Cu/Fe₃O₄@SiO₂ nanocomposites were synthesized and pre-specified by X-ray powder diffraction (XRD), field emission scanning electron microscopy (FESEM), energy dispersive X-Ray (EDX) and band gap energy via diffuse reflectance spectroscopy (DRS) techniques which due to their reasonable band gap (2.58 eV) is suitable candidate for visible light-driven photocatalyst. The prepared nanocomposites were used as photocatalyst for degradation of tartrazine (TR) and methylene blue (MB) in binary mixture under an efficient sonophotocatalytic reactor. The effect of seven effective parameters including initial concentration of TR and MB (5–25 mg L⁻¹), photocatalyst dosage (0.10–0.50 mg L⁻¹), solution flow rate (40–120 mL min⁻¹), oxygen flow rate (0.20–0.60 L min⁻¹), pH (2.0–10) and irradiation time (5–25 min) was studied and optimized using central composite design. The maximum sonophotocatalytic degradation percentages at optimum condition were found to be 99.98% and 99.96% for TR and MB, respectively. The kinetic studies strongly confirmed ability of pseudo first order reaction based on the Langmuir-Hinshelwood model for explanation of data and experimental results confirmed that understudy process is rapid and effective approach.

合成了Cu / Fe ₃ O ₄ @SiO ₂纳米复合材料，并通过X射线粉末衍射（XRD），场发射扫描电子显微镜（FESEM），能量色散X射线（EDX）和通过扩散反射的带隙能进行了预先指定。光谱技术（DRS），由于其合理的带隙（2.58 eV），适合用作可见光驱动的光催化剂。制备的纳米复合材料用作光催化剂，用于在高效的声光催化反应器中降解二元混合物中的酒石黄（TR）和亚甲基蓝（MB）。七个有效参数的影响，包括TR和MB的初始浓度（5–25 mg L ^-1），光催化剂剂量（0.10–0.50 mg L ^-1）），溶液流速（40–120 mL min ^-1），氧气流速（0.20–0.60 L min ^-1），pH（2.0–10）和辐照时间（5–25 min）进行了研究，并使用中心复合材料进行了优化设计。发现在最佳条件下，TR和MB的最大声光催化降解百分比分别为99.98％和99.96％。动力学研究强烈证实了基于Langmuir-Hinshelwood模型的伪一级反应用于解释数据和实验结果的能力，证实了研究不足是一种快速有效的方法。