Construction of ultrafast-walking stochastic 3D dual-DNA walker nanoprobes for highly sensitive fluorescence detection of extracellular vesicles for cancer diagnosis
{"title":"Construction of ultrafast-walking stochastic 3D dual-DNA walker nanoprobes for highly sensitive fluorescence detection of extracellular vesicles for cancer diagnosis","authors":"Qingyi Liu, Qiongdan Zhang, Ruiyue Zhang, Zichen Wen, Zhijian Yao, Bin Li, Zheng Yang, Jinhui Hu, Wei Wang, Huizhen Wang, Caiyun Peng","doi":"10.1016/j.snb.2025.137578","DOIUrl":null,"url":null,"abstract":"Extracellular vesicles (EVs) serve as a promising biomarker for the early screening and monitoring of cancer through non-invasive testing. However, achieving rapid and sensitive detection of tumor-derived extracellular vesicles (TEVs) remains a significant challenge. In this study, we report an ultrafast-walking stochastic three-dimensional (3D) dual-DNA walker nanoprobes (D-DWN)-based fluorescence biosensor for the detection of EVs. The D-DWN facilitates autonomous movement on AuNP at high speeds, powered by Exo III, which results in the release of fluorophores that act as an analytical signal for the detection of target EVs. Compared to traditional DNA walkers, our proposed D-DWN demonstrates superior reaction kinetics, achieving saturation within 20<!-- --> <!-- -->min. This advancement enables highly sensitive detection of EVs, with a linear response range from 8×10<sup>5</sup> to 1.28×10<sup>7</sup> particles/μL and a limit of detection of 1.18 particles/μL. Furthermore, clinical samples can be analyzed using the D-DWN to differentiate patients with cancer from healthy individuals. This work is anticipated to provide an effective tool for the accurate detection of EVs, offering potential for early cancer diagnosis and postoperative response prediction.","PeriodicalId":425,"journal":{"name":"Sensors and Actuators B: Chemical","volume":"11 1","pages":""},"PeriodicalIF":8.0000,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensors and Actuators B: Chemical","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1016/j.snb.2025.137578","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Extracellular vesicles (EVs) serve as a promising biomarker for the early screening and monitoring of cancer through non-invasive testing. However, achieving rapid and sensitive detection of tumor-derived extracellular vesicles (TEVs) remains a significant challenge. In this study, we report an ultrafast-walking stochastic three-dimensional (3D) dual-DNA walker nanoprobes (D-DWN)-based fluorescence biosensor for the detection of EVs. The D-DWN facilitates autonomous movement on AuNP at high speeds, powered by Exo III, which results in the release of fluorophores that act as an analytical signal for the detection of target EVs. Compared to traditional DNA walkers, our proposed D-DWN demonstrates superior reaction kinetics, achieving saturation within 20 min. This advancement enables highly sensitive detection of EVs, with a linear response range from 8×105 to 1.28×107 particles/μL and a limit of detection of 1.18 particles/μL. Furthermore, clinical samples can be analyzed using the D-DWN to differentiate patients with cancer from healthy individuals. This work is anticipated to provide an effective tool for the accurate detection of EVs, offering potential for early cancer diagnosis and postoperative response prediction.
期刊介绍:
Sensors & Actuators, B: Chemical is an international journal focused on the research and development of chemical transducers. It covers chemical sensors and biosensors, chemical actuators, and analytical microsystems. The journal is interdisciplinary, aiming to publish original works showcasing substantial advancements beyond the current state of the art in these fields, with practical applicability to solving meaningful analytical problems. Review articles are accepted by invitation from an Editor of the journal.