Applied Biotechnology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran; Faculty of Chemistry, Shahrood University of Technology, Shahrood 3619995161, Iran.
Faculty of Chemistry, Shahrood University of Technology, Shahrood 3619995161, Iran.
Spectrochim Acta A Mol Biomol Spectrosc. 2023 Feb 15;287(Pt 1):122116. doi: 10.1016/j.saa.2022.122116. Epub 2022 Nov 12.
Heterojunction photo-catalysts have attracted significant attention in solar energy conversion due to their ability to reduce suppressing electron-hole pairs and improve catalytic capability. Herein, we designed an S-scheme photo-catalyst by encapsulating a Cu-doped perovskite inside the pores of MOF-5 for the first time, exhibiting excellent efficiency in a pollutant degradation process. The pristine MOF cannot act in the visible light region because of its wide bandgap. However, the encapsulation modified its bandgap and but also increased its photo-catalytic activity. Simultaneous photo-degradation of two organic contaminants, methylene blue (MB) and paracetamol (PA), was investigated to evaluate the catalytic activity of this composite. As a challenge, the UV-vis spectra of PA strongly overlapped with MB in a binary mixture preventing direct measurement of its concentration without previous separation via conventional methodologies. Hence, we used a simple and fast technique called the extended ratio subtraction method (EXRSM) to separate their absorption spectra. The statistical investigations established that it could resolve the issue of signal overlapping. Also, a statistical approach, Box-Behnken (BBD-RSM), was used to model and optimize the degradation process providing a better way to explain the effect and interactions of main parameters on degradation efficiency. Now, an empirical model for each pollutant can make a relationship between them. The photo-degradation yield was obtained at 67.12% and 87.96% for PA and MB, respectively, under optimum conditions. Furthermore, the kinetics and mechanism of reaction were investigated, and the results revealed that it follows a pseudo-first-order model for each pollutant.
异质结光催化剂由于能够减少抑制电子-空穴对并提高催化能力，因此在太阳能转化中引起了人们的极大关注。在此，我们首次通过将掺铜钙钛矿封装在 MOF-5 的孔中来设计 S 型光催化剂，在污染物降解过程中表现出优异的效率。原始 MOF 由于其宽带隙，不能在可见光区起作用。然而，封装修饰了其带隙，但也提高了其光催化活性。同时研究了两种有机污染物亚甲基蓝（MB）和对乙酰氨基酚（PA）的协同光降解，以评估该复合材料的催化活性。作为一个挑战，PA 的 UV-vis 光谱在二元混合物中与 MB 强烈重叠，如果不采用传统方法进行先前分离，则无法直接测量其浓度。因此，我们使用一种称为扩展比减法方法（EXRSM）的简单快速技术来分离它们的吸收光谱。统计研究证明它可以解决信号重叠问题。此外，还使用 Box-Behnken（BBD-RSM）统计方法对降解过程进行建模和优化，为解释主要参数对降解效率的影响和相互作用提供了更好的方法。现在，每个污染物的经验模型可以使它们之间建立关系。在最佳条件下，PA 和 MB 的光降解率分别为 67.12%和 87.96%。此外，还研究了反应动力学和机理，结果表明，每种污染物都遵循准一级模型。
