Bhat Akash P, Pomerantz William C K, Arnold William A
Department of Civil, Environmental, and Geo- Engineering University of Minnesota, 500 Pillsbury Dr. SE, Minneapolis, Minnesota 55455, United States.
Department of Chemistry, University of Minnesota, 207 Pleasant St. SE, Minneapolis, Minnesota 55455, United States.
Environ Sci Technol. 2024 Feb 20;58(7):3437-3448. doi: 10.1021/acs.est.3c09341. Epub 2024 Feb 10.
Fluorinated breakdown products from photolysis of pharmaceuticals and pesticides are of environmental concern due to their potential persistence and toxicity. While mass spectrometry workflows have been shown to be useful in identifying products, they fall short for fluorinated products and may miss up to 90% of products. Studies have shown that F NMR measurements assist in identifying and quantifying reaction products, but this protocol can be further developed by incorporating computations. Density functional theory was used to compute F NMR shifts for parent and product structures in photolysis reactions. Computations predicted NMR spectra of compounds with an R of 0.98. Computed shifts for several isolated product structures from LC-HRMS matched the experimental shifts with <0.7 ppm error. Multiple products including products that share the same shift that were not previously reported were identified and quantified using computational shifts, including aliphatic products in the range of -80 to -88 ppm. Thus, photolysis of fluorinated pharmaceuticals and pesticides can result in compounds that are polyfluorinated alkyl substances (PFAS), including aliphatic-CF or vinyl-CF products derived from heteroaromatic-CF groups. C-F bond-breaking enthalpies and electron densities around the fluorine motifs agreed well with the experimentally observed defluorination of CF groups. Combining experimental-computational F NMR allows quantification of products identified via LC-HRMS without the need for authentic standards. These results have applications for studies of environmental fate and analysis of fluorinated pharmaceuticals and pesticides in development.
药物和农药光解产生的氟化分解产物因其潜在的持久性和毒性而受到环境关注。虽然质谱工作流程已被证明有助于识别产物,但它们在识别含氟产物方面存在不足,可能会遗漏高达90%的产物。研究表明,氟核磁共振测量有助于识别和定量反应产物,但该方法可通过结合计算进一步改进。密度泛函理论用于计算光解反应中母体和产物结构的氟核磁共振化学位移。计算预测化合物的核磁共振光谱的相关系数为0.98。从液相色谱-高分辨质谱中得到的几种分离产物结构的计算化学位移与实验化学位移匹配,误差<0.7 ppm。利用计算化学位移对多种产物进行了鉴定和定量,包括以前未报道过的具有相同化学位移的产物,其中脂肪族产物的化学位移范围为-80至-88 ppm。因此,含氟药物和农药的光解可产生多氟烷基物质(PFAS),包括源自杂芳基-CF基团的脂肪族-CF或乙烯基-CF产物。氟 motif 周围的C-F键断裂焓和电子密度与实验观察到的CF基团脱氟情况吻合良好。结合实验-计算氟核磁共振方法,可以对通过液相色谱-高分辨质谱鉴定的产物进行定量,而无需使用标准品。这些结果可应用于环境归宿研究以及开发中的含氟药物和农药分析。