Identifying and prioritizing organic toxicants in treated flowback and produced water from shale gas exploitation sites using an integrative effect-directed analysis and nontarget screening method

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-06-01 Epub Date: 2025-02-17 DOI:10.1016/j.watres.2025.123311
Liwei He , Fei Cheng , Fan Wu , Keshuo Zhang , Ling Zhang , Yingqi Du , Zhimin Zhou , Huizhen Li , Jiangmeng Kuang , Xiangying Zeng , Zhiqiang Yu , Jing You
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Abstract

The use of hydraulic fracturing in shale gas exploitation has generated substantial amount of flowback and produced water (FPW), and ecological risk of these highly complex chemical mixtures has raised worldwide concern. Herein, an integrative effect-directed analysis (EDA) and nontarget screening (NTS) workflow was developed to identify and prioritize main toxicants in the treated FPW (T-FPW). The workflow included sample extraction and fractionation, zebrafish embryo toxicity tests, target and nontarget chemical analyses, and toxicity prioritization and confirmation using toxicological priority index (ToxPi). Results showed that less hydrophobic compounds (log Kow < 3.7) which were used in fracturing fluid and their degradation products were the potentially high-risk toxicants in T-FPW. Thirty-nine target compounds identified in toxic fraction explained 4.82% of the mortality. Additional 584 nontarget contaminants were annotated by NTS. Risk prioritization was achieved for 470 identified contaminants with ecotoxicity data available using a ToxPi method. Six nontarget toxicants were identified with higher ecological risks than all target contaminants, and their presence in FPW were confirmed using reference standards. A principal component analysis of NTS features revealed that EDA fractionation reduced mixture complexity and focused toxicant screening, which significantly improved NTS efficiency, highlighting advantages of integrative EDA and NTS for mixture risk assessment.

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利用综合效应导向分析和非目标筛选方法,对页岩气开采现场处理后的返排水和采出水中的有机毒物进行识别和优先排序
在页岩气开采中,水力压裂产生了大量的返排和采出水(FPW),这些高度复杂的化学混合物的生态风险引起了全世界的关注。在此,研究人员开发了一种综合效应导向分析(EDA)和非靶标筛选(NTS)工作流程,以识别和优先处理处理过的FPW (T-FPW)中的主要毒物。工作流程包括样品提取和分离,斑马鱼胚胎毒性测试,目标和非目标化学分析,以及使用毒理学优先指数(ToxPi)进行毒性优先排序和确认。结果表明疏水化合物(log Kow <;3.7)在压裂液及其降解产物中使用,是T-FPW中潜在的高风险毒物。毒性部分鉴定出的39种目标化合物解释了4.82%的死亡率。另外584种非目标污染物被NTS标注。使用ToxPi方法对470种已确定的污染物进行了风险优先级排序,并获得了生态毒性数据。6种非目标毒物比所有目标污染物具有更高的生态风险,并使用参考标准确认了它们在FPW中的存在。对NTS特征的主成分分析表明,EDA分离降低了混合物的复杂性和集中毒物筛选,显著提高了NTS效率,突出了EDA和NTS综合用于混合物风险评估的优势。
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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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