A novel MOF-derived Fe/Ce@NPC-600 floating cathode with massive FeII using in photoelectro-Fenton system for efficient degradation of aqueous tetracycline: Fabrication, performance prediction based on machine learning and mechanism

被引:8
作者
Guo, Yanjun [1 ]
Cao, Chuan [1 ]
Zheng, Lixia [2 ]
Zhong, Yuxiang [2 ]
Duan, Pingzhou [3 ]
Hu, Xiang [1 ]
机构
[1] Beijing Univ Chem Technol, Coll Chem Engn, Res Grp Water Pollut Control & Water Reclamat, Beijing 100029, Peoples R China
[2] Inner Mongolia Ecol Environm Sci Res Inst Co Ltd, Hohhot 010000, Peoples R China
[3] Chinese Res Inst Environm Sci, State Key Lab Environm Criteria & Risk Assessment, Beijing 100012, Peoples R China
基金
中国国家自然科学基金;
关键词
Floating cathode; MOF-derived catalyst; Solar photoelectro-Fenton process; Synergistic effect; Machine learning; METAL-ORGANIC FRAMEWORK; HYDROGEN-PEROXIDE; H2O2; ELECTROGENERATION; CATALYTIC-ACTIVITY; NITROGEN; GENERATION;
D O I
10.1016/j.seppur.2024.129811
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
A MOF-derived carbon/metal oxide composite (Fe/Ce@NPC-600) by doping Ce into NH2-MOF-101(Fe) precursor and simple one-step carbonization was fabricated. Fe/Ce@NPC-600 as a floating cathode was innovatively applied to the solar photoelectro-Fenton (SPEF) process to increase the yield of H2O2 and activate it for degradation tetracycline (TC). The characterizations showed that the presence of Ce greatly increased the content of Fe2+ and photoresponse ability in the material. Thanks to the synergistic effect of Fe and Ce, Fe/Ce@NPC600 cathode could efficiently degrade TC by 98.2% within 30 min, and the removal rate of total organic carbon (TOC) was 68.2%, and the photoelectric synergistic enhancement factor (fPEF) was 1.4. Besides, based on machine learning, a extreme gradient boosting model was established to predict electrode performance. The degradation mechanism and pathway of TC were also proposed. Our results inspired the application of floating cathodes, MOF-derived materials and artificial intelligence for advanced oxidation processes for efficient removal of emerging contaminants.
引用
收藏
页数:17
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