芬顿污泥生物炭活化高碘酸盐以增强四环素降解:通过机器学习识别关键因素

IF 4.4 3区 化学 Q1 CHEMISTRY, INORGANIC & NUCLEAR
Wen Tan , Yuxuan Chen , Yuxin Liu , Honghui Pan , Xixiang Liu , Qin Shi , Ziyin Li , Chuanqi Zhao
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Periodate activation by a Fenton sludge biochar for enhanced tetracycline degradation: Identification of key factors through machine learning

Periodate activation by a Fenton sludge biochar for enhanced tetracycline degradation: Identification of key factors through machine learning
An innovative composite catalyst for enhanced tetracycline (TC) degradation was synthesized by combining Fenton sludge from wastewater treatment with bagasse, advancing the concept of “waste for waste” by efficiently utilizing the industrial by-products. The catalyst, in conjunction with periodate technology, exhibited TC degradation rates above 92 % in a broad pH range (3–11) and complex aqueous matrices. A comprehensive investigation was conducted to examine the impact of the catalyst quality, solution pH, contaminant concentration, and the presence of common anions on TC degradation. Iron oxide with a nanoblock structure, predominantly present as Fe3O4 according to X-ray diffraction (XRD) analysis, was uniformly distributed on the surface of folded biochar. X-ray photoelectron spectroscopy (XPS) analysis further indicated the presence of both Fe2+ and Fe3+ in the composite catalyst. The TC degradation process was hindered by the presence of SO42−, H2PO4, CO32−, and citrate ions, leading to the depletion of hydroxyl radicals and the formation of citrate in the system. In terms of oxidation mechanisms, electron paramagnetic resonance (EPR) and free radical trapping experiment identified the active species involved in TC degradation, arranged in the order according to their degradation activity: 1O2 > O2 > IO3/IO4 > OH. The iodate/periodate conversion experiments confirmed that no reactive iodine species or iodination by-products were generated in the system. Additionally, four machine learning (ML) models were applied to validate the catalyst’s synthesis procedure, predicting the factors of influence and identifying key variables. The optimal conditions for material preparation were determined using bidirectional partial dependence analysis (PDP), revealing a pyrolysis temperature range of 583–661 °C, a Fenton iron sludge/bagasse ratio of 1.75–3, and a binder ratio spanning from 0 to 12.5 %. These parameters were subsequently applied to optimize the synthesized material toward enhanced performance. The findings obtained in this study not only open new pathways for the resourceful utilization of Fenton iron sludge but also underscore the transformative potential of ML in advancing materials science.
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来源期刊
Inorganic Chemistry Communications
Inorganic Chemistry Communications 化学-无机化学与核化学
CiteScore
5.50
自引率
7.90%
发文量
1013
审稿时长
53 days
期刊介绍: Launched in January 1998, Inorganic Chemistry Communications is an international journal dedicated to the rapid publication of short communications in the major areas of inorganic, organometallic and supramolecular chemistry. Topics include synthetic and reaction chemistry, kinetics and mechanisms of reactions, bioinorganic chemistry, photochemistry and the use of metal and organometallic compounds in stoichiometric and catalytic synthesis or organic compounds.
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