{"title":"环境水基质中PFAS的绿色测定方法:MOF nh2 - uo2 -66分散固相萃取和高分辨率质谱分析","authors":"Styliani Petromelidou , Vasileios Alampanos , Amina Haj-Yahya , Theodore Lazarides , Dimitra A. Lambropoulou","doi":"10.1016/j.greeac.2025.100235","DOIUrl":null,"url":null,"abstract":"<div><div>A rapid and efficient method was developed for the extraction of nine per- and polyfluoroalkyl substances (PFAS) from environmental water samples. The method utilizes a metal-organic framework (MOF)-assisted dispersive solid-phase extraction (d-SPE) approach, employing the amino-functionalized Zr(IV) MOF NH2-UiO-66. Analytical determination was performed using liquid chromatography coupled with tandem high-resolution mass spectrometry (LC<img>HRMS).</div><div>Key parameters influencing the extraction efficiency, including extraction time, elution time, and sample volume, were systematically optimized. Based on the results, the optimal conditions were determined to be 15 min of extraction, 5 min of elution, and a sample volume of 10 mL. The method's accuracy, repeatability, and linearity were thoroughly validated, demonstrating robust performance. Recoveries exceeded 70 % with relative standard deviations (RSDs) below 20 %, and the method achieved detection limits ranging from 4 to 95 ng L⁻¹. Additionally, the reusability of the MOF material was evaluated, showing that it could be reused up to three times without significant loss in efficiency.</div><div>Before application to real samples, the \"green\" attributes of the newly developed MOF-based dSPE-LC<img>HRMS method were assessed using the ComplexMoGAPI index. The evaluation yielded a total score exceeding 75, categorizing the method as eco-friendly. The method's efficacy was further validated using various environmental water matrices with different levels of complexity, including runoff water, river water, seawater, and wastewater effluent.</div></div>","PeriodicalId":100594,"journal":{"name":"Green Analytical Chemistry","volume":"12 ","pages":"Article 100235"},"PeriodicalIF":6.2000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A green method for the determination of PFAS in environmental water matrices: Dispersive solid phase extraction using MOF NH2-UiO-66 and high-resolution mass spectrometry analysis\",\"authors\":\"Styliani Petromelidou , Vasileios Alampanos , Amina Haj-Yahya , Theodore Lazarides , Dimitra A. Lambropoulou\",\"doi\":\"10.1016/j.greeac.2025.100235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>A rapid and efficient method was developed for the extraction of nine per- and polyfluoroalkyl substances (PFAS) from environmental water samples. The method utilizes a metal-organic framework (MOF)-assisted dispersive solid-phase extraction (d-SPE) approach, employing the amino-functionalized Zr(IV) MOF NH2-UiO-66. Analytical determination was performed using liquid chromatography coupled with tandem high-resolution mass spectrometry (LC<img>HRMS).</div><div>Key parameters influencing the extraction efficiency, including extraction time, elution time, and sample volume, were systematically optimized. Based on the results, the optimal conditions were determined to be 15 min of extraction, 5 min of elution, and a sample volume of 10 mL. The method's accuracy, repeatability, and linearity were thoroughly validated, demonstrating robust performance. Recoveries exceeded 70 % with relative standard deviations (RSDs) below 20 %, and the method achieved detection limits ranging from 4 to 95 ng L⁻¹. Additionally, the reusability of the MOF material was evaluated, showing that it could be reused up to three times without significant loss in efficiency.</div><div>Before application to real samples, the \\\"green\\\" attributes of the newly developed MOF-based dSPE-LC<img>HRMS method were assessed using the ComplexMoGAPI index. The evaluation yielded a total score exceeding 75, categorizing the method as eco-friendly. 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引用次数: 0
摘要
建立了一种从环境水样中提取全氟烷基和多氟烷基物质(PFAS)的快速高效方法。该方法采用金属-有机骨架(MOF)辅助分散固相萃取(d-SPE)方法,采用氨基功能化的Zr(IV) MOF NH2-UiO-66。采用液相色谱-串联高分辨率质谱法(LCHRMS)进行分析。对影响提取效率的关键参数提取时间、洗脱时间、样品体积进行了系统优化。在此基础上,确定了提取时间为15 min,洗脱时间为5 min,进样量为10 mL的最佳条件。对该方法的准确性、重复性和线性进行了全面验证,显示出稳健的性能。加样回收率超过70%,相对标准偏差(rsd)低于20%,检测限为4 ~ 95 ng L -毒毒学(毒毒学)。此外,对MOF材料的可重复使用性进行了评估,表明它可以重复使用三次而不会显著降低效率。在应用于实际样品之前,使用ComplexMoGAPI指数对新开发的基于mof的dSPE-LCHRMS方法的“绿色”属性进行评估。评价结果是总分超过75分,被评为“生态友好型”。使用不同复杂程度的环境水基质,包括径流水、河水、海水和废水,进一步验证了该方法的有效性。
A green method for the determination of PFAS in environmental water matrices: Dispersive solid phase extraction using MOF NH2-UiO-66 and high-resolution mass spectrometry analysis
A rapid and efficient method was developed for the extraction of nine per- and polyfluoroalkyl substances (PFAS) from environmental water samples. The method utilizes a metal-organic framework (MOF)-assisted dispersive solid-phase extraction (d-SPE) approach, employing the amino-functionalized Zr(IV) MOF NH2-UiO-66. Analytical determination was performed using liquid chromatography coupled with tandem high-resolution mass spectrometry (LCHRMS).
Key parameters influencing the extraction efficiency, including extraction time, elution time, and sample volume, were systematically optimized. Based on the results, the optimal conditions were determined to be 15 min of extraction, 5 min of elution, and a sample volume of 10 mL. The method's accuracy, repeatability, and linearity were thoroughly validated, demonstrating robust performance. Recoveries exceeded 70 % with relative standard deviations (RSDs) below 20 %, and the method achieved detection limits ranging from 4 to 95 ng L⁻¹. Additionally, the reusability of the MOF material was evaluated, showing that it could be reused up to three times without significant loss in efficiency.
Before application to real samples, the "green" attributes of the newly developed MOF-based dSPE-LCHRMS method were assessed using the ComplexMoGAPI index. The evaluation yielded a total score exceeding 75, categorizing the method as eco-friendly. The method's efficacy was further validated using various environmental water matrices with different levels of complexity, including runoff water, river water, seawater, and wastewater effluent.