Benzimidazole-based covalent organic polymer nanosheets incorporated in mesoporous organosilica nanoparticles with excitation-dependent fluorescence for sensing of Cu2+

材料科学 荧光 介孔二氧化硅 介孔材料 聚合物 X射线光电子能谱 苯并咪唑 纳米颗粒 共价键 检出限 分析化学(期刊) 光化学 纳米技术 化学工程 化学 有机化学 物理 量子力学 工程类 复合材料 催化作用 色谱法 冶金
作者
Lin Yuan,Shuhua Han
出处
期刊:Journal of Photochemistry and Photobiology A-chemistry [Elsevier BV]
卷期号:441: 114742-114742 被引量:1
标识
DOI:10.1016/j.jphotochem.2023.114742
摘要

A novel type of small-sized nanosheets (TD-Si) was prepared by chemical exfoliating stacked bulk materials of benzimidazole-based covalent organic polymer (TpDAB). Then TD-Si was used as organosiloxane precursor to incorporate into silica frameworks of mesoporous organosilica nanoparticles (TD-MONs) using CTAB as structural-directing agents. The obtained TD-MONs show a clearly hexagonal mesoporous structure with high surface area. Moreover, the optical properties of TD-MONs were measured with fluorescence and Ultraviolet–visible (UV–vis) spectroscopies. The results showed that TD-MONs possessed excitation wavelength dependent fluorescence and had better fluorescence properties due to the reduction of π-π stacking between nano-layers of TpDAB polymer. The emission peaks of TD-MONs were red-shifted as the excitation wavelength increases and TD-MONs exhibited the optimal fluorescence emission at 525 nm when excited at 400 nm. TD-MONs showed high selectivity, sensitivity and recyclability toward copper ions and could be used for the detection of Cu2+ with a low limit of detection (LOD) as low as 3.77 × 10−7 M. In addition, the coordination interaction between TD-MONs and copper ions was demonstrated by FT-IR spectra and high-resolution X-ray photoelectron spectra, and further proved that the binding sites were carbonyl oxygen atoms and imidazole nitrogen atoms in TD-MONs. Therefore, TD-MONs is expected to be a high-sensitive chemical sensor for detecting Cu2+.
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
搜集达人应助多睡会儿采纳,获得10
刚刚
刚刚
2秒前
paul发布了新的文献求助10
5秒前
Khr1stINK发布了新的文献求助10
5秒前
5秒前
在水一方应助cyy采纳,获得10
6秒前
8秒前
Ting完成签到,获得积分10
9秒前
张东泽完成签到,获得积分10
9秒前
9秒前
刘倩发布了新的文献求助10
9秒前
小蘑菇应助paul采纳,获得10
10秒前
打打应助橘子撞月球采纳,获得10
11秒前
leaolf完成签到,获得积分10
11秒前
张东泽发布了新的文献求助10
12秒前
HaroldNguyen完成签到,获得积分10
12秒前
overThat完成签到,获得积分10
12秒前
开朗之云完成签到,获得积分10
13秒前
13秒前
14秒前
15秒前
科研通AI5应助刘倩采纳,获得10
15秒前
一帆风顺发布了新的文献求助10
15秒前
Sepstar发布了新的文献求助10
15秒前
水论文行者完成签到,获得积分10
16秒前
16秒前
卡卡完成签到,获得积分10
16秒前
16秒前
力劈华山完成签到,获得积分10
18秒前
18秒前
miemie发布了新的文献求助10
18秒前
sugkook发布了新的文献求助10
19秒前
陈新发布了新的文献求助10
20秒前
20秒前
li发布了新的文献求助10
21秒前
21秒前
江北小赵完成签到,获得积分10
21秒前
22秒前
22秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Preparative Methods of Polymer Chemistry, 3rd Edition 200
The Oxford Handbook of Chinese Philosophy 200
New Syntheses with Carbon Monoxide 200
Quanterion Automated Databook NPRD-2023 200
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 3834931
求助须知:如何正确求助?哪些是违规求助? 3377433
关于积分的说明 10498261
捐赠科研通 3096910
什么是DOI,文献DOI怎么找? 1705240
邀请新用户注册赠送积分活动 820511
科研通“疑难数据库(出版商)”最低求助积分说明 772110