Fluorescence distinguishing of SO2 derivatives and Cys/GSH from multi-channel signal patterns and visual sensing based on smartphone in living cells and environment

荧光 化学 信号(编程语言) 计算机科学 人机交互 光学 程序设计语言 物理
作者
Xuerui Song,Chunlin Jing,Yingzhe Wang,Yan Feng,Chen Cao,Kun Wang,Weisheng Liu,Jiaxi Ru
出处
期刊:Journal of Hazardous Materials [Elsevier]
卷期号:413: 125332-125332 被引量:30
标识
DOI:10.1016/j.jhazmat.2021.125332
摘要

Sulfur dioxide (SO2), cysteine (Cys) and glutathione (GSH), which perform crucial actions in regulating the balance of human, are closely related reactive sulfur species (RSS). Moreover, SO2 is one of the most concerned air pollutants, which is easily soluble in water and forms its derivatives. Therefore, it is highly desirable to differentiate SO2 derivatives and Cys/GSH in living cells and environment. Herein, a new near-infrared (NIR) mitochondria-targeted fluorescent probe, NIR-CG, which could distinguish SO2 derivatives and Cys/GSH by using multiple sets of signal patterns under single excitation was reported. NIR-CG exhibited different fluorescence signal modes to SO32− and Cys/GSH with low limit of detection (17.1 nM for SO32−, 17.3 nM for Cys and 25.9 nM for GSH). The recognition mechanisms of NIR-CG to SO32− and Cys/GSH were verified by HRMS, 1H NMR and DFT calculation. NIR-CG had good ability of mitochondrial targeted and fluorescence imaging in cells. What's more, NIR-CG showed great recovery rates (101–104%) in the determination of SO32− in actual water samples. It was worth noting that NIR-CG-based paper strip successfully realized the visual quantitative detection of SO32− and Cys/GSH by use of smartphone, which offered a novel method to develop powerful sensing platform.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
浮生六记完成签到 ,获得积分10
刚刚
一只羊发布了新的文献求助10
刚刚
刚刚
刚刚
2秒前
Leo关闭了Leo文献求助
2秒前
gm完成签到,获得积分10
2秒前
阿狄丽娜完成签到,获得积分10
2秒前
活泼冬天完成签到,获得积分10
2秒前
2秒前
2秒前
3秒前
xiaozhejia完成签到,获得积分10
3秒前
猫好好完成签到,获得积分10
3秒前
CTtoF完成签到,获得积分10
3秒前
lhz发布了新的文献求助10
4秒前
浅是宝贝完成签到,获得积分10
4秒前
煎饼煎饼完成签到,获得积分10
4秒前
火火发布了新的文献求助10
4秒前
orixero应助楚天正阔采纳,获得10
4秒前
123456发布了新的文献求助20
5秒前
innyjiang完成签到,获得积分10
5秒前
5秒前
风生完成签到,获得积分10
6秒前
6秒前
CC完成签到,获得积分10
6秒前
7秒前
冰霜发布了新的文献求助10
7秒前
nwds发布了新的文献求助10
7秒前
可靠的南露完成签到,获得积分10
8秒前
jiyue540完成签到,获得积分10
8秒前
moon应助橙子采纳,获得10
8秒前
ll完成签到,获得积分10
9秒前
Dobby完成签到,获得积分10
9秒前
顾化蛹完成签到 ,获得积分10
9秒前
啾比文完成签到,获得积分10
9秒前
充电宝应助科研通管家采纳,获得10
10秒前
共享精神应助科研通管家采纳,获得10
10秒前
lwl666应助科研通管家采纳,获得10
10秒前
高分求助中
晶体学对称群—如何读懂和应用国际晶体学表 1500
Problem based learning 1000
Constitutional and Administrative Law 1000
Microbially Influenced Corrosion of Materials 500
Die Fliegen der Palaearktischen Region. Familie 64 g: Larvaevorinae (Tachininae). 1975 500
Numerical controlled progressive forming as dieless forming 400
Rural Geographies People, Place and the Countryside 400
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 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5388079
求助须知:如何正确求助?哪些是违规求助? 4510086
关于积分的说明 14034160
捐赠科研通 4420931
什么是DOI,文献DOI怎么找? 2428520
邀请新用户注册赠送积分活动 1421146
关于科研通互助平台的介绍 1400361