A paper-based microfluidic sensor array combining molecular imprinting technology and carbon quantum dots for the discrimination of nitrophenol isomers

分析物 分子印迹 分子印迹聚合物 检出限 微流控 荧光 碳量子点 材料科学 猝灭(荧光) 纳米技术 传感器阵列 量子点 计算机科学 化学 色谱法 选择性 有机化学 量子力学 机器学习 物理 催化作用
作者
Liang Zhu,Xuecui Mei,Zhengchun Peng,Jiao Yang,Yingchun Li
出处
期刊:Journal of Hazardous Materials [Elsevier]
卷期号:435: 129012-129012 被引量:36
标识
DOI:10.1016/j.jhazmat.2022.129012
摘要

Paper-based microfluidic analytical devices (μPADs) have recently attracted attention as a rapid test kit owing to their low cost and nonrequirement for external driving pump. However, low accuracy and poor anti-interference ability of μPADs under complex detection condition limit their practical applications. Here, we present a facile way to prepare a novel fluorescence sensor-array μPAD for multi-analyte discrimination based on molecular imprinting technology, and its sensing behavior was studied by using three nitrophenol (NP) isomers (2-, 3-, and 4-NP) as the testing models. Carbon quantum dots (CQDs) emitting blue light were grafted on glass-fiber paper, followed by in-situ modification of three types of molecularly imprinted polymers (MIPs) with 2-, 3-, and 4-NP as template. Each sensing unit on the array showed differential yet cross-reactive binding affinity to NP isomers, resulting in distinct fluorescence quenching efficiency. Thus, precise distinguishment of the three NPs was realized with the MIPs/CQDs/paper-based sensor array. Furthermore, the discrimination ability of the platform was evaluated in mixtures of the NP isomers. Practicability of this apparatus was validated by identification of blind samples and 100% accuracy was achieved. The μPAD has proven to be highly sensitive and accurate, which will serve as an ideal analytical tool in the fields of environment monitoring, disease prognosis, food safety and so on.

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
冯川川完成签到,获得积分10
刚刚
科研通AI6.1应助无情元瑶采纳,获得10
刚刚
在时光的秋千上完成签到,获得积分10
刚刚
yibaozhangfa完成签到,获得积分10
刚刚
我是sorry啊完成签到,获得积分10
1秒前
jucy完成签到,获得积分10
1秒前
1秒前
结实的胡萝卜完成签到,获得积分10
2秒前
2秒前
科研通AI2S应助大力的凡旋采纳,获得10
2秒前
淡然寒蕾完成签到,获得积分10
2秒前
NPUerLin完成签到,获得积分10
2秒前
团子好无情完成签到 ,获得积分10
3秒前
852应助5High_0采纳,获得10
4秒前
4秒前
心砚完成签到,获得积分10
4秒前
4秒前
慢慢来完成签到 ,获得积分10
4秒前
5秒前
5秒前
viviancui完成签到,获得积分10
5秒前
5秒前
可爱的函函应助LWL200112采纳,获得10
5秒前
烟花应助wannada采纳,获得10
6秒前
一一完成签到,获得积分10
6秒前
dew应助Feegood采纳,获得10
7秒前
wang完成签到,获得积分10
7秒前
ing完成签到,获得积分10
7秒前
7秒前
嘻哈完成签到,获得积分10
8秒前
Tingting发布了新的文献求助10
8秒前
爱偷懒的Q完成签到,获得积分10
8秒前
sfs完成签到,获得积分10
8秒前
外向访卉发布了新的文献求助10
8秒前
8秒前
YoungLee发布了新的文献求助10
8秒前
Stephen完成签到,获得积分10
9秒前
可爱的函函应助123采纳,获得10
9秒前
9秒前
完美世界应助paner采纳,获得10
9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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Propeller Design 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
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 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6013718
求助须知:如何正确求助?哪些是违规求助? 7585223
关于积分的说明 16143045
捐赠科研通 5161263
什么是DOI,文献DOI怎么找? 2763570
邀请新用户注册赠送积分活动 1743713
关于科研通互助平台的介绍 1634431