Coral reef-inspired hierarchical supersandwich on test strip for ultrasensitive dual-mode detection of cystatin C

化学 珊瑚 胱抑素C 色谱法 生物化学 分子生物学 生物物理学 胱抑素 计算生物学 生物
作者
Chengchun Zi,Jingjing Da,Min Zhang,Yuanyuan Li,Shuhui Wang,Yongjie Xu,Yan Zha
出处
期刊:Biosensors and Bioelectronics [Elsevier BV]
卷期号:307: 118760-118760
标识
DOI:10.1016/j.bios.2026.118760
摘要

Conventional gold nanoparticle (AuNP)-based lateral flow assays enable rapid point-of-care testing but suffer from limited sensitivity and a sole reliance on colorimetric readout. Here we developed a dual-mode lateral flow immunoassay (LFIA) that synergistically amplifies both colorimetric and fluorescent signals for the ultrasensitive detection of cystatin C. The key innovation is a UV-excitable DNA fluorescent "adhesive" composed of biotinylated tetrahedral DNA nanostructures bearing G-quadruplex motifs at each vertex. Upon chelation with N-methylmesoporphyrin IX(NMM), the structure generates strong fluorescence with a large Stokes shift (Ex/Em = 399/610 and 670 nm), effectively minimizing background interference and avoiding fluorescence quenching by AuNPs. Furthermore, inspired by coral reef growth, we established a bioinspired hierarchical assembly strategy. This DNA "adhesive" enables the sequential tethering of multiple layers of AuNP reporters onto the test line via streptavidin-biotin binding, forming a hierarchical Tet/AuNP superstructure that co-amplifies dual signals. The dual-mode strategy allows result cross-validation and achieves low limits of detection (LoD) for cystatin C at 5 ng/mL (fluorescence) and 25 ng/mL (colorimetric), representing a 50-fold sensitivity improvement over conventional LFIA (LoD: 250 ng/mL). Clinical validation using 40 human serum samples demonstrated excellent correlation with the standard particle-enhanced turbidimetric immunoassay and exhibited no cross-reactivity. By integrating a bioinspired assembly mechanism with a low-cost fluorescent adhesive, this work provides a robust and versatile platform for sensitive point-of-care detection of kidney injury biomarkers.
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
小二郎应助佐zzz采纳,获得10
刚刚
曦阳完成签到,获得积分10
2秒前
Nikki完成签到,获得积分10
2秒前
活力的寻云完成签到,获得积分10
4秒前
脑洞疼应助Eileen采纳,获得10
4秒前
一年5篇发布了新的文献求助10
5秒前
Eyrie2001完成签到,获得积分10
6秒前
Nikki发布了新的文献求助30
6秒前
脑洞疼应助小猪猪采纳,获得10
7秒前
8秒前
kexuezhongxinhu完成签到 ,获得积分10
9秒前
王泰一发布了新的文献求助10
9秒前
科研通AI2S应助pingzi采纳,获得10
9秒前
桃子完成签到,获得积分10
9秒前
10秒前
3AM发布了新的文献求助10
10秒前
10秒前
yxsoon完成签到,获得积分10
14秒前
14秒前
受伤幼枫发布了新的文献求助10
14秒前
xuedan发布了新的文献求助10
15秒前
形容完成签到,获得积分10
15秒前
16秒前
研友_nvG5bZ发布了新的文献求助10
16秒前
16秒前
可可完成签到,获得积分20
17秒前
18秒前
李青溟完成签到 ,获得积分10
18秒前
caianao完成签到 ,获得积分10
19秒前
21秒前
医心一意发布了新的文献求助10
22秒前
22秒前
蓝色的纪念完成签到,获得积分0
23秒前
云端漫步完成签到,获得积分10
24秒前
李健应助xuedan采纳,获得10
25秒前
26秒前
26秒前
26秒前
sinmon应助科研通管家采纳,获得10
27秒前
小蘑菇应助科研通管家采纳,获得10
27秒前
高分求助中
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2000
Overcoming Stigma and Bias in Obesity Management 1200
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6488708
求助须知:如何正确求助?哪些是违规求助? 8287113
关于积分的说明 17679152
捐赠科研通 5578376
什么是DOI,文献DOI怎么找? 2914120
邀请新用户注册赠送积分活动 1891160
关于科研通互助平台的介绍 1748664