One-step synthesis of well-defined molecularly imprinted nanospheres for the class-selective recognition and separation of β-blockers in human serum

化学 分子印迹聚合物 沉淀聚合 木筏 生物分析 色谱法 选择性 分子识别 吸附 组合化学 分子印迹 聚合 聚合物 有机化学 分子 自由基聚合 催化作用
作者
Huiqing Hou,Yulong Jin,Le Sheng,Yanyan Huang,Rui Zhao
出处
期刊:Journal of Chromatography A [Elsevier BV]
卷期号:1673: 463204-463204 被引量:10
标识
DOI:10.1016/j.chroma.2022.463204
摘要

β-blockers are a class of medications that are used to treat abnormal heart rhythms and hypertension. Molecularly imprinted polymers (MIPs) capable of selective recognizing and extracting β-blockers from complex biological samples hold great promise in bioanalytical and biomedical applications, but developing such artificial receptor materials is still challenging. Herein, we introduce a simple one-step method for the synthesis of well-defined molecularly imprinted nanospheres in high yield (83.6-94.4%) via reversible addition-fragmentation chain transfer (RAFT) precipitation polymerization for the selective recognition and extraction of the β-blockers from human serum. The prepared MIPs are characterized in terms of morphology, pore properties, binding kinetics, capacity, selectivity, and recognition mechanisms. The uniform nanoscale-imprinted layer favored the rapid mass transfer of β-blockers. The binding studies showed the high adsorption capacity (126.8 μmol/g) and selectivity of the developed nanomaterial. The investigation on the recognition mechanism reveals that multiple driving forces participate in the binding between MIP and β-blockers, where hydrogen bonding plays as the dominating role for the specific recognition. The MIP was successfully applied for the direct enrichment of five β-blockers from human serum with HPLC recoveries ranging from 82.9 to 100.3% and RSD of 0.5-6.9% (n = 3).
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
大个应助想好好搞事业采纳,获得10
3秒前
Echo完成签到,获得积分10
3秒前
4秒前
zyj发布了新的文献求助10
4秒前
超级的一斩完成签到 ,获得积分10
5秒前
lin发布了新的文献求助10
5秒前
还单身的香之完成签到,获得积分10
5秒前
852应助冰阔落采纳,获得10
6秒前
zink完成签到,获得积分10
6秒前
7秒前
mol完成签到 ,获得积分10
7秒前
大卫戴完成签到 ,获得积分10
7秒前
量子星尘发布了新的文献求助10
8秒前
学术废物发布了新的文献求助10
8秒前
9秒前
高兴的灰狼完成签到,获得积分10
9秒前
Elon完成签到,获得积分10
13秒前
fcyyc完成签到,获得积分20
13秒前
14秒前
大模型应助zhuhaot采纳,获得50
14秒前
15秒前
wu8577应助Cakeat采纳,获得10
15秒前
小二郎应助ccm采纳,获得20
17秒前
今后应助洺全采纳,获得10
17秒前
拼搏诗翠完成签到 ,获得积分10
18秒前
Jasper应助实验顺顺利利采纳,获得10
19秒前
IyGnauH发布了新的文献求助10
19秒前
昏睡的蟠桃应助emmm采纳,获得100
21秒前
21秒前
21秒前
SYLH应助PROTAC采纳,获得10
24秒前
麦穗完成签到,获得积分10
24秒前
领导范儿应助flasher22采纳,获得10
25秒前
25秒前
turquoise发布了新的文献求助10
26秒前
Wang1991发布了新的文献求助10
26秒前
辇道增七应助my采纳,获得10
27秒前
29秒前
30秒前
小恶心完成签到 ,获得积分10
30秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3958130
求助须知:如何正确求助?哪些是违规求助? 3504312
关于积分的说明 11117892
捐赠科研通 3235623
什么是DOI,文献DOI怎么找? 1788403
邀请新用户注册赠送积分活动 871211
科研通“疑难数据库(出版商)”最低求助积分说明 802547