已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Estimation of the psychoactive substances consumption within 12 wastewater treatment plants service areas in a certain city of Guangxi, China applying wastewater-based epidemiology

MDMA公司 精神活性物质 废水 甲基苯丙胺 环境卫生 环境科学 毒理 药理学 医学 环境工程 生物 精神科
作者
Hangbiao Jin,Dan Yang,Hao Yun-bin,Jinyang Zhang,Pengfei Wu,Weiping Liu,Meirong Zhao
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:778: 146370-146370 被引量:24
标识
DOI:10.1016/j.scitotenv.2021.146370
摘要

The abuse of psychoactive substances has been increasing dramatically over the last few years, which is becoming a concern for human health and social stability. How to accurately estimate psychoactive substances' total consumption in certain areas is the key to manage such substances. In order to control psychoactive substances, 8 psychoactive substances' consumption within 12 wastewater treatment plants (WWTPs) service areas in a certain city of Guangxi, China was investigated in 2019. Firstly, a solid-phase extraction-liquid chromatography-tandem mass spectrometry method was used to determine the influent concentrations. Morphine (MOR), 3, 4-methylenedioxymethamphetamine (MDMA), methamphetamine (METH), ketamine (KET), and norketamine (NK) were detected, with the concentrations ranging from less than method detection limit (NK, MDMA) to 170.91 (METH) ng/L. Then, the back-estimation of consumption was conducted according to the objective and near real-time wastewater-based epidemiology (WBE). The results demonstrate that KET, MOR, and METH are the most abused psychoactive substances, with the mean consumption of 682.42, 167.81, and 44.56 mg/day/1000 inh, respectively. The psychoactive substance residues of WWTPs influent were analyzed to estimate such substances' consumption in specific areas, so as to provide support for risk prevention and control.

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
1秒前
酸菜鱼发布了新的文献求助30
2秒前
4秒前
Tom完成签到 ,获得积分10
6秒前
6秒前
fang发布了新的文献求助10
7秒前
852应助研友_nqa7On采纳,获得10
7秒前
张宏磊发布了新的文献求助10
8秒前
9秒前
Quuuackk完成签到,获得积分10
9秒前
冷HorToo完成签到 ,获得积分10
11秒前
12秒前
吞吞完成签到 ,获得积分10
17秒前
weirdo发布了新的文献求助10
17秒前
发呆的小号完成签到 ,获得积分10
21秒前
伍声痕完成签到,获得积分10
21秒前
21秒前
吖咪h完成签到 ,获得积分10
22秒前
张宏磊完成签到,获得积分10
22秒前
英姑应助科研通管家采纳,获得10
23秒前
大模型应助科研通管家采纳,获得10
23秒前
ding应助科研通管家采纳,获得10
23秒前
研友_VZG7GZ应助科研通管家采纳,获得10
23秒前
英姑应助科研通管家采纳,获得10
23秒前
嘉心糖应助科研通管家采纳,获得30
23秒前
hahaha完成签到 ,获得积分10
24秒前
勤奋完成签到 ,获得积分10
24秒前
科研通AI6.2应助fang采纳,获得10
24秒前
weirdo完成签到,获得积分10
26秒前
锅包肉完成签到,获得积分10
26秒前
27秒前
华仔应助momojee采纳,获得10
27秒前
L8完成签到,获得积分10
29秒前
999完成签到,获得积分10
29秒前
砖家剋星完成签到 ,获得积分10
30秒前
30秒前
疯狂的半山完成签到,获得积分10
32秒前
NCC发布了新的文献求助30
34秒前
ZeKaWa应助温暖小霸王采纳,获得10
38秒前
科研启动完成签到,获得积分10
38秒前
高分求助中
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 6495054
求助须知:如何正确求助?哪些是违规求助? 8291966
关于积分的说明 17694375
捐赠科研通 5588405
什么是DOI,文献DOI怎么找? 2916410
邀请新用户注册赠送积分活动 1893297
关于科研通互助平台的介绍 1752303