评估厌氧消化污泥中的痕量有机化学品及其分配行为:同时进行索氏化学萃取并通过 LC-MS/MS 分析进行定量

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-11-10 DOI:10.1016/j.watres.2024.122780
Enrica Ciotola , Ignacio Sottorff , Konrad Koch , Alessandra Cesaro , Giovanni Esposito
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引用次数: 0

摘要

厌氧消化污泥(ADS)中检测到的痕量有机污染物(TrOCs)越来越多,引发了人们对其循环经济再利用实践的日益关注。为了确定这些污染物的浓度限值、分配行为以及去除这些污染物的创新技术,科学界已经做出了大量努力,这就需要确定多功能且经济上可持续的分析方法。在本研究中,开发了一种索氏提取法和 LC-MS/MS 分析相结合的方法,可同时测定 ADS 中的 32 种 TrOCs,其中 11 种是首次在这种基质中进行量化。目标 TrOCs 的选择依据是欧洲城市污水处理指令,以及它们在城市污水和/或污泥中的检测频率和化学多样性。使用甲醇作为溶剂可从 ADS 固相中获得良好的回收率,萃取时间为 3.5 小时,且无需后续净化程序。目标 LC-MS/MS 方法实现了液相中 TrOCs 的高灵敏度定量。在德国两家污水处理厂的 ADS 样品中,至少检测到了 32 种目标化合物中的 25 种,提供了其浓度数据,并强调了 TrOCs 特性和污泥性质对污染物分配系数 (KD) 的影响。实验结果凸显了索氏提取法的多功能性,它能有效提取具有不同性质和结构的化合物,为分析各种基质开辟了新的前景。这可以支持《欧洲污水污泥指令》,将其应用范围扩大到土壤和栽培食品,并深入了解 TrOCs 在不同基质之间的转移及其用作肥料时的影响,从而帮助有效定义风险评估方法和监管浓度限值。
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Assessment of trace organic chemicals in anaerobically digested sludge and their partitioning behaviour: Simultaneous Soxhlet chemical extraction and quantification via LC-MS/MS analysis
The increasing number of trace organic contaminants (TrOCs) detected in anaerobically digested sludge (ADS) is triggering increasing concern on its circular-economy reuse practices. A large scientific effort has been performed to define their concentration limits, partition behaviour, and innovative technologies for their removal, which require the definition of versatile and economically sustainable analytical methodologies. In this study, a Soxhlet extraction method coupled with LC-MS/MS analysis was developed to simultaneously determine 32 TrOCs in ADS, 11 of them being quantified in this matrix for the first time. The targeted TrOCs were selected based on the European Urban Wastewater Treatment Directive, and on their frequency of detection in municipal wastewater and/or sludge and chemical diversity. The use of methanol as solvent allowed good recovery efficiencies from ADS solid phase, with an extraction time of 3.5 h and without the need for subsequent clean-up procedures. The targeted LC-MS/MS method enabled high-sensitivity quantification of TrOCs in the liquid phase. At least 25 out of the 32 target compounds were detected in ADS samples from two wastewater treatment plants in Germany, providing their concentration data and highlighting the influence of TrOCs characteristics and sludge properties on contaminant partition coefficients (KD). The experimental outcomes highlight the versatility of the Soxhlet method, which is effective in extracting compounds characterized by diverse properties and structures, and opens new perspectives for the analysis of various substrates. This could support the European Sewage Sludge Directive, expanding its application to soils and cultivated foods and offering insights into TrOCs transfer among different substrates and their influence when used as fertilizer, aiding in the efficient definition of risk assessment methodologies and regulatory concentration limits.
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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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