Preparation of two-dimensional magnetic molecularly imprinted polymers based on boron nitride and a deep eutectic solvent for the selective recognition of flavonoids

深共晶溶剂 氮化硼 分子印迹聚合物 聚合物 化学 溶剂 共晶体系 印记(心理学) 分子印迹 化学工程 材料科学 纳米技术 有机化学 选择性 催化作用 合金 生物化学 工程类 基因
作者
Xiaoxia Li,Yunliang Dai,Kyung Ho Row
出处
期刊:Analyst [Royal Society of Chemistry]
卷期号:144 (5): 1777-1788 被引量:45
标识
DOI:10.1039/c8an02258e
摘要

New types of two-dimensional (2D) boron nitride (BN) were developed as a 2D scaffold material. After modification with ternary deep eutectic solvents (DES, ChCl-caffeic acid-ethylene glycol), the processed BN was applied to the preparation of magnetic molecularly imprinted polymers (MMIPs). In the polymerization of MMIPs, DESs and hydrophobic Fe3O4 magnetite were applied as the functional monomer and magnetically susceptible component, respectively. A 2D ellipsoid material was formed successfully by polymerization on the surface of the processed BN. The proposed 2D-MMIPs were characterized by Fourier transform infrared spectroscopy, thermogravimetric analysis, scanning electron microscopy, and nitrogen sorption analysis techniques. The surface area of the 2D-MMIPs was increased using eco-friendly chemicals. The proposed 2D-MMIPs had a 2D oblate structure and a large surface area. The 2D-MMIPs were used for the preconcentration of flavonoids from Ginkgo biloba leaf extracts. High performance liquid chromatography-ultraviolet analysis revealed that the 2D-MMIPs have higher recoveries for the flavonoids (quercetin 96.8%, isorhamnetin 93.6% and kaempferol 94.8%) in Ginkgo biloba leaves than common MMIPs.
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
刚刚
2秒前
2秒前
3秒前
天涯完成签到,获得积分10
4秒前
4秒前
seven关注了科研通微信公众号
4秒前
6秒前
ding应助巴拉巴拉采纳,获得10
6秒前
杨旸发布了新的文献求助10
6秒前
石一完成签到,获得积分10
7秒前
酷波er应助姜伟采纳,获得10
8秒前
8秒前
ls完成签到,获得积分10
8秒前
球球w发布了新的文献求助30
9秒前
小熊发布了新的文献求助10
10秒前
Eurus发布了新的文献求助30
10秒前
jerry完成签到,获得积分10
12秒前
朝朝完成签到,获得积分10
14秒前
15秒前
16秒前
nenoaowu发布了新的文献求助30
16秒前
王翎力完成签到,获得积分10
17秒前
77关注了科研通微信公众号
17秒前
Xuan_Y完成签到,获得积分10
17秒前
巅峰囚冰完成签到,获得积分10
18秒前
18秒前
18秒前
19秒前
祁依欧欧完成签到,获得积分10
19秒前
20秒前
吃老鼠的鱼完成签到,获得积分10
24秒前
XXXXX完成签到 ,获得积分10
24秒前
zasideler完成签到,获得积分10
25秒前
bob发布了新的文献求助10
25秒前
球球w完成签到,获得积分10
26秒前
Himanny发布了新的文献求助30
28秒前
大卷应助rgu采纳,获得10
28秒前
烟花应助mmw采纳,获得10
29秒前
给好评发布了新的文献求助20
30秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Handbook of Innovations in Political Psychology 400
Mapping the Stars: Celebrity, Metonymy, and the Networked Politics of Identity 400
Visceral obesity is associated with clinical and inflammatory features of asthma: A prospective cohort study 300
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Engineering the boosting of the magnetic Purcell factor with a composite structure based on nanodisk and ring resonators 240
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 3838514
求助须知:如何正确求助?哪些是违规求助? 3380889
关于积分的说明 10516101
捐赠科研通 3100459
什么是DOI,文献DOI怎么找? 1707506
邀请新用户注册赠送积分活动 821794
科研通“疑难数据库(出版商)”最低求助积分说明 772947