Induction of chiral polymers from metal-organic framework for stereoselective recognition

化学 手性(物理) 聚苯胺 电化学 聚合物 圆二色性 导电聚合物 电导率 金属有机骨架 不对称诱导 组合化学 对映选择合成 有机化学 立体化学 吸附 物理化学 电极 手征异常 聚合 催化作用 量子力学 费米子 物理 Nambu–Jona Lasinio模型
作者
Xiaohui Niu,Simeng Yan,Letong Wang,Jinliang Chen,Rui Zhao,Hongxia Li,Jian Liu,Yingde Wang
出处
期刊:Analytica Chimica Acta [Elsevier BV]
卷期号:1196: 339546-339546 被引量:12
标识
DOI:10.1016/j.aca.2022.339546
摘要

So far, the fabrication of chiral metal-organic framework (CMOF) is difficult to predict and the chiral functionality mainly comes from the building blocks that is a part of the frameworks. The induction effect in the chiral nanochannels of the metal-organic framework (MOF) makes achiral polymers have chiral properties, which has not been well explored. Therefore, CMOFs with chiral nanochannels or chiral pores appear to have special functions. Herein, CMOFs (D-his-ZIF-8) with chiral micropores or chiral nanochannels are prepared through a simple 2-methyl imidazolate in-situ substitution by d-histidine. The unmodified polyaniline with chirality (c-PANI) was synthesized in chiral nanochannels and pores of CMOF, which brought about chiral induction from the chiral nanochannels and pores of CMOF to c-PANI chains. The circular dichroism shows that the c-PANI chains released from the chiral nanochannel still maintains the chiral properties even leaves the chiral nanochannel. It can be seen from the electrochemical results that c-PANI has excellent conductivity, and the conductivity of CMOF is very poor. Electrochemical recognition showed that both CMOF and c-PANI have certain chiral recognition effects for L-Trp and D-Trp, from which the optimal recognition effect was obtained from c-PANI chains. This shows that the excellent conductivity of c-PANI not only expands the electrochemical signal, but also the helical structure of the c-PANI chains accelerates the distinction of chiral molecules. This study provides a novel perspective to induce chiral polymer chains with better conductivity in the nanochannels of CMOF.

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
qikuu发布了新的文献求助30
刚刚
汉堡包应助含糊的电源采纳,获得10
刚刚
Keu完成签到,获得积分10
1秒前
1秒前
1秒前
无花果应助Coraline采纳,获得10
2秒前
2秒前
方源发布了新的文献求助10
2秒前
2秒前
Owen应助悦耳妙旋采纳,获得10
2秒前
2秒前
越越发布了新的文献求助20
3秒前
充电宝应助Tracy采纳,获得10
3秒前
FashionBoy应助zxe采纳,获得10
3秒前
4秒前
小底发布了新的文献求助10
4秒前
深情安青应助隋盈春采纳,获得10
4秒前
英俊的铭应助能干的二娘采纳,获得10
5秒前
FashionBoy应助小希采纳,获得10
6秒前
乔晶发布了新的文献求助10
6秒前
科研通AI6.1应助wyh采纳,获得10
7秒前
7秒前
8秒前
8秒前
方源发布了新的文献求助10
8秒前
9秒前
可爱的函函应助随梦而飞采纳,获得10
10秒前
10秒前
科研通AI6.1应助Darjeeling采纳,获得10
10秒前
10秒前
Scout发布了新的文献求助10
10秒前
10秒前
10秒前
11秒前
11秒前
好好好发布了新的文献求助10
12秒前
12秒前
科研通AI6.1应助小希采纳,获得10
12秒前
12秒前
共享精神应助平淡菠萝采纳,获得10
13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
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6521216
求助须知:如何正确求助?哪些是违规求助? 8314433
关于积分的说明 17785735
捐赠科研通 5623478
什么是DOI,文献DOI怎么找? 2927644
邀请新用户注册赠送积分活动 1904375
关于科研通互助平台的介绍 1764542