A targeted and non-targeted discovery screening approach for poly-and per-fluoroalkyl substances in model environmental biota samples

化学 色谱法 质谱法 轨道轨道 甲酸 三级四极质谱仪 环境化学 选择性反应监测 串联质谱法
作者
Shaogang Chu,Robert J. Letcher
出处
期刊:Journal of Chromatography A [Elsevier BV]
卷期号:1715: 464584-464584 被引量:26
标识
DOI:10.1016/j.chroma.2023.464584
摘要

A comprehensive analytical approach for targeted and non-targeted discovery screening of per- and polyfluoroalkyl substances (PFAS) was developed and applied to model complex environmental biotic samples. Samples were extracted by formic acid-acetonitrile solution and cleaned up and fractionated by SPE (WAX). Target PFAS quantification was performed by ultra-high performance liquid chromatography interfaced with a triple quadrupole mass spectrometer (UPLC-QqQ-MS/MS). Non-targeted analysis (NTA) PFAS screening was performed with UPLC coupled with a quadrupole-Exactive orbitrap high resolution mass spectrometer (UPLC-Q-Exactive-HRMS). An iterative exclusion (IE) approach was applied to data acquisition for NTA suspect screening to increase the potential for unknown PFAS discovery with MS/MS. A complex workflow in Compound Discoverer was set up to automate data processing of the PFAS suspects search. New mass lists and MS/MS databases, which included a large number of PFAS, were set up and introduced into the search for high-throughput structure identification using HRMS techniques. The integrated targeted-NTA method successfully analyzed for legacy and alternative PFAS in model environmental biota samples, namely polar bear liver and bird egg samples. Targeted analysis provided unequivocal identification of well known/established PFAS (mainly perfluoroalkyl acids) with quantification at very low levels. The NTA suspect screening was able to determine a broader range of PFAS. The data analysis method offered high-confidence annotations for PFAS despite lacking available authentic standards. Overall, the analytical coverage of PFAS was greater and elucidated other PFAS present in these model apex predators.
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
隐形曼青应助312采纳,获得10
刚刚
刚刚
深情安青应助hin采纳,获得10
1秒前
1秒前
2秒前
SG完成签到,获得积分10
2秒前
2秒前
SPQR发布了新的文献求助10
2秒前
fantexi113完成签到,获得积分0
2秒前
SciGPT应助jun采纳,获得10
3秒前
zzz发布了新的文献求助10
3秒前
3秒前
顾矜应助墨菲采纳,获得10
3秒前
乐乐应助xiaoxiong采纳,获得10
3秒前
华仔应助Achhz采纳,获得10
3秒前
223114完成签到,获得积分10
5秒前
Dai发布了新的文献求助10
5秒前
yyy发布了新的文献求助10
5秒前
Hedgehog完成签到,获得积分10
5秒前
chen发布了新的文献求助10
5秒前
科研通AI6.4应助WWK13采纳,获得10
5秒前
核桃发布了新的文献求助10
5秒前
auggy发布了新的文献求助10
5秒前
现代的芹发布了新的文献求助10
6秒前
受伤白猫发布了新的文献求助10
8秒前
bingbing完成签到,获得积分10
10秒前
Liu完成签到,获得积分10
10秒前
10秒前
tao完成签到,获得积分10
10秒前
10秒前
顺利纸飞机完成签到 ,获得积分10
11秒前
LMH发布了新的文献求助10
11秒前
11秒前
13秒前
单纯的山河完成签到,获得积分10
13秒前
dwy发布了新的文献求助10
13秒前
14秒前
14秒前
翁sir完成签到,获得积分10
14秒前
14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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7622429
求助须知:如何正确求助?哪些是违规求助? 9197715
关于积分的说明 19716014
捐赠科研通 7193859
什么是DOI,文献DOI怎么找? 3272980
关于科研通互助平台的介绍 2435361
邀请新用户注册赠送积分活动 2268358