Photocatalysis is a promising advanced
oxidation technology for
treating wastewater; however, the complexity, diversity, and variability
of actual wastewater make its application difficult at the current
level of technology. In this work, a photocatalyst gradation strategy
is proposed in which the specific photocatalysts Ag2O,
NaBiO3, and BiOCl0.75Br0.25 are combined
to treat the specific pollutants methyl orange, methylene blue, and
rhodamine B, as well as their mixtures. The photocatalyst ratio is
adjusted on the basis of big data analysis to photodegrade variable
mixed dye solutions rapidly and efficiently. The results demonstrate
positive synergistic effects among the photocatalysts, which can completely
decolorize a 30 mg/L mixed dye solution at a ratio of 1:1:1 in 15
min. When big data analysis is applied, mixed dye solutions with random
dye ratios are purified sufficiently to meet the standard using a
graded photocatalyst combination based on the predictions of the trained
model. This work provides a reference strategy for the treatment of
complex variable wastewater.
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