This study aims to enhance the adhesive force and catalytic efficiency of supported metal oxide catalysts during catalytic ozone oxidation degradation processes. To achieve this, the micro-arc oxidation (MAO) technique is employed to prepare catalytically active ceramic coatings on the surface of 6061 aluminum alloy. The MAO process enables the formation of a robust oxide layer with enhanced mechanical properties, while simultaneously improving the coating's effectiveness in facilitating catalytic ozone oxidation reactions. Through this method, it was possible to develop coatings that are more durable and efficient for practical applications in environmental catalysis, particularly in the degradation of organic pollutants. A comprehensive set of characterization techniques are employed to analyze the properties of the prepared MAO coatings. These techniques include scanning electron microscopy (SEM) for detailed surface morphology analysis, X-ray diffraction (XRD) for phase composition determination, thickness measurement to quantify the coating's physical properties, colorimetry to assess surface blackness, and surface roughness measurement to evaluate textural properties. To evaluate the catalytic performance of the coatings under practical conditions, p-chloronitrobenzene (P-CNB) and terephthalic acid (TA) are selected as model organic pollutants for catalytic ozone oxidation degradation experiments. These experiments are carried out under varying reaction conditions, such as different ozone flow rates and degradation time, to comprehensively assess the influence of these parameters on the coating's catalytic performance. The experimental results indicate that the degradation rate of degradation pollutants is significantly influenced by both the ozone flow rate and the degradation time. As the ozone flow rate increases and the degradation time is extended, the catalytic degradation efficiency of the MAO coating is also improved. Under optimized conditions, with an ozone flow rate of 9 L/min and an degradation time of 60 minutes, the degradation rates for P-CNB and TA by catalytic ozone oxidation using the MAO coating reaches 65.32% and 90.23%, respectively. The degradation rates are 1.3 and 1.05 times that of ozone alone, respectively, compared with the degradation efficiency observed with ozone treatment alone. Furthermore, the chemical oxygen demand (COD) removal rate and the total organic carbon (TOC) removal rate for P-CNB reach 38.75% and 22.03%, respectively, which are 1.9 and 3.4 times higher than those observed with ozone oxidation alone. For TA, the COD removal rate and the TOC reduction are 24.24% and 48.83%, respectively, 1.5 times and 3 times the original, respectively, compared with ozone oxidation without the MAO coating. These results demonstrate the considerable enhancement in catalytic performance offered by the MAO coating in the ozone oxidation process. The findings of this study confirm that the MAO technique successfully creates porous titanium-containing metal oxide coatings with high bonding strength on the surface of 6061 aluminum alloy. These coatings exhibit excellent catalytic activity by effectively promoting ozone decomposition, which in turn generates a substantial number of reactive hydroxyl radicals. These radicals significantly accelerate the indirect oxidation process of ozone, thereby greatly enhancing the overall degradation efficiency of organic pollutants, such as P-CNB and TA. The ability to significantly boost both COD removal and TOC reduction highlights the practical applicability of this technique in wastewater treatment and environmental remediation. Additionally, this research underscores the potential for using MAO-based coatings in environmental applications, where enhanced catalytic performance is required for sustainable pollution control technologies.
Key words
organic pollutants /
ozone oxidation /
micro-arc oxidation /
heterogeneous catalysts /
degradation rate
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Funding
National Natural Science Foundation of China (52375196); Natural Science Foundation of Sichuan Province (2023NSFSC0917); Graduate innovation fund of Sichuan University of Science and Engineering (Y2023008)
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