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基于分子网络策略的非靶向筛查以识别废水中西酞普兰和舍曲林的转化产物。

Nontarget screening based on molecular networking strategy to identify transformation products of citalopram and sertraline in wastewater.

作者信息

Wu Gang, Wang Xuebing, Zhang Xuxiang, Ren Hongqiang, Wang Yanru, Yu Qingmiao, Wei Si, Geng Jinju

机构信息

State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, Jiangsu, China.

State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, Jiangsu, China; Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing 400044, China.

出版信息

Water Res. 2023 Apr 1;232:119509. doi: 10.1016/j.watres.2022.119509. Epub 2022 Dec 18.

Abstract

Citalopram (CIT) and sertraline (SER) are highly consumed antidepressants worldwide and have been extensively detected in wastewater. Due to the incomplete mineralization, transformation products (TPs) of them can be detected in wastewater. Comparing with parent compounds, knowledge on TPs are limited. To fill these research gaps, lab-scale batch experiments, WWTPs sampling and in silico toxicity prediction were implemented to investigate the structure, occurrence and toxicity of TPs. Based on molecular networking nontarget strategy, 13 TPs of CIT and 12 TPs of SER were tentatively identified. Among them, 4 TPs from CIT and 5 TPs from SER were newly found in present study. TPs identification results compared with results obtained from previous nontarget strategies demonstrated that the excellent performances for molecular networking strategy on candidate TPs prioritizing and new TPs finding, especially for low abundance TPs. Further, transformation pathways for CIT and SER in wastewater were proposed. Newly identified TPs provided insights on defluorination, formylation and methylation for CIT and dehydrogenation, N-malonylation and N-acetoxylation for SER transformed in wastewater. Nitrile hydrolysis and N-succinylation were found to be the dominant transformation pathways for CIT and SER in wastewater, respectively. WWTPs sampling results shown the concentrations of SER and CIT ranged from 0.46 to 28.66 ng/L and 17.16 to 58.36 ng/L. In addition, 7 TPs of CIT and 2 TPs of SER found in lab-scale wastewater samples were found in WWTPs. In silico results suggested 2 TPs of CIT may be more toxic than CIT toward all three trophic levels organisms. Present study provides new insights into the transformation processes of CIT and SER in wastewater. In addition, the necessity of paying more attention on TPs was further highlighted from the aspects of toxicity for TPs of CIT and SER in effluent of WWTPs.

摘要

西酞普兰(CIT)和舍曲林(SER)是全球消费量大的抗抑郁药,在废水中已被广泛检测到。由于矿化不完全,它们的转化产物(TPs)可在废水中被检测到。与母体化合物相比,关于TPs的知识有限。为填补这些研究空白,开展了实验室规模的批次实验、污水处理厂采样及计算机模拟毒性预测,以研究TPs的结构、存在情况和毒性。基于分子网络非靶向策略,初步鉴定出13种CIT的TPs和12种SER的TPs。其中,本研究新发现了4种CIT的TPs和5种SER的TPs。将TPs鉴定结果与先前非靶向策略获得的结果进行比较,表明分子网络策略在候选TPs排序和新TPs发现方面表现出色,尤其是对于低丰度TPs。此外,还提出了CIT和SER在废水中的转化途径。新鉴定出的TPs为废水中CIT的脱氟、甲酰化和甲基化以及SER的脱氢、N - 丙二酰化和N - 乙酰氧基化提供了见解。发现腈水解和N - 琥珀酰化分别是废水中CIT和SER的主要转化途径。污水处理厂采样结果显示,SER和CIT的浓度范围分别为0.46至28.66 ng/L和17.16至58.36 ng/L。此外,在实验室规模的废水样本中发现的7种CIT的TPs和2种SER的TPs也在污水处理厂中被发现。计算机模拟结果表明,2种CIT的TPs对所有三个营养级生物的毒性可能比CIT更大。本研究为CIT和SER在废水中的转化过程提供了新见解。此外,从污水处理厂出水CIT和SER的TPs毒性方面进一步强调了更多关注TPs的必要性。

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