In this work, composite photocatalysts containing cobalt-aluminum layered double hydroxides (Co-Al LDH), graphitic carbon nitride (g-C${}_3$N₄), and cobalt ferrite (CoFe ₂O₄) were prepared and applied for the photocatalytic degradation of chlorpyrifos (CP) as a model agricultural pollutant. The Co-Al LDH/g-C${}_3$N₄-CoFe ₂O₄ composites showed enhanced photocatalytic activity compared to g-C${}_3$N₄, due to the improved separation of photo-generated electrons and holes. 97.2% of CP was degraded during the photocatalytic process in the presence of the Co-Al LDH/g-C${}_3$N₄-CoFe ₂O₄ photocatalyst. Almost complete degradation of CP was achieved under visible light irradiation, the photocatalytic activity of the composite was also dependent on the CP concentration, pH, and photocatalyst amount. A mathematical model incorporating these parameters was developed through response surface methodology, allowing optimized photodegradation of CP. The photo-oxidation of CP followed a pseudo-first-order kinetic model.

在这项工作中，含有钴铝层状双氢氧化物（Co-Al LDH）、石墨氮化碳（gC${}_3$制备了N ₄ ) 和铁酸钴 (CoFe ₂ O ₄ ) 并将其用于光催化降解毒死蜱 (CP) 作为模型农业污染物。钴铝 LDH/gC${}_3$与gC相比，N ₄ -CoFe ₂ O ₄复合材料显示出增强的光催化活性${}_3$N ₄，由于改进了光生电子和空穴的分离。在 Co-Al LDH/gC 的存在下，97.2% 的 CP 在光催化过程中被降解${}_3$N ₄ -CoFe ₂ O ₄光催化剂。在可见光照射下，CP几乎完全降解，复合材料的光催化活性还取决于CP浓度、pH值和光催化剂用量。通过响应面方法开发了包含这些参数的数学模型，从而优化了 CP 的光降解。CP 的光氧化遵循准一级动力学模型。