The covalent organic framework based nylon membrane extraction coupled with UHPLC-MS/MS for highly efficiency determination of hexabromocyclododecanes in environmental water

共价有机骨架 萃取(化学) 吸附 化学 自来水 共价键 色谱法 水处理 有机化学 环境工程 环境科学 生物化学
作者
Jiawen Cheng,Jiping Ma,Shuang Li,Qiaoning Wang,Min Lv,Jinhua Li,Xiaoyan Wang,Hongdan Wang,Lingxin Chen
出处
期刊:Journal of Hazardous Materials [Elsevier]
卷期号:451: 131191-131191 被引量:13
标识
DOI:10.1016/j.jhazmat.2023.131191
摘要

Hexabromocyclododecanes (HBCDs) have given their adverse effects on environment and human health, and highly sensitive analysis of HBCDs in water is urgent. In this study, a new method for the determination of trace HBCDs in water was established by covalent organic framework (COF) based nylon membrane extraction (ME) coupled with ultrahigh-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS). The COF had been self-assembled onto the nylon membrane in a gentle strategy to fabricate COF nylon membrane. Several important ME parameters including the dosage of COF, pH, eluent condition and salinity were systematically investigated. The limits of detection and quantification were 0.011-0.014 and 0.038-0.047 ng/L for three HBCDs, respectively. The linear ranges were from 0.04 to 20 ng/L, and the relative standard deviations were 5.7-17.8 % (intra-day) and 5.2-14.1 % (inter-day). In addition, density functional theory (DFT) calculations on adsorption energy proved that the introduction of halogen bond (XB) made a key contribution to high extraction efficiency and excellent selectivity of COF nylon membrane for HBCDs. The 500 mL of samples, including tap water and reservoir water, could be extracted only in 23 min. The established method presented highly sensitive for ultra-trace analysis of HBCDs in environmental water.

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
ck应助闲之野鹤采纳,获得10
刚刚
无名花香完成签到,获得积分10
1秒前
qqq完成签到,获得积分10
2秒前
喵姐完成签到,获得积分10
2秒前
3秒前
3秒前
思源应助天真谷雪采纳,获得30
4秒前
科研通AI6.1应助固态采纳,获得10
6秒前
黎敏发布了新的文献求助10
6秒前
6秒前
几携完成签到 ,获得积分10
6秒前
7秒前
7秒前
7秒前
7秒前
8秒前
maozhu发布了新的文献求助10
8秒前
精明冰蓝发布了新的文献求助10
8秒前
在水一方应助wuliwang采纳,获得10
8秒前
任性翩跹应助semigreen采纳,获得10
8秒前
9秒前
9秒前
10秒前
脑洞疼应助wenbo采纳,获得10
10秒前
hgzz发布了新的文献求助10
11秒前
Y_Y发布了新的文献求助10
11秒前
noon发布了新的文献求助10
11秒前
雪汇奶砖完成签到,获得积分20
11秒前
一指墨发布了新的文献求助10
12秒前
顾矜应助柠檬味电子对儿采纳,获得10
12秒前
13秒前
kevin_l发布了新的文献求助10
13秒前
14秒前
爆米花应助xinyu采纳,获得10
14秒前
英姑应助333采纳,获得10
15秒前
利利发布了新的文献求助10
15秒前
华仔应助方方方方方采纳,获得10
15秒前
追寻紫夏发布了新的文献求助10
15秒前
16秒前
zxxx发布了新的文献求助10
16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
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 2000
Standard: In-Space Storable Fluid Transfer for Prepared Spacecraft (AIAA S-157-2024) 1000
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5948711
求助须知:如何正确求助?哪些是违规求助? 7117387
关于积分的说明 15912863
捐赠科研通 5081641
什么是DOI,文献DOI怎么找? 2732148
邀请新用户注册赠送积分活动 1692542
关于科研通互助平台的介绍 1615435