Microplastics in wastewater treatment plant: Characterization of changes, influencing factors, and their impact on the spatial distribution of pathogenic bacteria

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-03-12 DOI:10.1016/j.watres.2025.123493
Yanjie Wang , Yifan Liu , Changfu Hao , Yan Li , Yang Liu , Bisheng Lai , Haoran Zhu , Kaixiong Yang
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Abstract

Wastewater treatment plants (WWTPs) have been proposed as pivotal convergence points for microplastics (MPs) and hotspots of bacterial pathogens. In this study, the characteristics of MPs and bacteria in the sewage/sludge were investigated and their relationship was formulated. Meanwhile, this study innovatively focused on the impact of MPs on microbial aerosolization process in WWTP. MPs and pathogenic bacteria were identified in sewage/sludge samples from all treatment steps, in which the levels and compositions of them vary. However, Bacillus, Planifilum, Achromobacter, and Geobacillus were the dominant genera in bioaerosol samples. The dominant shape of MPs was fibers and fragments. The main size range of MPs were 0.5 - 1 mm, with the primary type of polyethylene and polypropylene. White was the most prevalent color. Furthermore, a significant correlation between MPs and bacterial community structure in sewage/sludge was observed. The abundance and some characteristics of MPs showed positive correlations with the relative abundances of some potential pathogens, including Bacillus, Pseudomonas, Staphylococcus, Acinetobacter and Achromobacter. Aeration experiments demonstrated that the presence of MPs exerted an influence on the microbial aerosolization process. Collectively, this study provides a better understanding of the relationship between MPs and bacterial structures in a WWTP and offers new insights to the role of MPs on the microbial aerosolization process. The findings will provide a basis for the control and reduction of MPs and bacterial pathogens in WWTPs.

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污水处理厂微塑料:变化特征、影响因素及其对致病菌空间分布的影响
污水处理厂(WWTPs)被认为是微塑料(MPs)的关键汇聚点和细菌病原体的热点。本研究考察了污水/污泥中MPs与细菌的特性,并建立了它们之间的关系。同时,本研究创新性地关注了MPs对污水处理厂微生物雾化过程的影响。在所有处理步骤的污水/污泥样品中鉴定出MPs和致病菌,其中它们的水平和组成各不相同。而在生物气溶胶样品中,芽孢杆菌、扁平菌、无色杆菌和地杆菌是优势属。MPs的主要形态是纤维和碎片。MPs的主要尺寸范围为0.5 ~ 1mm,主要类型为聚乙烯和聚丙烯。白色是最流行的颜色。此外,还观察到MPs与污水/污泥中细菌群落结构之间的显著相关性。MPs的丰度和部分特征与芽孢杆菌、假单胞菌、葡萄球菌、不动杆菌和无色杆菌等潜在病原菌的相对丰度呈正相关。曝气实验表明,MPs的存在对微生物雾化过程有影响。总的来说,本研究提供了对污水处理厂中MPs与细菌结构之间关系的更好理解,并为MPs在微生物雾化过程中的作用提供了新的见解。该研究结果将为控制和减少污水处理厂中MPs和细菌病原体提供依据。
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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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