UiO-66-NH2 Metal–Organic Framework for the Detection of Alzheimer’s Biomarker Aβ (1-42)

生物标志物 单体 检出限 表面等离子共振 线性范围 纳米技术 化学 材料科学 组合化学 纳米颗粒 色谱法 生物化学 有机化学 聚合物
作者
Qingqing Fan,Junrong Wang,Joanna Biazik,Shu Geng,Federico Mazur,Yuhuan Li,Pu Chun Ke,Rona Chandrawati
出处
期刊:ACS applied bio materials [American Chemical Society]
卷期号:7 (1): 182-192 被引量:20
标识
DOI:10.1021/acsabm.3c00768
摘要

Neurodegenerative disorders pose a significant challenge to global healthcare, with Alzheimer's disease (AD) being one of the most prevalent forms. Early and accurate detection of amyloid-β (Aβ) (1-42) monomers, a key biomarker of AD pathology, is crucial for effective diagnosis and intervention of the disease. Current gold standard detection techniques for Aβ include enzyme-linked immunosorbent assay and surface plasmon resonance. Although reliable, they are limited by their cost and time-consuming nature, thus restricting their point-of-care applicability. Here we present a sensitive and rapid colorimetric sensor for the detection of Aβ (1-42) monomers within 5 min. This was achieved by harnessing the peroxidase-like activity of metal-loaded metal-organic frameworks (MOFs), specifically UiO-66-NH2, coupled with the strong affinity of Aβ (1-42) to the MOFs. Various metal-loaded MOFs were synthesized and investigated, and platinum-loaded UiO-66-NH2 was identified as the optimal candidate for our purpose. The Pt-loaded UiO-66-NH2 sensor demonstrated detection limits of 2.76 and 4.65 nM Aβ (1-42) monomers in water and cerebrospinal fluid, respectively, with a linear range from 0.75 to 25 nM (R2 = 0.9712), outperforming traditional detection techniques in terms of both detection time and complexity. Moreover, the assay was specific toward Aβ (1-42) monomers when evaluated against interfering compounds. The rapid and cost-effective sensor may help circumvent the limitations of conventional detection methods, thus providing a promising avenue for early AD diagnosis and facilitating improved clinical outcomes.
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
阿威完成签到,获得积分10
刚刚
可爱的函函应助故事采纳,获得10
1秒前
ee应助孔乙己采纳,获得10
1秒前
2秒前
菜菜菜狗发布了新的文献求助30
3秒前
Orange应助美丽的涵菡采纳,获得10
3秒前
3秒前
4秒前
SciGPT应助allen采纳,获得10
4秒前
Yuki完成签到 ,获得积分10
6秒前
7秒前
闫秉正发布了新的文献求助10
7秒前
8秒前
雨齐完成签到,获得积分10
9秒前
坦率的尔丝完成签到,获得积分10
9秒前
氕氘氚发布了新的文献求助10
10秒前
11秒前
11秒前
永字号发布了新的文献求助100
11秒前
小粒橙完成签到 ,获得积分10
12秒前
13秒前
勤qin发布了新的文献求助10
14秒前
wuniuniu发布了新的文献求助10
15秒前
15秒前
逆袭者发布了新的文献求助10
16秒前
mia发布了新的文献求助10
18秒前
邹佳林完成签到,获得积分10
19秒前
瞌睡虫子完成签到 ,获得积分10
19秒前
独特的又菱完成签到,获得积分10
20秒前
zz完成签到 ,获得积分10
23秒前
24秒前
JiangXueBa发布了新的文献求助10
24秒前
脑洞疼应助闫秉正采纳,获得10
25秒前
刘国建郭菱香完成签到,获得积分10
26秒前
心中的日月完成签到,获得积分10
27秒前
ee应助jkhjkhj采纳,获得10
28秒前
29秒前
allen发布了新的文献求助10
30秒前
Ecibyer发布了新的文献求助10
32秒前
跳跃的夜柳应助wzzznh采纳,获得10
33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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 生物化学 化学工程 物理 计算机科学 复合材料 内科学 催化作用 物理化学 光电子学 电极 冶金 基因 遗传学
热门帖子
关注 科研通微信公众号,转发送积分 6023016
求助须知:如何正确求助?哪些是违规求助? 7645959
关于积分的说明 16171105
捐赠科研通 5171318
什么是DOI,文献DOI怎么找? 2767068
邀请新用户注册赠送积分活动 1750461
关于科研通互助平台的介绍 1637029