A Simple and Sensitive Method for Simultaneous Analysis of 58 Neutral and Ionic PFAS Using UPLC-MS/MS

色谱法 化学 检出限 萃取(化学) 质谱法 串联质谱法 高效液相色谱法
作者
Wenlong Li,Kurunthachalam Kannan
出处
期刊:Environmental Science and Technology Letters [American Chemical Society]
卷期号:11 (4): 308-314 被引量:4
标识
DOI:10.1021/acs.estlett.4c00146
摘要

Analysis of neutral and ionic per- and polyfluoroalkyl substances (PFAS) required two discrete techniques- with methods based on gas chromatography–mass spectrometry (GC-MS) for the former and ultrahigh performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) for the latter. In this study, we developed a method for simultaneous analysis of 58 neutral and ionic PFAS in environmental samples, obviating the need for distinct extraction and instrumental methods. The UPLC-MS/MS method was optimized and validated for sensitivity, selectivity, linearity, precision, and accuracy. The instrumental detection limits for fluorotelomer alcohols (FTOHs) ranged from 0.08 to 0.50 pg on the column. Select environmental samples, including food packaging, indoor dust, roadside soil, polyurethane foam, carpet, and consumer products, were analyzed. The highest concentrations of polyfluoroalkyl phosphates (Σ6PAPs, 650 ± 910 ng/g) and fluorotelomer sulfonates (Σ4FTSs, 36 ± 51 ng/g) were found in indoor dust, whereas Σ5FTOHs (81 ± 69 ng/g) were found in carpet. Emerging PFAS, including F-53B, ADONA, and Gen-X, were found at sub ng/g concentrations. Hydrogen-substituted polyfluorocarboxylates (H-PFCAs), such as 7H-PFHpA, were found at concentrations of up to 4 ng/g in indoor dust. This method can expedite the analysis of neutral PFAS precursors, including FTOHs, PAPs, and FTSs along with legacy iPFAS in environmental samples.
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
奋斗的夏柳完成签到 ,获得积分10
1秒前
小猫咪发布了新的文献求助200
1秒前
sunyexuan发布了新的文献求助10
1秒前
鲸鱼姐姐完成签到 ,获得积分10
2秒前
2秒前
alho完成签到 ,获得积分10
2秒前
仄兀发布了新的文献求助10
2秒前
2秒前
Rrrr完成签到,获得积分10
3秒前
3秒前
Tan完成签到 ,获得积分10
3秒前
晚风完成签到,获得积分20
4秒前
4秒前
情怀应助平淡的蜻蜓采纳,获得10
4秒前
复杂觅海完成签到 ,获得积分10
4秒前
JUSTs0so发布了新的文献求助10
5秒前
6秒前
6秒前
毛慢慢发布了新的文献求助30
6秒前
123完成签到,获得积分10
6秒前
DTT完成签到,获得积分10
7秒前
SciGPT应助单薄白薇采纳,获得10
7秒前
jiayueiyang完成签到,获得积分10
7秒前
英俊的铭应助dingdong采纳,获得10
8秒前
情怀应助dingdong采纳,获得10
8秒前
8秒前
安静发布了新的文献求助10
9秒前
丰知然应助清新的冷松采纳,获得10
9秒前
我是老大应助时尚语梦采纳,获得10
10秒前
10秒前
小余发布了新的文献求助10
10秒前
NexusExplorer应助见雨鱼采纳,获得10
10秒前
yigu完成签到 ,获得积分20
10秒前
ding应助starcatcher采纳,获得10
11秒前
Ll发布了新的文献求助10
11秒前
赘婿应助最最最采纳,获得10
11秒前
田様应助夜白采纳,获得20
12秒前
AaronW完成签到,获得积分10
12秒前
英俊的铭应助科研通管家采纳,获得10
12秒前
大模型应助科研通管家采纳,获得10
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527742
求助须知:如何正确求助?哪些是违规求助? 3107867
关于积分的说明 9286956
捐赠科研通 2805612
什么是DOI,文献DOI怎么找? 1540026
邀请新用户注册赠送积分活动 716884
科研通“疑难数据库(出版商)”最低求助积分说明 709762