催化作用
化学工程
化学
废水
降级(电信)
电子顺磁共振
环境修复
扫描电子显微镜
介孔材料
混合材料
材料科学
核化学
废物管理
污染
复合材料
有机化学
电信
生态学
计算机科学
工程类
生物
物理
核磁共振
作者
Sijia She,Jiaqiang Wang,Jingxuan Liu,Cai‐Yan Gao,Yubiao Li,Lang Yang,Xiaoyong Wu,Shaoxian Song
标识
DOI:10.1016/j.cej.2021.131295
摘要
Resourcing solid waste as catalysts for activating peroxymonosulfate (PMS) used in high-salt organic wastewater treatment, to realize waste control, is meaningful, promising, and a win–win strategy for environmental remediation. Here, a magnetically recyclable hybrid originating from used warm paste (greater than92% yield) was developed using water washing to activate PMS for antibiotics degradation under hypersaline system. Scanning electron microscope (SEM) and transmission electron microscopy (TEM) measurements indicated that the hybrid is a sheet structure with active Fe sites uniformly dispersed on the surface. The hybrid displayed an excellent PMS activation capacity; it is superior to those of classical Fe3O4 and Co3O4, which could degrade the tetracycline (TC). However, under a high-salt (0.2 mol/L Na2SO4) or mixed salts condition, the hybrid exhibited TC degradation performance. Moreover, a detailed investigation of the impact on of TC removal indicated that the preferable conditions were pH = 6, temperature = 25 °C, catalyst = 0.3 g/L and PMS = 0.3 g/L. Systematic experiments uncovered the hybrid exhibiting superb catalysis universality and adaptability in three refractory organics, 5 natural polluted water matrices, and coexisting-ions system, as well as five times, recycle processes. The surface chemical analysis combined with quenching experiment and electron paramagnetic resonance (EPR) test confirmed the PMS activation mechanism and the reactive radicals contributed in order of 1O2 > •OH > SO4•−. Considering its performance, stability and applicability, the warm paste hybrid would be good for PMS activation toward high-salt environment remediation. Thus inducing a novel direction for solid waste treatment and mitigated resource scarcity.
科研通智能强力驱动
Strongly Powered by AbleSci AI