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通过酶簇引发的金纳米聚集体的爆炸式分解实现病毒的超高灵敏可视化。

Ultrasensitive Visualization of Virus via Explosive Catalysis of an Enzyme Muster Triggering Gold Nano-aggregate Disassembly.

机构信息

Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China.

State Key Laboratory of Chemical Oncogenomics, Key Laboratory of Chemical Genomics, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen 518055, China.

出版信息

ACS Appl Mater Interfaces. 2020 Mar 18;12(11):12525-12532. doi: 10.1021/acsami.9b23247. Epub 2020 Mar 9.

DOI:10.1021/acsami.9b23247
PMID:32106677
Abstract

Sensitive and accurate diagnosis of viral infection is important for human health and social safety. Herein, by means of explosive catalysis from an enzyme muster, a powerful naked-eye readout platform has been successfully constructed for ultrasensitive immunoassay of viral entities. Liposomes were used to encapsulate multiple enzymes into an active unit. In addition, its triggered rupture could boost the disassembly of gold nano-aggregates that were cross-linked by peptides with opposite charges. As a result, plasmonically colorimetric signals were rapidly generated for naked-eye observation. Further harnessing the immunocapture, enterovirus 71 (EV71), a class of highly infective virus, was sensitively assayed with a detection limit down to 16 copies/μL. It is superior to the single enzyme-anchored immunoassay system. Most importantly, the colorimetric assay was demonstrated with 100% clinical accuracy, displaying strong anti-interference capability. It is expectable that this sensitive, accurate, and convenient strategy could provide a prospective alternative for viral infection analysis, especially in resource-constrained settings.

摘要

病毒感染的灵敏准确诊断对人类健康和社会安全至关重要。在此,通过酶簇的爆炸式催化,成功构建了用于病毒实体超灵敏免疫分析的强大肉眼读出平台。采用脂质体将多种酶封装到一个活性单元中。此外,其触发的破裂可以促进由带相反电荷的肽交联的金纳米聚集体的解体。结果,金纳米颗粒等离子体颜色信号迅速产生,可用于肉眼观察。进一步利用免疫捕获,灵敏地检测到高度感染性病毒肠道病毒 71(EV71),检测限低至 16 拷贝/μL。该方法优于单酶锚定免疫分析系统。最重要的是,比色分析的临床准确率达到 100%,显示出强大的抗干扰能力。预计这种灵敏、准确、便捷的策略可为病毒感染分析提供一种有前景的替代方法,尤其是在资源有限的情况下。

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