The recombination of photo-generated charge in the strontium titanate (SrTiO₃) semiconductor occurs quickly, which limits the usage of this semiconductor for photocatalytic applications. Therefore, the coupling of copper oxide (CuO) on Strontium titanate can improve its photo-catalytic activity, which investigated in this study. The relocation and separation of photo-excited electron and hole between strontium titanate and copper oxide nanoparticles as semiconductors can partially describe the improvement of photocatalytic activities of SrTiO₃/CuO nanoparticles. Hence, photoluminescence technique and ultraviolet–visible diffuse-reflectance analysis were performed to investigate possible separation mechanisms. Furthermore, by using suitable scavengers, which cease the oxidation process, free radical paths were determined and then fitted with the most possible mechanism. According to the mechanism, the CuO could help to separate the photo-generated electron-hole, efficiently. To evaluate photocatalytic degradation characteristics of the nanoparticles, the efficacies of several factors such as reaction time, dosage of catalyst, CuO percentage, and pH were investigated in a batch reactor with an internal UV lamp. The response surface modeling (RSM) was used to optimize the effective factors. By considering the impressive ranges of the factors, 31 runs were designed using the four-factor-five-level central composite design (CCD). The optimum levels of the operational parameters were found at pH of 7.5, catalyst dosage of 1.15 g/L, reaction time of 6.2 h, and CuO percentage of 2.3. Regression analysis with an R² value of 0.987 showed a good agreement between the experimental outcomes and the predicted value with a removal of 100%.

钛酸锶（SrTiO ₃）半导体中光生电荷的重组很快发生，这限制了该半导体在光催化应用中的用途。因此，在钛酸锶上偶联氧化铜（CuO）可以提高其光催化活性，本研究对此进行了研究。钛酸锶和氧化铜纳米粒子作为半导体之间光激发电子和空穴的重定位和分离可以部分描述SrTiO ₃光催化活性的提高/ CuO纳米粒子。因此，进行了光致发光技术和紫外可见漫反射分析，以研究可能的分离机理。此外，通过使用终止氧化过程的合适清除剂，确定了自由基路径，然后采用了最可能的机理。根据该机理，CuO可以帮助有效地分离光生电子空穴。为了评估纳米颗粒的光催化降解特性，在带有内置紫外灯的间歇反应器中研究了几个因素的效率，例如反应时间，催化剂用量，CuO百分比和pH。响应面建模（RSM）用于优化有效因素。考虑到令人印象深刻的因素范围，使用四因子五级中央复合设计（CCD）设计了31个运行。在pH值为7.5，催化剂用量为1.15 g / L，反应时间为6.2 h，CuO百分比为2.3的条件下，发现了最佳的操作参数水平。用R进行回归分析²值0.987显示出实验结果与预测值之间的良好一致性，去除率为100％。