Profiling organic pollutants in environmental water by dansylation-based non-targeted liquid chromatography-high resolution mass spectrometry analysis

化学 质谱法 色谱法 污染物 仿形(计算机编程) 分辨率(逻辑) 环境分析 环境化学 有机化学 人工智能 计算机科学 操作系统
作者
Бин Чэн,Lirong An,Feng Li,Yanan Tang
出处
期刊:Canadian Journal of Chemistry [NRC Research Press]
卷期号:102 (9): 581-588 被引量:1
标识
DOI:10.1139/cjc-2024-0013
摘要

Monitoring organic pollutants in rainwater is important to understand relations between air pollutants and water safety. Non-targeted liquid chromatography–mass spectrometry (LC–MS) is a powerful tool but because of big differences of pollutants in polarity, ionization efficiency, and low concentrations, it is challenging to detect all pollutants in a single analysis. Chemical derivatization is a widely adapted strategy to fractionate complex samples with enhanced sensitivity and selectivity. Herein, we propose the usage of dansylation as a chemical derivatization method to improve both LC retention and MS ionization of organic pollutants containing amine, hydroxyl, and carboxyl for non-targeted LC–MS analysis. We first evaluated the labeling coverage of dansylation to organic pollutants in water matrix. Using dansyl chloride (DnsCl) and dansyl hydrazine (DnsHz) to label 100 amine- and hydroxyl-containing compounds and 100 carboxyl compounds, respectively, we found DnsCl and DnsHz had over 60% labeling coverage for 8 categories of compounds. Then dansylation was applied to label the rainwater, source water, disinfected rainwater, and drinking water samples. To facilitate the annotation of dansylated compounds, we also established a web-based tool termed DansylFinder. Using DansylFinder, 3889, 5813, 6077, and 4050 tentative annotations were found in rainwater, source water, disinfected rainwater, and drinking water samples by dansylation-based non-targeted LC-HRMS analysis. Four hundred fifty four were persistently detected in all water samples, suggesting significant organic overlaps of the four water samples. In addition, two degradation pathways reported in drinking water disinfection process were also detected in disinfected rainwater, suggesting rainwater is a potential path for air pollutants to infiltrate drinking water system.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
简隋英完成签到,获得积分10
3秒前
王彤彤发布了新的文献求助10
5秒前
xxxx完成签到,获得积分10
5秒前
英俊的铭应助简隋英采纳,获得10
6秒前
Dylan完成签到,获得积分10
7秒前
milly发布了新的文献求助10
7秒前
8秒前
8秒前
8秒前
研友_VZG7GZ应助隐形的秋柔采纳,获得10
8秒前
Yundi关注了科研通微信公众号
10秒前
Jack发布了新的文献求助10
11秒前
ring完成签到,获得积分10
11秒前
11秒前
hyf发布了新的文献求助10
12秒前
lin发布了新的文献求助10
13秒前
科研通AI6应助Fiona采纳,获得10
13秒前
黑崎一护完成签到,获得积分10
14秒前
量子星尘发布了新的文献求助10
16秒前
雨齐完成签到,获得积分10
17秒前
Owen应助tpt采纳,获得10
17秒前
翼德救我i发布了新的文献求助10
17秒前
Crazyhui发布了新的文献求助10
18秒前
18秒前
19秒前
20秒前
20秒前
热带蚂蚁发布了新的文献求助30
21秒前
22秒前
爱笑的绒绒关注了科研通微信公众号
22秒前
susu完成签到,获得积分10
22秒前
Lais给Lais的求助进行了留言
22秒前
VLH完成签到,获得积分10
23秒前
思源应助丹霞采纳,获得10
24秒前
小北发布了新的文献求助10
24秒前
24秒前
浮光掠影发布了新的文献求助10
26秒前
28秒前
28秒前
领导范儿应助xd_c采纳,获得10
29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
Разработка технологических основ обеспечения качества сборки высокоточных узлов газотурбинных двигателей,2000 1000
Vertebrate Palaeontology, 5th Edition 510
ISO/IEC 24760-1:2025 Information security, cybersecurity and privacy protection — A framework for identity management 500
碳捕捉技术能效评价方法 500
Optimization and Learning via Stochastic Gradient Search 500
Nuclear Fuel Behaviour under RIA Conditions 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 物理化学 基因 催化作用 遗传学 冶金 电极 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 4693526
求助须知:如何正确求助?哪些是违规求助? 4064300
关于积分的说明 12566713
捐赠科研通 3762634
什么是DOI,文献DOI怎么找? 2078040
邀请新用户注册赠送积分活动 1106392
科研通“疑难数据库(出版商)”最低求助积分说明 984782