An electrochemical microsensor for osteopontin based on a molecularly imprinted layer and a built-in probe-functionalized acupuncture needle

骨桥蛋白 分子印迹聚合物 生物标志物 纳米技术 软骨内骨化 材料科学 化学 医学 软骨 生物化学 内科学 解剖 选择性 催化作用
作者
Xue Kong,Yi Zhang,Yan Liu,Jinghui Lyu,Zheng‐Zhi Yin
出处
期刊:Analytical Methods [Royal Society of Chemistry]
卷期号:17 (14): 2902-2910 被引量:2
标识
DOI:10.1039/d5ay00114e
摘要

Osteopontin (OPN) is an important biomarker for reflecting osteoarthritic inflammation and endochondral ossification. In the field of electroanalysis, OPN is a non-electroactive protein, which is usually detected by means of an outer probe or biolabel. Here, a novel microsensor that can directly electroanalyze OPN was constructed by coordinating a surface molecularly imprinted polymer (SMIP) with a built-in electroactive probe of poly(methylene blue) (pMB) on an acupuncture needle microelectrode (ANME). The OPN template can be reversibly anchored using 4-mercaptophenylboronic acid (4-MBPA) via a borate bond between phenylboronic acid and the external cis-diol of the glycoprotein. Methylene blue (MB) and dopamine (DA) were sequentially electropolymerized and grown around templates, which played pivotal roles in the detection signal from the built-in pMB through the imprinted nanocavities. After the recombination of OPN molecules with imprinted nanocavities, the current strength of built-in pMB could be impeded, producing a highly sensitive response. This microsensor shows a linear relationship with the concentration of OPN from 0.01 to 1000 ng mL-1 with a detection limit of 3 pg mL-1. The microsensor also exhibits high selectivity and stability, which is attributed to the recognizing ability of the imprinted nanocavities and the hindrance and anti-interference function of coated polydopamine (pDA). This strategy of preparing a sensor shows practical and scientific significance for functionalizing microelectrodes and constructing microsensors for non-electroactive glycoproteins. In the future, it will be fascinating to integrate this microsensor with the acupuncture technique.
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
刚刚
1秒前
MingM完成签到,获得积分10
1秒前
1秒前
小陈应助raner采纳,获得10
1秒前
初十应助raner采纳,获得10
1秒前
默默发布了新的文献求助10
3秒前
PP发布了新的文献求助10
3秒前
枫丶发布了新的文献求助10
4秒前
海鸥完成签到,获得积分10
4秒前
4秒前
爆米花应助呼呼呼采纳,获得10
5秒前
HTH完成签到,获得积分20
5秒前
打不咧发布了新的文献求助10
5秒前
6秒前
6秒前
6秒前
Deposit发布了新的文献求助10
6秒前
李志凯发布了新的文献求助10
7秒前
7秒前
MA完成签到,获得积分10
7秒前
cczz发布了新的文献求助10
7秒前
田様应助辛勤诗云采纳,获得10
8秒前
9秒前
张自燮完成签到,获得积分10
9秒前
9秒前
10秒前
俭朴怀蝶发布了新的文献求助10
10秒前
Orange应助木习习采纳,获得10
11秒前
小二郎应助ncvrt采纳,获得10
11秒前
12秒前
DDDD发布了新的文献求助10
12秒前
12秒前
梅子发布了新的文献求助10
12秒前
13秒前
duanhahaha发布了新的文献求助10
13秒前
HY发布了新的文献求助30
13秒前
英姑应助愉快的依霜采纳,获得10
14秒前
zzz完成签到,获得积分10
14秒前
强子今天读文献了嘛完成签到,获得积分10
15秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 500
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 7251301
求助须知:如何正确求助?哪些是违规求助? 8873881
关于积分的说明 18729674
捐赠科研通 6931011
什么是DOI,文献DOI怎么找? 3199343
关于科研通互助平台的介绍 2374325
邀请新用户注册赠送积分活动 2173988