亲爱的研友该休息了!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!身体可是革命的本钱,早点休息,好梦!

Toward Rational Design of Electrogenerated Molecularly Imprinted Polymers (eMIPs): Maximizing Monomer/Template Affinity

分子印迹聚合物 单体 聚合物 聚合 滴定法 材料科学 选择性 合理设计 分子识别 组合化学 质子核磁共振 化学 分子 有机化学 纳米技术 催化作用
作者
P. U. Ashvin Iresh Fernando,Matthew W. Glasscott,Gilbert K. Kosgei,Jared S. Cobb,Erik M. Alberts,Caitlin G. Bresnahan,Timothy C. Schutt,Garrett W. George,Lee C. Moores
出处
期刊:ACS applied polymer materials [American Chemical Society]
卷期号:3 (9): 4523-4533 被引量:22
标识
DOI:10.1021/acsapm.1c00575
摘要

Molecularly imprinted polymers (MIPs) may be used to confer specific recognition properties to a variety of practical sensors and sorbents. However, the synthetic parameters (monomer species, template/monomer ratio, etc.) used to generate MIPs significantly impact their sensitivity and selectivity, generally requiring arduous empirical optimization to obtain materials with maximal target affinity. We present a MIP synthesis strategy that prioritizes the optimization of the pre-polymerization complex as a predictive model for the final polymer properties and demonstrate how greater target affinity may be obtained without iterative analysis of the polymer film. 2,4-Dichlorophenoxyacetic acid (2,4-D), a prevalent herbicide, was chosen for detection using electrogenerated molecularly imprinted polymers (eMIPs). eMIPs were rationally designed using molecular simulations to down-select an ideal functional monomer with a maximal affinity for 2,4-D. Following monomer selection, proton-based nuclear magnetic resonance (1H NMR) titrations were used to verify the simulation results and optimize the monomer/2,4-D ratio by tracking the chemical shift associated with monomer/target binding. Following optimization, eMIPs were synthesized by the anodic electropolymerization of the selected monomer, o-phenylenediamine, onto gold substrates in the presence of 2,4-D, which was subsequently stripped away via solvent washing to reveal 2,4-D-specific binding sites. Surface sites were blocked upon 2,4-D association with the eMIP when placed in contaminated water, which was tracked electrochemically. The ability of molecular simulations and 1H NMR titrations to predict optimal monomer/2,4-D ratios was evaluated by fitting the experimental data to a Langmuir–Freundlich isotherm, revealing a significant increase in target affinity (Ka) and binding site homogeneity (m) related to the chemical shifts exhibited by the pre-polymerization complex for o-phenylenediamine (o-PD). The two techniques, when evaluated on o-PD, predicted ideal monomer/template ratios with remarkable agreement. Thus, the synthetic strategy outlined herein represents a streamlined approach for the rapid prototyping and design of eMIP-based sensing elements essential for the realization of next-generation polymeric sensors and sorbents.
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
浮游应助black_jade采纳,获得10
3秒前
丘比特应助black_jade采纳,获得10
4秒前
喜悦宫苴完成签到,获得积分10
6秒前
所所应助朝朝暮夕采纳,获得10
7秒前
山川日月完成签到,获得积分10
8秒前
小谢同学完成签到 ,获得积分10
11秒前
合一海盗完成签到,获得积分10
12秒前
科研通AI6应助科研通管家采纳,获得10
12秒前
科研通AI6应助科研通管家采纳,获得30
12秒前
17秒前
丘比特应助rrrrrrry采纳,获得10
18秒前
lmm完成签到 ,获得积分10
23秒前
Truman发布了新的文献求助10
23秒前
偷看星星完成签到 ,获得积分10
24秒前
26秒前
26秒前
jiajia完成签到 ,获得积分10
29秒前
31秒前
33秒前
彭于晏应助rrrrrrry采纳,获得10
34秒前
35秒前
37秒前
俏皮的安萱完成签到 ,获得积分10
38秒前
小小发布了新的文献求助50
39秒前
39秒前
39秒前
Tsugo发布了新的文献求助10
40秒前
传奇3应助囡囡采纳,获得10
40秒前
CipherSage应助大绿豆采纳,获得10
41秒前
李志鸿发布了新的文献求助10
41秒前
43秒前
小怪完成签到,获得积分10
43秒前
43秒前
踟蹰发布了新的文献求助10
45秒前
汉堡包应助DDvicky采纳,获得10
47秒前
47秒前
48秒前
50秒前
小怪发布了新的文献求助10
50秒前
52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
Iron toxicity and hematopoietic cell transplantation: do we understand why iron affects transplant outcome? 2000
List of 1,091 Public Pension Profiles by Region 1021
上海破产法庭破产实务案例精选(2019-2024) 500
Teacher Wellbeing: Noticing, Nurturing, Sustaining, and Flourishing in Schools 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 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 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5476217
求助须知:如何正确求助?哪些是违规求助? 4577883
关于积分的说明 14363077
捐赠科研通 4505789
什么是DOI,文献DOI怎么找? 2468870
邀请新用户注册赠送积分活动 1456491
关于科研通互助平台的介绍 1430126