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Highly sensitive detection of extracellular vesicles on ZnO nanorods integrated microarray chips with cascade signal amplification and portable glucometer readout

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单位: [1]Tongji School of Pharmacy, Huazhong University of Science and Technology, Wuhan 430030, China [2]Department of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan 430060, China [3]Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China [4]Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
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关键词: ZnO-chip Extracellular vesicles Cancer diagnosis Signal amplification Portable glucometer Capture and release

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Extracellular vesicle (EV) has become a type of potential biomarker for cancer diagnosis in liquid biopsy. However, the accurate detection of EVs for large-scale cancer scanning is still challenge due to the low sensi-tivity, high cost, and requirement of large instruments, which impedes their wide applications in clinical trials, especially in resource limited areas. Herein, we report a ZnO nanorods integrated microarray chip (ZnO-chip) for effective capture and sensitive detection of EVs. The ZnO-chip provides abundant binding sites for EVs capture. Meanwhile, the high-ordered hybridization chain reaction and non-ordered enzyme catalytic reaction are collaborated for cascade signal amplification. The oxidized product, glucose, can be read out directly by portable glucometer to realize accurate quantitation of EVs with a linear range of 1.0 x 104 to 8.4 x 107 particles/mu L and a minimal detectable concentration of 3.3 x 103 particles/mu L. Our approach could distinguish cancer patients from healthy individuals, proving the statistically increase of EVs in serums of cancer patients. Finally, we verify that the captured EVs can be released for downstream molecular assays by dissolving ZnO nanorods under slightly acidic condition. We believe our approach has remarkable possibility for the routine screening of cancer patients in clinical trials.

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出版当年[2022]版:
大类 | 1 区 化学
小类 | 1 区 分析化学 1 区 仪器仪表 1 区 电化学
最新[2025]版:
大类 | 1 区 化学
小类 | 1 区 分析化学 1 区 仪器仪表 2 区 电化学
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出版当年[2021]版:
Q1 CHEMISTRY, ANALYTICAL Q1 ELECTROCHEMISTRY Q1 INSTRUMENTS & INSTRUMENTATION
最新[2023]版:
Q1 CHEMISTRY, ANALYTICAL Q1 ELECTROCHEMISTRY Q1 INSTRUMENTS & INSTRUMENTATION

影响因子: 最新[2023版] 最新五年平均 出版当年[2021版] 出版当年五年平均 出版前一年[2020版] 出版后一年[2022版]

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第一作者单位: [1]Tongji School of Pharmacy, Huazhong University of Science and Technology, Wuhan 430030, China
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