Noise-Reduced Quantitative Fluorine NMR Spectroscopy Reveals the Presence of Additional Per- and Polyfluorinated Alkyl Substances in Environmental and Biological Samples When Compared with Routine Mass Spectrometry Methods

化学 质谱法 烷基 核磁共振波谱 分析化学(期刊) 光谱学 色谱法 有机化学 物理 量子力学
作者
Jeremy R. Gauthier,Scott A. Mabury
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:94 (7): 3278-3286 被引量:27
标识
DOI:10.1021/acs.analchem.1c05107
摘要

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 19F 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 19F 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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
zlt完成签到,获得积分10
刚刚
刚刚
1秒前
1秒前
3秒前
XIO发布了新的文献求助10
4秒前
大个应助ly采纳,获得30
5秒前
flyta发布了新的文献求助10
5秒前
Clara完成签到,获得积分10
6秒前
6秒前
7秒前
喵喵完成签到,获得积分10
7秒前
湘雅小卷子完成签到,获得积分10
7秒前
Kyyy完成签到,获得积分20
8秒前
zeoou发布了新的文献求助10
8秒前
Flora发布了新的文献求助30
9秒前
9秒前
打打应助刘明坤采纳,获得10
9秒前
邓焕然完成签到,获得积分10
9秒前
mmr发布了新的文献求助10
10秒前
桐桐应助jjj采纳,获得10
11秒前
11秒前
11秒前
踏实的往事完成签到,获得积分10
11秒前
研友_VZG7GZ应助王哪逃采纳,获得10
11秒前
CodeCraft应助紫愿采纳,获得10
11秒前
沐雨完成签到 ,获得积分10
12秒前
Kyyy发布了新的文献求助10
12秒前
somnus_fu完成签到,获得积分20
12秒前
13秒前
sdjtxdy完成签到,获得积分10
14秒前
manru完成签到,获得积分10
14秒前
咪嘛捏哞发布了新的文献求助10
15秒前
15秒前
16秒前
幽默白亦发布了新的文献求助10
16秒前
靖宇完成签到,获得积分10
16秒前
大胆绿柳完成签到,获得积分10
17秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Leading Academic-Practice Partnerships in Nursing and Healthcare: A Paradigm for Change 800
Signals, Systems, and Signal Processing 610
Research Methods for Business: A Skill Building Approach, 9th Edition 500
Research Methods for Applied Linguistics 500
Picture Books with Same-sex Parented Families Unintentional Censorship 444
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6412196
求助须知:如何正确求助?哪些是违规求助? 8231302
关于积分的说明 17469873
捐赠科研通 5465024
什么是DOI,文献DOI怎么找? 2887514
邀请新用户注册赠送积分活动 1864253
关于科研通互助平台的介绍 1702915