Department of Chemistry, Lash Miller Chemical Labs, University of Toronto, 80 St. George Street, Toronto, Ontario M5S 3H6, Canada.
Anal Chem. 2022 Feb 22;94(7):3278-3286. doi: 10.1021/acs.analchem.1c05107. Epub 2022 Feb 11.
Per- and polyfluorinated alkyl substances (PFAS) are ubiquitous throughout the environment. Analysis of PFAS is commonly performed using both targeted and nontargeted mass spectrometry methods. However, it has been demonstrated that measurements of fluorinated compounds in the environment by mass spectrometry often fall short of the total fluorine concentration. In the present study, we employ a F NMR technique, which is capable of detailing fluorinated compounds in a sample while providing both quantitative and structural information. Inclusion of a noise-reduction strategy involving the acquisition of arrays of spectra with an increasing number of transients addresses the sensitivity challenges of environmental nuclear magnetic resonance (NMR), improving signal to noise. When this technique is applied to environmental and biological samples including rainwater, lake water, wastewater effluent, serum, and urine, the presence of PFAS, which may have been missed by routine mass spectrometric methods, is revealed. Important resonances in the F NMR spectrum such as that of trifluoroacetic acid are brought above the limit of quantification in all samples, allowing detection limits as low as 389 pg/L in rainwater. A liquid chromatography-tandem mass spectrometry (LC-MS/MS) method, which was used to analyze 47 PFAS compounds, accounts for only 3.7-27% of the total fluorine concentration as determined by the NMR strategy in the present study.
全氟和多氟烷基物质(PFAS)在环境中无处不在。PFAS 的分析通常采用靶向和非靶向质谱方法进行。然而,已经证明,质谱法测量环境中的氟化化合物往往低于总氟浓度。在本研究中,我们采用了 F NMR 技术,该技术能够详细描述样品中的氟化化合物,同时提供定量和结构信息。包括采用增加瞬变次数的谱图采集的降噪策略,可以解决环境核磁共振(NMR)的灵敏度挑战,提高信号与噪声比。当将该技术应用于包括雨水、湖水、废水、血清和尿液在内的环境和生物样本时,揭示了可能被常规质谱方法遗漏的 PFAS 的存在。F NMR 谱中的重要共振峰,如三氟乙酸的共振峰,在所有样品中都被提高到定量限以上,在雨水中的检测限低至 389 pg/L。本研究中采用的液相色谱-串联质谱(LC-MS/MS)方法仅能解释 NMR 策略确定的总氟浓度的 3.7-27%,而该策略可以解释 47 种 PFAS 化合物。