Selective detection and controlled release of Aspirin over fluorescent amino-functionalized metal–organic framework in aqueous solution

阿司匹林 荧光 检出限 发光 水溶液 金属有机骨架 分子间力 材料科学 化学 氢键 纳米技术 组合化学 分子 有机化学 色谱法 光电子学 生物化学 物理 量子力学 吸附
作者
Xiaoyu Xu,Bing Yan
出处
期刊:Sensors and Actuators B-chemical [Elsevier BV]
卷期号:230: 463-469 被引量:45
标识
DOI:10.1016/j.snb.2016.02.101
摘要

Aspirin, as a traditional anti-inflammatory drug, also leads to some side-effect due to inapposite dose. Simple and sensitive sensors capable of detecting Aspirin would have a significant relevance for human bodies. In this work, a highly selective and sensitive fluorescence probe for detecting Aspirin has been developed based on luminescent Zr-based metal–organic frameworks (MOFs) with accessible channels and functional sites (free amino group). The MOFs show excellent luminescence and good fluorescence stability in aqueous environment. In the presence of Aspirin, the fluorescence would enhance dramatically (∼20.77 times as much as that of without Aspirin) due to the intermolecular hydrogen-bonding interaction between free-NH2 in MOFs and Aspirin. The proposed detecting system shows a low detection limit (0.02 μM) and a broad liner range (0.02–200 μM) for Aspirin detection. Most importantly, it also expresses good capacity for controlled release of Aspirin in PBS buffer solution (pH 7.4), which has a higher loading content (46%) than some Aspirin loading system. Considering its simple, cost-effective, environmental-friendly as well as combining detection and controlled release, we expect the system will have great potential for biological analysis.

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
天真的人英完成签到 ,获得积分10
2秒前
Shmilykk应助齐静春采纳,获得10
2秒前
3秒前
科研通AI6.3应助Yxianzi采纳,获得10
6秒前
kaokuiu发布了新的文献求助10
6秒前
珺儿发布了新的文献求助10
8秒前
10秒前
jenningseastera应助pyxd采纳,获得10
11秒前
kkk发布了新的文献求助10
11秒前
HermanCheney完成签到,获得积分10
12秒前
13秒前
13秒前
14秒前
可爱的函函应助谢冬采纳,获得10
14秒前
14秒前
11235应助科研通管家采纳,获得10
14秒前
14秒前
14秒前
斯文败类应助科研通管家采纳,获得10
14秒前
14秒前
14秒前
14秒前
茶839应助科研通管家采纳,获得10
14秒前
11235应助科研通管家采纳,获得10
14秒前
Orange应助科研通管家采纳,获得10
14秒前
隐形曼青应助科研通管家采纳,获得10
14秒前
狗十七发布了新的文献求助10
14秒前
珺儿完成签到,获得积分10
15秒前
17秒前
夏子完成签到,获得积分10
19秒前
科研通AI6.4应助梨花采纳,获得10
22秒前
24秒前
26秒前
刘奶奶的牛奶完成签到,获得积分20
26秒前
谢冬完成签到,获得积分20
27秒前
29秒前
29秒前
Akim应助lzh采纳,获得10
29秒前
谢冬发布了新的文献求助10
30秒前
十七完成签到,获得积分10
30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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Mass participant sport event brand associations: an analysis of two event categories 500
Photodetectors: From Ultraviolet to Infrared 500
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 6354704
求助须知:如何正确求助?哪些是违规求助? 8169807
关于积分的说明 17197992
捐赠科研通 5410663
什么是DOI,文献DOI怎么找? 2864105
邀请新用户注册赠送积分活动 1841625
关于科研通互助平台的介绍 1690050