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微纳米气泡强化臭氧氧化降解含酚废水

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为了降解毒性强的含酚工业废水,本文将微纳米气泡与臭氧氧化法相结合,探究了处理温度、溶液pH、苯酚初始浓度和臭氧浓度对苯酚降解的影响.结果表明,相较于传统气泡,微纳米气泡破裂可诱导产生更多的·OH,弥补了臭氧传质效率低和氧化性不足等缺点,使反应体系的氧化还原电位明显提高,并在苯酚降解过程中起到主要作用;相比于臭氧氧化法,苯酚降解效果得到显著提升;提升臭氧浓度、溶液pH及降低苯酚初始浓度均可促进反应体系中生成更多的·OH,进而提升除酚率.通过气相色谱-质谱法(GC-MS)检测苯酚降解的中间产物,分析了苯酚降解的可能路径.总体而言,微纳米气泡结合臭氧氧化法是一种有潜力的除酚技术,研究结果对此技术在工业废水降解中的应用和推广具有指导意义.
Micro-nano bubbles enhance ozone oxidation and degradation of wastewater containing phenol
In order to degrade the highly toxic phenol-containing industrial wastewater,this paper combined micro-nano bubbles with ozone oxidation to investigate the effects of treatment temperature,solution pH,initial phenol concentration and ozone concentration on phenol degradation.The results showed that the rupture of micro-nanobubbles could induce the generation of more·OH,which could make up for the shortcomings of low mass transfer efficiency and insufficient oxidizability of ozone,so that the redox potential of the reaction system could be significantly increased and played a major role in phenol degradation.Compared with ozone oxidation,the phenol degradation effect was significantly improved.The increase of ozone concentration,the increase of solution pH and the decrease of initial phenol concentration could promote the generation of more·OH in the reaction system,which could enhance the phenol removal rate.The intermediate products of phenol degradation were detected by gas chromatography-mass spectrometry(GC-MS),and the possible pathways of phenol degradation were speculated.Overall,the combination of micro-nano bubbles with ozone oxidation was a potential phenol removal technology,and the results of this study were of great significance in guiding the application and popularization of this technology in the degradation of industrial wastewater.

waste watermicro-nano bubblesozone oxidationphenoldegradation

宋占龙、汤涛、潘蔚、赵希强、孙静、毛岩鹏、王文龙

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山东大学燃煤污染物减排国家工程实验室,环境热工技术教育部工程研究中心,山东省能源碳减排技术与资源化利用重点实验室,山东济南 250061

废水 微纳气泡 臭氧氧化 苯酚 降解

山东省重大科技创新工程项目

2019JZZY020310

2024

化工进展
中国化工学会,化学工业出版社

化工进展

CSTPCD北大核心
影响因子:1.062
ISSN:1000-6613
年,卷(期):2024.43(8)
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