Efficient antibiotic tetracycline degradation and toxicity abatement via the perovskite-type CaFexNi1-xO3 assisted heterogeneous electro-Fenton system

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Yuling Liang , Aochen Feng , Naif Abdullah Al-Dhabi , Jing Zhang , Wenle Xing , Tao Chen , Yuxuan Han , Guangming Zeng , Lin Tang , Wangwang Tang
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Abstract

As one of the emerging contaminants, antibiotics are posing a great threat to the human health and environment, which requires effective treatment methods. Heterogeneous electro-Fenton is a promising technique for organic contaminant elimination, but preparation of an appropriate heterogeneous electro-Fenton catalyst still remains challenging. In this work, the feasibility of perovskite-type CaFexNi1-xO3 as heterogeneous electro-Fenton catalyst for tetracycline (TC) removal and toxicity abatement has been explored. It was found that, among the examined CaFexNi1-xO3 catalysts with different Ni doping amount, CaFe3/4Ni1/4O3 exhibited the best performance, achieving 92.1 % TC removal within 30 min without pH adjustment in the presence of 0.05 M Na2SO4 electrolyte. Choosing Cl-containing electrolyte enabled further improvement towards TC elimination. In addition, the CaFe3/4Ni1/4O3 based heterogeneous electro-Fenton system presented other advantages including good recyclability and universal applicability, and significant toxicity reduction (verified via both ECOSAR simulation and soybean germination test). The TC degradation pathways were elucidated through identification of intermediate products and DFT calculations. Mechanism investigations revealed that there existed a strong synergy between Fe and Ni, and ·OH and ·O2 played the primary roles in the system while 1O2 played an auxiliary role. This study presented a promising heterogeneous electro-Fenton catalyst for degradation of antibiotics such as tetracycline.

Abstract Image

钙钛矿型CaFexNi1-xO3辅助非均相电fenton体系对抗生素四环素的高效降解和毒性降低
抗生素作为新兴污染物之一,对人类健康和环境造成了巨大威胁,需要有效的治理方法。非均相电fenton是一种很有前途的有机污染物去除技术,但制备合适的非均相电fenton催化剂仍然是一个挑战。本文探讨了钙钛矿型CaFexNi1-xO3作为多相电fenton催化剂去除四环素(TC)和降低毒性的可行性。结果表明,在不同Ni掺杂量的CaFexNi1-xO3催化剂中,CaFe3/4Ni1/4O3表现出最好的性能,在0.05 M Na2SO4电解质存在的情况下,在不调整pH的情况下,在30 min内达到92.1 %的TC去除率。选择含Cl−的电解质可以进一步改善TC的消除。此外,CaFe3/4Ni1/4O3基非均相电fenton体系还具有良好的可回收性和普遍适用性,以及显著的毒性降低(通过ECOSAR模拟和大豆发芽试验验证)。通过中间产物的鉴定和DFT计算,阐明了TC的降解途径。机理研究表明,Fe和Ni之间存在较强的协同作用,其中·OH和·O2−在体系中起主要作用,而1O2起辅助作用。本研究提出了一种很有前途的非均相电fenton催化剂,用于降解四环素等抗生素。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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