Highly sensitive and label-free detection of catalase by a H2O2-responsive liquid crystal sensing platform

过氧化氢酶 水溶液 检出限 肺表面活性物质 化学 单层 溴化物 液晶 色谱法 材料科学 无机化学 有机化学 生物化学 光电子学
作者
Shaoqing Lu,Yongxian Guo,Lubin Qi,Qiongzheng Hu,Li Yu
出处
期刊:Sensors and Actuators B-chemical [Elsevier BV]
卷期号:344: 130279-130279 被引量:27
标识
DOI:10.1016/j.snb.2021.130279
摘要

Abnormal levels of catalase are implicated in multiple clinical diseases, so it is of great importance to monitor the levels of catalase in real samples. In this report, a H2O2-responsive liquid crystal (LC) sensing platform was developed and applied to the detection of catalase in human serum for the first time. The platform was constructed by doping LCs with a synthesized surfactant, namely N,N-dimethyl-N-(4-(4,4,5,5-tetramethyl-1,3,2-dioxaborolan-2-yl)benzyl)tetradecan-1-aminium bromide (PBEC14A), which can be decomposed by H2O2. Self-assembled monolayers formed at the aqueous/LC interface when immersing the surfactant-doped LCs into an aqueous solution. Accordingly, the LCs displayed a dark image that indicates a perpendicular state of the LCs at the interface. However, when H2O2 was present in the aqueous solution, the optical image of the LCs became bright that represents a planar state of the LCs at the interface. It is caused by disruption of the surfactant monolayers due to decomposition of PBEC14A by H2O2. Interestingly, it was found that the LCs still displayed the dark image when the pre-incubated mixture of catalase and H2O2 was transferred onto the LC sensing platform due to enzymatic hydrolysis of H2O2 by catalase. The detection limit of catalase reached as low as 5.5 mU/mL. In addition, it also shows excellent performance for the detection of catalase in human serum. As a simple and convenient method, it shows high promise in the highly sensitive and label-free detection of catalase in practical applications.

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
情怀应助feeuoo采纳,获得10
刚刚
paofu泡芙发布了新的文献求助10
刚刚
1秒前
千陌完成签到 ,获得积分10
1秒前
Yio完成签到 ,获得积分10
2秒前
华仔应助座上客采纳,获得10
2秒前
aajhajkahna应助沉静风华采纳,获得10
2秒前
Elizabeth12138完成签到 ,获得积分10
2秒前
FashionBoy应助hao采纳,获得10
2秒前
Planta完成签到,获得积分10
2秒前
4秒前
无辜的朋友完成签到,获得积分10
4秒前
科研通AI6.3应助zw采纳,获得10
4秒前
科研通AI6.4应助CX采纳,获得10
5秒前
专虐白榨菜完成签到,获得积分10
6秒前
czcz完成签到,获得积分10
6秒前
感性的妖丽完成签到,获得积分10
6秒前
大吃一筐馒头完成签到,获得积分10
7秒前
大个应助der采纳,获得10
7秒前
shenjunhong完成签到,获得积分10
7秒前
云等道完成签到 ,获得积分10
8秒前
ZJX完成签到,获得积分10
8秒前
8秒前
Mint完成签到 ,获得积分10
8秒前
Marshall发布了新的文献求助10
9秒前
科研通AI6.4应助千阳采纳,获得10
9秒前
Maestro_S发布了新的文献求助10
9秒前
李晋完成签到,获得积分10
9秒前
heady完成签到,获得积分10
10秒前
10秒前
灵巧代柔完成签到,获得积分10
10秒前
山顶洞人完成签到 ,获得积分10
10秒前
yu完成签到,获得积分10
10秒前
11秒前
Orange应助科研通管家采纳,获得10
11秒前
田様应助科研通管家采纳,获得10
11秒前
123456完成签到,获得积分10
12秒前
12秒前
香蕉觅云应助科研通管家采纳,获得30
12秒前
molihuakai应助科研通管家采纳,获得20
12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
Geist der Kunst und Kultur 1000
Social Psychology in the Real World 800
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7410669
求助须知:如何正确求助?哪些是违规求助? 9014716
关于积分的说明 19200020
捐赠科研通 7042577
什么是DOI,文献DOI怎么找? 3233176
关于科研通互助平台的介绍 2395481
邀请新用户注册赠送积分活动 2215239