Institute of Chemical Sciences, University of Peshawar, Khyber Pakhtunkhwa, 25120, Pakistan.
Key Laboratory for Palygorskite Science and Applied Technology of Jiangsu Province, National & Local Joint Engineering Research Center for Deep Utilization Technology of Rock-salt Resource, Faculty of Chemical Engineering, Huaiyin Institute of Technology, Huaian, 223003, China.
Chemosphere. 2022 Feb;289:133121. doi: 10.1016/j.chemosphere.2021.133121. Epub 2021 Dec 3.
The release of dyes-loaded wastewater from various industries is a major threat to human beings due to their health hazard effects. Ternary ferrites-based visible light photocatalyst FeZnCu O-CM (CZF-CM) was formed via the co-precipitation method. These prepared ternary ferrites nanoparticles FeZnCuO (CZF-NPs) and photocatalyst (CZF-CM) were analyzed using different spectroscopic techniques. The average crystallite size of CZF-NPs was calculated from XRD data using Scherer's equation and found to be 12 nm. The elemental composition of the synthesized ternary ferrites nanoparticles (CZF-NPs) was defined by the EDX images. The morphology of CZF-CM photocatalyst is spherical, having a smooth surface and average microspheres size of 810 μm based on SEM micrographs. The photocatalyst has bandgap of 2.57 eV, which lies in the visible range of the electromagnetic spectrum derived by extrapolating Tauc's plot. Photocatalyst CZF-CM showed 94% degradation efficiency for Rhodamine B (RB) dye at optimized conditions of initial dye concentration, catalyst dosage, pH and sunlight irradiation contact time as 40 ppm, 0.7 g, pH 8 and 125 min, respectively. Maximum degradation (96%) of methyl orange (MO) dye occurred at pH 6, at similar optimized conditions as the RB dye. The binary ferrites photocatalyst FeCuO-CM (CF-CM) and FeZnO-CM (ZF-CM) of the selected metals showed lesser photocatalytic efficiency than ternary ferrites. An artificial neural network in addition to the response surface methodology was used for the optimization process. The artificial neural network is highly in agreement with the experimental results obtained for the selected dyes. The corresponding predicted response for each data set from ANOVA showed high R, R and R values for the proposed model. It also indicates that contributing parameters in the model are significant due to having very high F-values and low p-values. It is concluded that the synthesized photocatalysts are considered an efficient entrant for the decolorization of industrial wastewater.
各种工业排放的含染料废水对人类健康构成严重威胁。通过共沉淀法制备了三元铁氧体可见光光催化剂 FeZnCu O-CM (CZF-CM)。使用不同的光谱技术分析了这些制备的三元铁氧体纳米粒子 FeZnCuO (CZF-NPs) 和光催化剂 (CZF-CM)。从 XRD 数据使用谢勒方程计算 CZF-NPs 的平均晶粒尺寸,发现为 12nm。通过 EDX 图像确定合成的三元铁氧体纳米粒子 (CZF-NPs) 的元素组成。根据 SEM 显微照片,CZF-CM 光催化剂的形态为球形,具有光滑的表面和平均微球尺寸为 810μm。光催化剂的带隙为 2.57eV,这是通过外推 Tauc 图从电磁光谱的可见范围得出的。在优化条件下,即初始染料浓度、催化剂用量、pH 值和阳光照射接触时间分别为 40ppm、0.7g、pH 8 和 125min 时,CZF-CM 光催化剂对罗丹明 B (RB) 染料的降解效率为 94%。在类似优化条件下,pH 6 时,MO 染料的最大降解率(96%)。所选金属的二元铁氧体光催化剂 FeCuO-CM (CF-CM) 和 FeZnO-CM (ZF-CM) 的光催化效率低于三元铁氧体。除响应面法外,还使用人工神经网络进行优化过程。人工神经网络与所选染料的实验结果高度一致。方差分析中每个数据集的对应预测响应均显示出高 R²、R²和 R²值,表明该模型的贡献参数非常重要,因为具有非常高的 F 值和低的 p 值。因此,可以得出结论,所合成的光催化剂被认为是工业废水脱色的有效方法。