高盐度化工废水中有机物的选择性去除:超滤还是纳滤?

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Weizhu Zhou, Jiansuxuan Chen, Ruobin Dai, Zhiwei Wang
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引用次数: 0

摘要

高盐度化工废水的有效分离与处理已成为化工行业面临的关键问题。膜分离技术,包括超滤(UF)和纳滤(NF)膜,是选择性分离无机盐和有机化合物的潜在候选者。在本研究中,我们研究了一系列商用超滤膜(UF10k、UF5k、UF3k和UF1k)和滤膜(NF270、NF90、BSY90、BSY60、BSY30)对实际高盐度化工废水的选择性分离性能。UF1k具有最低的分子量截止值(MWCO)为1 kDa,在各种超滤膜中表现出最好的分离性能。由于废水中存在低分子量有机物,两道超滤和混凝-超滤不能有效提高超滤的分离性能。在NF膜中,我们惊奇地发现,尽管理论上孔径较小,但在高盐度环境中,某些NF膜对有机物的截留率甚至低于UF1k。机理研究表明,盐浓度的增加会导致纳滤膜的孔隙膨胀、孔壁脱水和电荷屏蔽效应,从而导致MWCO的显著增加。BSY90是最致密的纳滤膜,其孔径最小,zeta电位最高,对高盐度化工废水中有机物的截留效果最好。研究结果可为超滤膜和纳滤膜在高盐度化工废水中物质的精确选择性分离中的合理选择提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Selective removal of organic matters from high-salinity chemical industrial wastewater: Ultrafiltration or nanofiltration?

Selective removal of organic matters from high-salinity chemical industrial wastewater: Ultrafiltration or nanofiltration?

Selective removal of organic matters from high-salinity chemical industrial wastewater: Ultrafiltration or nanofiltration?
The effective separation and treatment of high-salinity chemical industrial wastewater has become a critical issue for the chemical industry. Membrane separation technology, including ultrafiltration (UF) and nanofiltration (NF) membranes, are potential candidates for selectively separating inorganic salts and organic compounds. In this study, we investigated the selective separation performance of real high-salinity chemical industrial wastewater by a series of commercial UF (UF10k, UF5k, UF3k, and UF1k) and NF (NF270, NF90, BSY90, BSY60, BSY30) membranes. UF1k exhibited the best separation performance among the various UF membranes, owing to its lowest molecular weight cut-off (MWCO) of 1 kDa. Further two-pass UF and coagulation-UF cannot effectively improve the separation performance of UF as the presence of low molecule weight organics in the wastewater. Among the NF membranes, we surprisingly found that some NF membranes, despite having smaller pore sizes theoretically, exhibited even lower rejection of organic matters than UF1k in high-salinity environments. Mechanistic investigation revealed that increased salt concentrations led to pore swelling, pore-wall dehydration and charge shielding effects in NF membranes, which resulted in a substantially enlarged MWCO. BSY90, the tightest NF membrane, exhibited the best performance in the rejection of organic compounds from the high-salinity chemical industrial wastewater, owing to its smallest pore size and highest zeta potential. Our findings offer guidance for the proper selection of UF and NF in the precise selective separation of substances in high-salinity chemical industrial wastewater.
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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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