色谱 ›› 2025, Vol. 43 ›› Issue (11): 1235-1243.DOI: 10.3724/SP.J.1123.2025.04009

• 研究论文 • 上一篇    下一篇

分散膜萃取-超高效液相色谱-串联质谱法测定海水中8种全氟及多氟烷基化合物

任真1, 马继平1,*(), 刘雅静2, 张澜3, 吴阁格1, 李爽1()   

  1. 1.青岛理工大学环境与市政工程学院,山东 青岛 266520
    2.山东省青岛生态环境监测中心,山东 青岛 266003
    3.日照市质量检验检测研究院,山东 日照 276800
  • 收稿日期:2025-04-07 出版日期:2025-11-08 发布日期:2025-11-07
  • 通讯作者: *Tel:(0532)85071262,E-mail:majiping2012@163.com(马继平);E-mail:lishuang@qut.edu.cn(李爽).
  • 基金资助:
    国家自然科学基金(21976099);山东省自然科学基金(ZR2019MB046)

Determination of eight per- and polyfluoroalkyl substances in seawater using dispersive membrane extraction-ultra-high performance liquid chromatography-tandem mass spectrometry

REN Zhen1, MA Jiping1,*(), LIU Yajing2, ZHANG Lan3, WU Gege1, LI Shuang1()   

  1. 1. School of Environmental and Municipal Engineering,Qingdao University of Technology,Qingdao 266520,China
    2. Qingdao Ecological Environment Monitoring Center of Shandong Province,Qingdao 266003,China
    3. Rizhao Quality Inspection and Testing Research Institute,Rizhao 276800,China
  • Received:2025-04-07 Online:2025-11-08 Published:2025-11-07
  • Supported by:
    National Natural Science Foundation of China(21976099);Natural Science Foundation of Shandong Province of China(ZR2019MB046)

摘要:

基于阳离子型金属有机骨架膜材料,建立了一种分散膜萃取(DME)与超高效液相色谱-串联质谱(UHPLC-MS/MS)相结合的分析方法,用于同时检测海水中8种全氟及多氟烷基化合物(PFASs)。优化的色谱-质谱条件如下:ACQUITY UPLC BEH C18色谱柱(100 mm×2.1 mm, 1.7 μm),进样体积为10 μL,柱温保持在40 ℃,流速为0.4 mL/min,采用1.0 mmol/L乙酸铵水溶液和乙腈为流动相进行梯度洗脱;在负离子模式下,通过电喷雾离子源(离子源电压-2 500 V,离子源温度300 ℃)进行质谱检测,并使用多反应监测模式采集化合物质谱信息。在最优条件下,8种PFASs在各自的浓度范围内线性关系良好,相关系数均≥0.990 7,方法的检出限为0.07~0.49 ng/L,定量限为0.22~1.63 ng/L。在10、50和100 ng/L加标水平下PFASs的回收率为50.4%~116.4%,日内和日间相对标准偏差分别为1.0%~19.2%和2.2%~19.5%。将该方法应用于胶州湾表层海水中8种PFASs的检测,共检出7种PFASs。其中,全氟-11-氯-3-氧杂十一烷磺酸检出浓度最高,平均质量浓度为17.11 ng/L。与2018年胶州湾表层海水中PFASs的检出结果对比,全氟辛酸的平均质量浓度水平明显降低。同时新型PFASs中全氟-9-氯-3-氧杂壬烷磺酸钾在胶州湾表层海水中被检出,可能与近些年PFASs的生产转型有关。新型PFASs的广泛使用可能带来与传统PFASs类似的环境风险,需引起人们高度关注。综上所述,本方法操作简便、快速且灵敏度高,适用于海水中8种PFASs的分析。

关键词: 全氟及多氟烷基化合物, 分散膜萃取, 阳离子型金属有机骨架, 超高效液相色谱-串联质谱法

Abstract:

Per- and polyfluoroalkyl substances (PFASs) are widely utilized in various industrial applications. Their persistence in ecosystems raises significant global environmental health concerns. Numerous studies have confirmed the toxicity of PFASs to human endocrine and immune systems. The carcinogenic risks associated with PFASs exposure increasingly alarm public health authorities worldwide. As a result, regulatory policies have been implemented to restrict both the production and environmental release of PFASs. In China, the GB 5749-2022 standard establishes stringent limits for PFASs concentrations in drinking water, capping levels of perfluorooctane sulfonic acid (PFOS) at 40 ng/L and perfluorooctanoic acid (PFOA) at 80 ng/L. Effective monitoring of PFASs requires advanced analytical techniques that exhibit exceptional sensitivity. Ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) has emerged as the preferred technique for detecting these substances due to its superior selectivity and low detection limits. However, complex environmental matrices necessitate optimized sample pretreatment strategies to enhance analysis accuracy. Efficient extraction methods must effectively address matrix interference while ensuring analyte enrichment. Dispersive membrane extraction (DME) presents distinct advantages for the pretreatment of PFASs; its operational simplicity is complemented by high enrichment capabilities and efficient mass transfer. The selection of extraction materials critically influences DME performance parameters. Metal-organic frameworks (MOFs) are porous materials composed of organic ligands and metal clusters, featuring tunable pores, high surface areas, and rapid mass transfer. These unique properties enable their current use in sample pretreatment for environmental analysis. This study integrates DME with UHPLC-MS/MS utilizing cationic MOF membranes, enabling simultaneous detection of eight different PFASs within seawater matrices. Optimized parameters ensure reliable quantification of trace-level contaminants throughout this process. The experimental design assessed various parameters, including types of organic solvents (methanol and acetonitrile), ammonium acetate concentrations in the aqueous phase (0.1, 0.5, 1.0, 2.0, and 5.0 mmol/L), as well as ion source voltages (-2 500, -3 500, and -4 500 V), all of which influenced detection efficacy. Chromatographic separation was performed using an ACQUITY UPLC BEH C18 column (100 mm×2.1 mm, 1.7 μm). Gradient elution combined 1 mmol/L ammonium acetate with acetonitrile for optimal results. Detection was conducted utilizing electrospray ionization (ESI) in negative ion scanning mode coupled with multiple reaction monitoring (MRM). The results indicated that all eight PFASs could be effectively separated within a timeframe of 12 min, exhibiting favorable peak shapes and high response values. Under optimal conditions, the eight PFASs demonstrated strong linearity across their respective concentration ranges; the correlation coefficients (r²) were all not less than 0.990 7. Recoveries of PFASs at spiking levels of 10, 50, and 100 ng/L ranged from 50.4% to 116.4%, while intra-day and inter-day relative standard deviations (RSDs) varied from 1.0% to 19.2% and from 2.2% to 19.5%, respectively. The method’s limits of detection (LODs) ranged from approximately 0.07 ng/L to 0.49 ng/L, whereas the limits of quantification (LOQs) varied from around 0.22 ng/L to 1.63 ng/L. Jiaozhou Bay serves as a typical semi-enclosed bay along the Pacific coast where terrestrial runoff converges nutrients alongside diverse organic/inorganic pollutants that pose potential health risks for aquatic organisms inhabiting these waters. This method was utilized for the detection of the eight PFASs in the surface seawater of Jiaozhou Bay, and seven types were successfully identified. Among these, potassium 11-chloroeicosafluoro-3-oxaundecane-1-sulfonate (Minor F-53B) exhibited the highest detection concentration, with an average mass concentration of 17.11 ng/L. When compared to the 2018 detection results of PFASs in the surface seawater of Jiaozhou Bay, the average mass concentration of perfluorooctanoic acid (PFOA) has significantly decreased. Additionally, potassium 9-chlorohexadecafluoro-3-oxanonane-1-sulfonate (F-53B), one of the newly emerging PFASs, was detected in the surface seawater of Jiaozhou Bay, which may be attributed to the recent shift in PFASs production. The widespread use of these new PFASs may introduce environmental risks. These risks resemble those of traditional PFASs and require urgent attention. In summary, this method is operationally straightforward, rapid, and highly sensitive; it is suitable for analyzing the eight PFASs in seawater. This approach can provide a valuable data foundation and scientific basis for research and analysis concerning PFASs in environmental water bodies.

Key words: per- and polyfluoroalkyl substances (PFASs), dispersive membrane extraction (DME), cationic metal-organic framework, ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS)

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