/j.watres.2006.06.042
PMID:17011017
Abstract

The heterogeneous photocatalytic degradation of reactive blue 4 dye (RB4) solutions under Fenton reagent and TiO(2) assisted by concentrated solar light irradiation using a Fresnel lens has been studied. Multivariate experimental design was applied to study the kinetic process. The efficiency of photocatalytic degradation was determined from the analysis of color and total organic carbon (TOC) removal. Factorial experimental design allowed to determine the influence of four parameters (pH and initial concentrations of TiO(2), Fe(II) and H(2)O(2)) on the value of the decoloration kinetic rate constant. Experimental data were fitted using neural networks (NNs). The mathematical model reproduces experimental data within 86% of confidence and allows the simulation of the process for any value of parameters in the experimental range studied. Also, a measure of the saliency of the input variables was made based upon the connection weights of the neural networks, allowing the analysis of the relative relevance of each variable with respect to the others. Results showed that acidic pHs (pH=3.6) are preferred for the complete dye decoloration. The optimum catalyst concentration is 1.2g TiO(2)/l. The use of a low cost catalyst and its activation using a Fresnel lens to concentrate solar energy significantly accelerates the degradation process when compared with direct solar radiation alone and can offer an economical and practical alternative for the destruction of environmental organic compounds.

摘要

研究了在芬顿试剂和TiO₂存在下,利用菲涅耳透镜聚焦太阳光照射对活性蓝4染料(RB4)溶液进行多相光催化降解的过程。采用多变量实验设计来研究动力学过程。通过分析颜色去除率和总有机碳(TOC)去除率来确定光催化降解效率。析因实验设计可确定四个参数(pH以及TiO₂、Fe(II)和H₂O₂的初始浓度)对脱色动力学速率常数的影响。使用神经网络(NNs)对实验数据进行拟合。该数学模型在86%的置信度内再现了实验数据,并能对研究的实验范围内任何参数值的过程进行模拟。此外,基于神经网络的连接权重对输入变量的显著性进行了度量,从而能够分析每个变量相对于其他变量的相对相关性。结果表明,酸性pH值(pH = 3.6)有利于染料完全脱色。最佳催化剂浓度为1.2g TiO₂ /l。与单独的直接太阳辐射相比,使用低成本催化剂并利用菲涅耳透镜聚焦太阳能对其进行活化,可显著加速降解过程,为环境有机化合物的破坏提供一种经济实用的替代方法。

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