微泡
外体
适体
检出限
纳米技术
化学
分析物
材料科学
生物物理学
分子结合
干细胞
纳米颗粒
肉眼
跟踪(心理语言学)
微流控
细胞
构象变化
翻译(生物学)
光流学
HEK 293细胞
分子探针
临床诊断
液晶
信号(编程语言)
作者
Jinchen Xu,Yueming Ou,Zhengming Su,Guanming Lin,Jiahao Jiang,Yinuo Guo,Peilu Li,Zhexin Zhou,Shuting Xie,Yifan Liu,Lingling Shui,M. W. Zhang,HONGLIN CHEN
出处
期刊:ACS Sensors
[American Chemical Society]
日期:2026-03-03
卷期号:11 (3): 2500-2509
标识
DOI:10.1021/acssensors.5c04434
摘要
Detection of stem cell exosomes advances our understanding of stem cell biology and offers new pathways for disease treatment and diagnosis. However, the clinical translation is significantly hindered by low yields and the need for time-consuming enrichment. Here, we propose “direct exosome detection (DED)”, an efficient, cost-effective, label-free, and highly specific liquid crystal (LC)-based optical platform that detects trace exosomes in complex media without pre-enrichment. By harnessing the optical amplification effect of LC, the specific binding of exosomes to hexadecyltrimethylammonium bromide (CTAB)-absorbed aptamers triggers a stretch-to-hairpin-like conformational transition of aptamers, causing a planar-to-vertical alignment and, correspondingly, a bright-to-dark optical signal transition in the LC. Molecular dynamics (MD) simulations validate that LC orientational orders and the collective optical responses respond to subtle biochemical binding events and their interaction energies at the LC-aqueous interface, consistent with the experimental results. This DED platform enables ultra-high sensitivity with a detection limit of 9.18 × 103 particles/mL, with an R2 value of 0.9976 for the detection of mesenchymal stem cell (MSC) exosomes, while offering significantly faster detection time within 10 min. The LC-based DED platform also demonstrates robust performance in exosome drug screening and high selectivity in complex clinical samples, including prostate cancer‑derived exosomes. Finally, a smartphone‑integrated portable DED (S-DED) prototype validates the approach for point‑of‑care testing. LC-based DED offers a simple, reliable, and highly sensitive paradigm for trace exosome detection and early disease diagnosis.
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