Rapid detection and speciation of illicit drugs via a thin-film microextraction approach for wastewater-based epidemiology study

色谱法 检出限 废水 化学 样品制备 气相色谱-质谱法 甲喹酮 环境化学 质谱法 环境科学 环境工程
作者
Xinlv Chen,Shuqin Liu,Ruifen Jiang,Xingqiang Lü,Gangfeng Ouyang
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:842: 156888-156888 被引量:17
标识
DOI:10.1016/j.scitotenv.2022.156888
摘要

High detection frequency of illicit drugs in water samples urges the development of rapid detection method for wastewater-based epidemiology (WBE) study. Here, we first developed a fast, convenient, and cost-effective method by combining thin-film microextraction (TFME) with gas chromatography-mass spectrometry (GC-MS) for sensing illicit drugs in wastewater sample. A divinylbenzene particle-loaded membrane was prepared by dip coating on a copper mesh. The sampling conditions of three illicit drugs were optimized and the performance of the proposed method was evaluated. The limit of detection was 5.5 2.0, and 1.1 ng L-1 for methamphetamine (MAMP), ketamine (KET), and methaqualone (MEQA), respectively, with acceptable precision (< 6.1 % for membrane to membrane reproducibility) and recovery from influent water (95 % - 111 %). Then, the proposed method was applied to study the occurrence and distribution of the target compounds in a wastewater treatment plant. The presence of methamphetamine, ketamine, and methaqualone was confirmed and their concentrations in the influent sample were 57 ± 8, 40 ± 4, and 75 ± 2 ng L-1, respectively. The speciation of the target compounds in different ponds was also investigated. Results showed that the content of organic matter and the pH of the sample significantly affected the binding state of the compounds. This work provides an efficient and accurate analytical protocol for WBE investigation of illicit drugs.
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
自信不言发布了新的文献求助10
刚刚
1078完成签到,获得积分10
4秒前
机智珍关注了科研通微信公众号
4秒前
aslink完成签到,获得积分10
6秒前
扑火飞蛾完成签到,获得积分10
7秒前
7秒前
英姑应助自信不言采纳,获得10
9秒前
10秒前
Lucas应助清如采纳,获得10
11秒前
含糊的猪头肉完成签到,获得积分10
15秒前
hhhhxxxx完成签到,获得积分10
15秒前
16秒前
Aimee完成签到 ,获得积分10
17秒前
whisky完成签到,获得积分10
18秒前
18秒前
朴素的不乐完成签到 ,获得积分10
21秒前
老白完成签到,获得积分10
21秒前
科研通AI6.3应助whisky采纳,获得10
21秒前
错觉发布了新的文献求助10
22秒前
研研研完成签到,获得积分10
25秒前
xiong完成签到,获得积分10
26秒前
mrlow完成签到,获得积分10
28秒前
暮商完成签到 ,获得积分10
36秒前
38秒前
38秒前
今后应助科研通管家采纳,获得10
38秒前
大个应助科研通管家采纳,获得30
38秒前
我爱学习应助科研通管家采纳,获得10
38秒前
38秒前
田様应助科研通管家采纳,获得10
38秒前
38秒前
情怀应助科研通管家采纳,获得10
38秒前
WZ完成签到 ,获得积分10
38秒前
情怀应助科研通管家采纳,获得10
38秒前
38秒前
酷波er应助科研通管家采纳,获得10
38秒前
二十六画生完成签到,获得积分10
38秒前
酷波er应助科研通管家采纳,获得10
39秒前
39秒前
39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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Adverse weather effects on bus ridership 500
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
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 6350798
求助须知:如何正确求助?哪些是违规求助? 8165378
关于积分的说明 17182472
捐赠科研通 5406928
什么是DOI,文献DOI怎么找? 2862733
邀请新用户注册赠送积分活动 1840338
关于科研通互助平台的介绍 1689475