A hydrogen-bonded organic framework containing fluorescent carbazole and responsive pyridyl units for sensing organic acids

咔唑 荧光 化学 组合化学 有机化学 量子力学 物理
作者
Liangji Chen,Zhen Yuan,Fudong Feng,Xin Zhou,Zhile Xiong,Wuji Wei,Hao Zhang,Banglin Chen,Shengchang Xiang,Zhangjing Zhang
出处
期刊:Chinese Chemical Letters [Elsevier BV]
卷期号:35 (9): 109344-109344 被引量:18
标识
DOI:10.1016/j.cclet.2023.109344
摘要

Hydrogen-bonded organic frameworks (HOFs) are a promising candidate for optical sensing, but the lack of effective design strategies poses significant challenges to the construction of HOFs for organic acid sensing. In this work, the first HOF for organic acid sensing is reported by constructing a multiple-pyridine carbazole-based dense HOF, namely HOF-FJU-206, from a tripyridine-carbazole molecular 3,6-bis(pyridin-4-yl)-9-(4-(pyridin-4-yl)phenyl)-9H-carbazole (CPPY) with carbazole center for luminescence, pyridyl sites for its responsive of hydrogen proton, and narrow channels in the dense framework for the diffusion of hydrogen protons. HOF-FJU-206 exhibits differential responsively fluorescence sensing and recovery properties to formic, acetic, and propionic acids with different molecular sizes and pKa value (acid dissociation constant). The dissociation degree of various acids can be determined by analyzing the slope of changes in both peak wavelength and intensity of in-situ fluorescence, which easily enables the dual-corrective recognition of different acids. The varying degree of protonation at pyridine sites is proved to be the reason for differential sensing of various acids, as demonstrated by 1H NMR spectra, X-ray photoelectron spectroscopy (XPS) characterization, and modeling studies.
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
彭于晏应助大胆诗翠采纳,获得10
刚刚
1秒前
雪雪发布了新的文献求助10
1秒前
1秒前
英俊的铭应助tingting1990采纳,获得10
2秒前
NexusExplorer应助贾莉越采纳,获得10
2秒前
2秒前
3秒前
3秒前
4秒前
Yvonne完成签到 ,获得积分10
5秒前
小二郎应助小蜗采纳,获得30
6秒前
谭代涛发布了新的文献求助10
7秒前
xhh完成签到,获得积分10
7秒前
辰星发布了新的文献求助10
7秒前
111发布了新的文献求助10
8秒前
lyx发布了新的文献求助10
8秒前
ZeKaWa应助雪雪采纳,获得10
8秒前
甜美黄豆发布了新的文献求助10
8秒前
9秒前
顾矜应助骑猪兜风采纳,获得10
9秒前
烟花应助wwj1122采纳,获得10
9秒前
橙子完成签到,获得积分10
10秒前
10秒前
小胖完成签到,获得积分10
11秒前
12秒前
12秒前
科研通AI2S应助hui采纳,获得10
13秒前
玛卡巴卡完成签到,获得积分10
13秒前
宗语雪完成签到,获得积分10
14秒前
001完成签到,获得积分20
15秒前
alli发布了新的文献求助10
16秒前
16秒前
18秒前
echo发布了新的文献求助10
19秒前
阿尔文发布了新的文献求助10
20秒前
雨落长安完成签到,获得积分10
20秒前
20秒前
zz完成签到,获得积分10
21秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
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 6492186
求助须知:如何正确求助?哪些是违规求助? 8289880
关于积分的说明 17689415
捐赠科研通 5583896
什么是DOI,文献DOI怎么找? 2915252
邀请新用户注册赠送积分活动 1892392
关于科研通互助平台的介绍 1750377