Highly sensitive photoelectrochemical biosensor for kinase activity detection and inhibition based on the surface defect recognition and multiple signal amplification of metal-organic frameworks

生物传感器 信号(编程语言) 化学 金属有机骨架 纳米技术 材料科学 计算机科学 光电子学 有机化学 程序设计语言 吸附
作者
Zonghua Wang,Zhiyong Yan,Feng Wang,Jibao Cai,Lei Guo,Jiakun Su,Yang Liu
出处
期刊:Biosensors and Bioelectronics [Elsevier]
卷期号:97: 107-114 被引量:78
标识
DOI:10.1016/j.bios.2017.05.011
摘要

A turn-on photoelectrochemical (PEC) biosensor based on the surface defect recognition and multiple signal amplification of metal-organic frameworks (MOFs) was proposed for highly sensitive protein kinase activity analysis and inhibitor evaluation. In this strategy, based on the phosphorylation reaction in the presence of protein kinase A (PKA), the Zr-based metal-organic frameworks (UiO-66) accommodated with [Ru(bpy)3]2+ photoactive dyes in the pores were linked to the phosphorylated kemptide modified TiO2/ITO electrode through the chelation between the Zr4+ defects on the surface of UiO-66 and the phosphate groups in kemptide. Under visible light irradiation, the excited electrons from [Ru(bpy)3]2+ adsorbed in the pores of UiO-66 injected into the TiO2 conduction band to generate photocurrent, which could be utilized for protein kinase activities detection. The large surface area and high porosities of UiO-66 facilitated a large number of [Ru(bpy)3]2+ that increased the photocurrent significantly, and afforded a highly sensitive PEC analysis of kinase activity. The detection limit of the as-proposed PEC biosensor was 0.0049 U mL−1 (S/N!=!3). The biosensor was also applied for quantitative kinase inhibitor evaluation and PKA activities detection in MCF-7 cell lysates. The developed visible-light PEC biosensor provides a simple detection procedure and a cost-effective manner for PKA activity assays, and shows great potential in clinical diagnosis and drug discoveries.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
1秒前
碗碗完成签到,获得积分10
1秒前
专一的新之完成签到 ,获得积分10
3秒前
zz发布了新的文献求助10
4秒前
科学家发布了新的文献求助10
8秒前
dreamland完成签到,获得积分10
9秒前
稻草人完成签到 ,获得积分10
11秒前
活泼小霜发布了新的文献求助10
13秒前
会厌完成签到 ,获得积分10
13秒前
宋兽兽完成签到,获得积分20
14秒前
curtisness应助Daligtu采纳,获得10
16秒前
19秒前
21秒前
无所吊谓发布了新的文献求助30
21秒前
theThreeMagi完成签到,获得积分10
21秒前
宋兽兽发布了新的文献求助10
22秒前
荣枫发布了新的文献求助10
23秒前
一只猪发布了新的文献求助20
24秒前
太阳发布了新的文献求助10
32秒前
32秒前
荣枫完成签到,获得积分10
34秒前
充电宝应助tqs采纳,获得10
35秒前
35秒前
NexusExplorer应助科研通管家采纳,获得10
36秒前
小马甲应助科研通管家采纳,获得10
37秒前
慕青应助科研通管家采纳,获得10
37秒前
37秒前
37秒前
华仔应助科研通管家采纳,获得10
37秒前
bkagyin应助梦璃采纳,获得10
38秒前
结实星星发布了新的文献求助50
38秒前
上官若男应助ZLQ2023采纳,获得10
39秒前
凡凡好运发布了新的文献求助20
39秒前
44秒前
爆米花应助zzxuan采纳,获得20
45秒前
46秒前
白白完成签到,获得积分10
46秒前
segama发布了新的文献求助30
51秒前
梦璃发布了新的文献求助10
51秒前
52秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1200
中国荞麦品种志 1000
BIOLOGY OF NON-CHORDATES 1000
Autoregulatory progressive resistance exercise: linear versus a velocity-based flexible model 550
The Collected Works of Jeremy Bentham: Rights, Representation, and Reform: Nonsense upon Stilts and Other Writings on the French Revolution 320
Discourse, Identities and Genres in Corporate Communication 300
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3359740
求助须知:如何正确求助?哪些是违规求助? 2982407
关于积分的说明 8703583
捐赠科研通 2664088
什么是DOI,文献DOI怎么找? 1458822
科研通“疑难数据库(出版商)”最低求助积分说明 675293
邀请新用户注册赠送积分活动 666390