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QuEChERS结合超高效液相色谱-串联质谱法测定茶叶中18种全氟化合物

Determination of 18 Perfluorinated Compounds in Tea Leaves by a Quick, Easy, Cheap, Effective, Rugged, and Safe Method Combined With Ultra-High Performance Liquid Chromatography-Tandem Mass Spectrometry

  • 摘要:
    目的  建立一种基于QuEChERS前处理技术,结合超高效液相色谱-串联质谱同时测定茶叶中18种全氟化合物(perfluorinated compounds, PFCs)的分析方法。
    方法  检测的18种PFCs包括13种全氟羧酸类:全氟丁酸、戊酸、己酸、庚酸、辛酸、壬酸、癸酸、十一酸、十二酸、十三酸、十四酸、十六酸及十八酸;以及5种全氟磺酸类:全氟丁烷磺酸、己烷磺酸、庚烷磺酸、辛烷磺酸和癸烷磺酸。采用响应面法系统优化QuEChERS前处理条件。茶叶样品采用80%乙腈溶液提取后,加入20 mg N-丙基乙二胺(PSA)、210 mg 石墨化碳黑(GCB)和60 mg十八烷基硅烷(octadecylsilane, C18)混合吸附剂进行净化,取上清液氮吹浓缩,50%甲醇-2 mmol/L乙酸铵溶液复溶,采用ACQUITY UPLC BEH C18色谱柱(2.1 mm×50 mm,1.7 µm)分离,流动相由甲醇(A相)和2 mmol/L乙酸铵水溶液(B相)构成,采用洗脱梯度,总运行时间为18 min。采用电喷雾电离源负离子模式和多反应监测模式进行质谱测定,内标标准曲线法定量。同时采用AGREE和Analytical Eco-Scale算法评估方法绿色性。
    结果 18种PFCs的方法检出限为0.0057~1.23 ng/g,定量限为0.019~4.09 ng/g,大部分化合物的平均回收率为71.1%~117.9%,相对标准偏差<15%。方法的AGREE评分为0.49,Analytical Eco-Scale得分为76。在132份茶叶样品中均检出至少1种PFC,全氟羧酸的检出率高于全氟磺酸,其中全氟丁酸、全氟庚酸和全氟辛酸的检出率最高,分别为97.74%、93.23%和92.24%;全氟庚烷磺酸、全氟十一酸、全氟十二酸、全氟十六酸和全氟十八酸未检出。
    结论  本研究建立的方法具有简单、快速、灵敏的优点,适用于茶叶中18种全氟化合物的同时检测,且该方法绿色性较高,对操作者和环境影响较小。市售茶叶中PFCs污染普遍存在,应加强监督和管控。

     

    Abstract:
    Objective To establish an analytical method for the simultaneous determination of 18 perfluoroalkyl compounds (PFCs) in tea leaves using a quick, easy, cheap, effective, rugged, and safe (QuEChERS) method for sample pretreatment combined with ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS).
    Methods The target analytes—18 PFCs—included 13 carboxylic acid PFCs (perfluorobutanoic acid PFBA, perfluoropentanoic acid PFPeA, perfluorohexanoic acid PFHxA, perfluoroheptanoic acid PFHpA, perfluorooctanoic acid PFOA, perfluorononanoic acid PFNA, perfluorodecanoic acid PFDA, perfluoroundecanoic acid PFUdA, perfluorododecanoic acid PFTrDA, perfluorotridecanoic acid PFTeDA, perfluorotetradecanoic acid PFHxDA, perfluorohexadecanoic acid PFHpS, and perfluorooctadecanoic acid PFODA) and 5 sulfonic acid PFCs (perfluorobutanesulfonic acid PFBS, perfluorohexanesulfonic acid PFHxS, perfluoroheptanesulfonic acid PFHpS, perfluorooctanesulfonic acid PFOS, and perfluorodecanesulfonic acid PFDS). The QuEChERS pretreatment parameters were systematically optimized using the response surface methodology. The tea leave samples were extracted with an 80% acetonitrile solution and subsequently purified by adding a mixed absorbent consisting of 20 mg N-propyl-ethylenediamine (PSA), 210 mg graphitized carbon black GCB), and 60 mg octadecylsilane (C18). The supernatant was concentrated by nitrogen blowing and subsequently re-dissolved in 50% methanol-2 mmol/L ammonium acetate solution. The re-dissolved solution was injected into the UHPLC-MS/MS for analysis. The target analytes were separated on an ACQUITY UPLC BEH C18 column (2.1 mm × 50 mm, 1.7 µm). The mobile phases consisted of methanol (phase A) and 2 mmol/L aqueous ammonium acetate (phase B), with a gradient elution procedure. The total running time was 18 min. The mass spectrometry analysis was conducted using an electrospray ionization source in negative ionization mode and multi-reaction monitoring (MRM), with quantification performed using the internal standard curve method. The greenness of the analytical method was assessed using Analytical GREEnness calculator (AGREE) and the Analytical Eco-Scale method (AES).
    Results Under the optimized conditions, the limits of detection (LODs) and limits of quantification (LOQs) of the method were 0.0057-1.23 ng/g and 0.019-4.09 ng/g, respectively. The average recoveries of most target compounds were 71.1%-117.9%, with relative standard deviations (RSDs) below 15%. The AGREE index of the method was 0.49, and the AES score was 76. At least one PFC was detected in each of the 132 tea leave samples, and the detection rate of carboxylic acid PFC was higher than that of sulfonic acid PFC. The highest detection rates were observed for PFBA at 97.74%, PFHpA at 93.23%, and PFOA at 92.24%. In contrast, PFHpS, PFUdA, PFDoA, PFHxDA, and PFODA were not detected in the samples.
    Conclusion The proposed method has the advantages of simplicity, rapidity and sensitivity, and is suitable for the analysis of PFCs in tea leaves. The method has high greenness with minimal impact on the operator and the environment. The widespread presence of PFC contamination in tea leaves available in the market warrants strengthened monitoring and regulatory control.

     

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