A SPE-HPLC-MS/MS method for the simultaneous determination of prioritised pharmaceuticals and EDCs with high environmental risk potential in freshwater

色谱法 分析物 化学 萃取(化学) 固相萃取 废水 环境科学 环境化学 环境工程
作者
Yuan Li,Mark A. Taggart,Craig McKenzie,Zulin Zhang,Yonglong Lü,Sabolč Pap,Stuart W. Gibb
出处
期刊:Journal of Environmental Sciences-china [Elsevier]
卷期号:100: 18-27 被引量:34
标识
DOI:10.1016/j.jes.2020.07.013
摘要

This work describes the development, optimisation and validation of an analytical method for the rapid determination of 17 priority pharmaceutical compounds and endocrine disrupting chemicals (EDCs). Rather than studying compounds from the same therapeutic class, the analyses aimed to determine target compounds with the highest risk potential (with particular regard to Scotland), providing a tool for further monitoring in different water matrices. Prioritisation was based on a systematic environmental risk assessment approach, using consumption data; wastewater treatment removal efficiency; environmental occurrence; toxicological effects; and pre-existing regulatory indicators. This process highlighted 17 compounds across various therapeutic classes, which were then quantified, at environmentally relevant concentrations, by a single analytical methodology. Analytical determination was achieved using a single-step solid phase extraction (SPE) procedure followed by high-performance liquid chromatography with tandem mass spectrometry (HPLC-MS/MS). The fully optimised method performed well for the majority of target compounds, with recoveries >71% for 15 of 17 analytes. The limits of quantification for most target analytes (14 of 17) ranged from 0.07 ng/L to 1.88 ng/L in river waters. The utility of this method was then demonstrated using real water samples associated with a rural hospital/setting. Eight compounds were targeted and detected, with the highest levels found for the analgesic, paracetamol (at up to 105,910 ng/L in the hospital discharge). This method offers a robust tool to monitor high priority pharmaceutical and EDC levels in various aqueous sample matrices.

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
孔旭发布了新的文献求助10
1秒前
1秒前
杜俊发布了新的文献求助20
2秒前
3秒前
4秒前
尊敬的半梅完成签到,获得积分10
5秒前
6秒前
LBQ发布了新的文献求助10
7秒前
Sept6发布了新的文献求助10
8秒前
大个应助jzy采纳,获得10
9秒前
斯文败类应助WN采纳,获得10
11秒前
elf发布了新的文献求助10
11秒前
小敏爱吃鱼完成签到,获得积分10
11秒前
11秒前
12秒前
我是老大应助hh采纳,获得10
13秒前
14秒前
里奥发布了新的文献求助10
14秒前
JRRskynet完成签到,获得积分10
16秒前
16秒前
17秒前
小二郎应助shihun采纳,获得10
17秒前
风清扬发布了新的文献求助30
18秒前
隐形曼青应助杜俊采纳,获得20
19秒前
Jasper应助突突突采纳,获得10
20秒前
20秒前
zhaoying完成签到,获得积分10
21秒前
近代发布了新的文献求助10
22秒前
酷波er应助有趣的桃采纳,获得10
22秒前
烟花应助彩色傲菡采纳,获得10
23秒前
23秒前
科研通AI6.2应助李麟采纳,获得10
23秒前
hh完成签到,获得积分10
23秒前
唯为完成签到,获得积分10
24秒前
蒋欣欣完成签到,获得积分10
24秒前
Hello应助虚心的代丝采纳,获得30
24秒前
24秒前
謃河鷺起完成签到,获得积分10
26秒前
奋斗奋斗再奋斗完成签到,获得积分10
26秒前
27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
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Social Cognition: Understanding People and Events 800
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6025410
求助须知:如何正确求助?哪些是违规求助? 7662675
关于积分的说明 16179208
捐赠科研通 5173549
什么是DOI,文献DOI怎么找? 2768262
邀请新用户注册赠送积分活动 1751639
关于科研通互助平台的介绍 1637724