A pH-responsive fluorometric and colorimetric system based on silicon quantum dots and 4-nitrophenol for urease activity detection

化学 尿素酶 检出限 荧光 水溶液 水解 量子点 吸收(声学) 分析化学(期刊) 尿素 核化学 色谱法 纳米技术 有机化学 物理 量子力学 材料科学 声学
作者
Jinying Liu,Jiabao Zhang,Yue Zhang,Yan Wang,Mengke Wang,Ziwen Li,Guannan Wang,Xingguang Su
出处
期刊:Talanta [Elsevier BV]
卷期号:237: 122956-122956 被引量:15
标识
DOI:10.1016/j.talanta.2021.122956
摘要

In this paper, we proposed a dual-signal fluorometric and colorimetric system based on silicon quantum dots (SiQDs) and 4-nitrophenol (4-NP) for pH and urease sensing. SiQDs with fluorescence emission of 460 nm were prepared via aqueous-phase synthesis. As the pH of the system gradually increased, the absorption band of 4-NP at 400 nm increased and a color reaction from colorless to yellow occurred. The absorption of 4-NP overlapped quiet well with the fluorescence excitation spectrum of SiQDs, which can effectively quench the fluorescence of SiQDs. Therefore, the change of fluorescence and absorption intensities could be used to quantify pH value. The fluorometric and colorimetric pH-sensing systems both exhibited a linear respond to pH ranging from 6.0 to 7.8 with an interval of 0.2 pH unit. Urease could specifically hydrolyze urea to generate carbon dioxide and ammonia, causing an obvious increase of the pH value. Thus, urease could also be detected quantitatively by the above dual-signal pH sensing system. The linear ranges of the fluorometric and colorimetric methods for urease detection were both 2-40 U L-1. The limits of detection were 1.67 and 1.07 U L-1, respectively. More importantly, this established dual-signal system has been successfully exploited in the detection of urease in real samples with satisfactory recoveries. Compared with other traditional single-signal assay strategies, the results obtained by dual-signal methods are more accurate and reliable.
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
万能图书馆应助lilac采纳,获得10
1秒前
Hz完成签到 ,获得积分10
5秒前
可爱的函函应助CC采纳,获得10
5秒前
6秒前
sammi米发布了新的文献求助10
6秒前
科研通AI5应助默默的傲云采纳,获得10
8秒前
京果完成签到,获得积分10
8秒前
詹姆斯完成签到,获得积分20
8秒前
8秒前
10秒前
11秒前
lili完成签到,获得积分20
11秒前
12秒前
12秒前
阔达磬发布了新的文献求助10
13秒前
lijun完成签到,获得积分10
13秒前
酷波er应助yunli采纳,获得10
13秒前
汉堡包应助nana采纳,获得10
14秒前
典雅问寒应助困的晕福福采纳,获得10
15秒前
15秒前
18062677029完成签到 ,获得积分10
18秒前
充电宝应助阔达磬采纳,获得10
20秒前
Lyhhh发布了新的文献求助10
20秒前
在水一方应助nn采纳,获得10
21秒前
zhang完成签到,获得积分10
21秒前
22秒前
何小抽发布了新的文献求助20
22秒前
叫我喝水完成签到,获得积分10
22秒前
23秒前
oldyang发布了新的文献求助10
24秒前
24秒前
26秒前
yyyyyy完成签到 ,获得积分10
26秒前
ZXDDDD发布了新的文献求助10
26秒前
畅快的忆丹完成签到,获得积分10
29秒前
初夏发布了新的文献求助10
31秒前
源缘发布了新的文献求助20
32秒前
dai发布了新的文献求助20
32秒前
33秒前
33秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Homolytic deamination of amino-alcohols 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
Massenspiele, Massenbewegungen. NS-Thingspiel, Arbeiterweibespiel und olympisches Zeremoniell 500
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 3728832
求助须知:如何正确求助?哪些是违规求助? 3273843
关于积分的说明 9983753
捐赠科研通 2989158
什么是DOI,文献DOI怎么找? 1640194
邀请新用户注册赠送积分活动 779103
科研通“疑难数据库(出版商)”最低求助积分说明 747973