Ketoenamine Covalent Organic Framework Coating for Efficient Solid-Phase Microextraction of Trace Organochlorine Pesticides

固相微萃取 涂层 检出限 萃取(化学) 化学 吸附 纤维 色谱法 线性范围 自来水 选择性 气相色谱-质谱法 质谱法 有机化学 环境工程 工程类 催化作用
作者
Junhong Xin,Guiju Xu,Yiran Zhou,Xia Wang,Minglin Wang,Yujing Lian,Ru‐Song Zhao
出处
期刊:Journal of Agricultural and Food Chemistry [American Chemical Society]
卷期号:69 (28): 8008-8016 被引量:50
标识
DOI:10.1021/acs.jafc.1c02895
摘要

Fiber coating is a key part of solid-phase microextraction (SPME) technology, and it determines the selectivity, sensitivity, and reproducibility of the analytical method. A ketoenamine covalent organic framework called Tp–Azo–COF with rich electronegative N atoms was prepared as an SPME coating in this work. The Tp–Azo–COF coating had a large surface area of 1218 m2 g–1 and good thermal and chemical stability, and it was applied for the extraction of organochlorine pesticides (OCPs). According to quantum chemistry calculations, the adsorption affinity of the Tp–Azo–COF coating for five OCPs was primarily affected by the halogen bond and hydrophobicity interaction. The extraction efficiencies of the Tp–Azo–COF coating for five OCPs were higher than those of three commercial SPME fiber coatings, and the enrichment factors ranged from 1061 to 3693. When combined with gas chromatography–tandem mass spectrometry, a wide linear range (0.1–1000 ng L–1), low limits of detection (0.002–0.08 ng L–1), and good fiber-to-fiber accuracy (4.3–10.9%) were achieved under optimal conditions. Moreover, the applicability of the developed method was evaluated by analyzing four samples (milk, green tea, tap water, and well water), and the recoveries were in the range of 83.4–101.6%, with relative standard deviations <8.6%. This research extends the application of the stabilized ketoenamine COF as a sample enrichment probe for OCP analysis.
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
Shan发布了新的文献求助10
刚刚
刚刚
Elaine完成签到,获得积分10
1秒前
TheDay完成签到,获得积分10
1秒前
彼岸ing完成签到,获得积分20
1秒前
sanwan发布了新的文献求助10
1秒前
loki完成签到,获得积分10
2秒前
月亮门儿完成签到 ,获得积分10
2秒前
2秒前
得一完成签到,获得积分10
2秒前
而发的完成签到,获得积分10
2秒前
3秒前
鸣笛应助ll采纳,获得10
3秒前
研友_祝鬼神完成签到,获得积分10
3秒前
SYLH应助youyuguang采纳,获得10
3秒前
3秒前
4秒前
深情安青应助小水采纳,获得10
4秒前
糖味儿发布了新的文献求助10
4秒前
4秒前
nuo发布了新的文献求助10
4秒前
赘婿应助linmo采纳,获得10
4秒前
4秒前
小叙发布了新的文献求助10
5秒前
5秒前
凌寻冬发布了新的文献求助10
6秒前
A_child完成签到,获得积分10
6秒前
6秒前
xinyang2448完成签到,获得积分10
6秒前
7秒前
安静马里奥完成签到,获得积分10
7秒前
维特完成签到,获得积分10
7秒前
8秒前
8秒前
暗夜星辰发布了新的文献求助10
8秒前
Gray应助文艺的白开水采纳,获得50
8秒前
向会妍完成签到,获得积分10
8秒前
9秒前
A_child发布了新的文献求助10
9秒前
魚子发布了新的文献求助50
10秒前
高分求助中
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 2500
Future Approaches to Electrochemical Sensing of Neurotransmitters 1000
生物降解型栓塞微球市场(按产品类型、应用和最终用户)- 2030 年全球预测 1000
壮语核心名词的语言地图及解释 900
盐环境来源微生物多相分类及嗜盐古菌基因 组适应性与演化研究 500
A First Course in Bayesian Statistical Methods 400
American Historical Review - Volume 130, Issue 2, June 2025 (Full Issue) 400
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3912527
求助须知:如何正确求助?哪些是违规求助? 3457737
关于积分的说明 10897319
捐赠科研通 3184017
什么是DOI,文献DOI怎么找? 1760006
邀请新用户注册赠送积分活动 851258
科研通“疑难数据库(出版商)”最低求助积分说明 792586