{"title":"用于病毒蛋白酶和核酸检测的双响应量子点生物传感器。","authors":"Qing Zhang, , , Ai-Xin Ma, , , Jia-Xuan Chen, , , Yao Cheng, , , Qing-Qing Ye, , , Shu-Lin Liu, , , Zhi-Gang Wang*, , and , Dai-Wen Pang*, ","doi":"10.1021/acs.analchem.5c04514","DOIUrl":null,"url":null,"abstract":"<p >The ongoing circulation of SARS-CoV-2 and seasonal influenza viruses poses significant diagnostic challenges due to overlapping clinical symptoms and the risk of coinfections. Current detection methods, such as RT-qPCR and immunoassays, face limitations, including time-consuming protocols, the inability to differentiate viable viruses, and poor suitability for <i>in vivo</i> imaging. To address this, we developed a quantum dot-based Förster resonance energy transfer (FRET) biosensor (QDB) for the simultaneous detection of SARS-CoV-2 and influenza viruses. The biosensor exploits the specific cleavage of the SARS-CoV-2 main protease and the recognition of influenza viral RNA to produce distinct fluorescence signals. The dual-response biosensor offers rapid response, high specificity, membrane permeability, and biocompatible detection, supporting both <i>in vitro</i> detection and potential <i>in vivo</i> imaging. By modifying the recognition elements, this platform is readily adaptable for multiplexed detection of diverse pathogens, offering significant potential for clinical diagnostics and therapeutic guidance.</p>","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"97 39","pages":"21697–21706"},"PeriodicalIF":6.7000,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Dual-Response Quantum Dot Biosensor for Viral Protease and Nucleic Acid Detection\",\"authors\":\"Qing Zhang, , , Ai-Xin Ma, , , Jia-Xuan Chen, , , Yao Cheng, , , Qing-Qing Ye, , , Shu-Lin Liu, , , Zhi-Gang Wang*, , and , Dai-Wen Pang*, \",\"doi\":\"10.1021/acs.analchem.5c04514\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >The ongoing circulation of SARS-CoV-2 and seasonal influenza viruses poses significant diagnostic challenges due to overlapping clinical symptoms and the risk of coinfections. Current detection methods, such as RT-qPCR and immunoassays, face limitations, including time-consuming protocols, the inability to differentiate viable viruses, and poor suitability for <i>in vivo</i> imaging. To address this, we developed a quantum dot-based Förster resonance energy transfer (FRET) biosensor (QDB) for the simultaneous detection of SARS-CoV-2 and influenza viruses. The biosensor exploits the specific cleavage of the SARS-CoV-2 main protease and the recognition of influenza viral RNA to produce distinct fluorescence signals. The dual-response biosensor offers rapid response, high specificity, membrane permeability, and biocompatible detection, supporting both <i>in vitro</i> detection and potential <i>in vivo</i> imaging. By modifying the recognition elements, this platform is readily adaptable for multiplexed detection of diverse pathogens, offering significant potential for clinical diagnostics and therapeutic guidance.</p>\",\"PeriodicalId\":27,\"journal\":{\"name\":\"Analytical Chemistry\",\"volume\":\"97 39\",\"pages\":\"21697–21706\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2025-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analytical Chemistry\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acs.analchem.5c04514\",\"RegionNum\":1,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, ANALYTICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.analchem.5c04514","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
A Dual-Response Quantum Dot Biosensor for Viral Protease and Nucleic Acid Detection
The ongoing circulation of SARS-CoV-2 and seasonal influenza viruses poses significant diagnostic challenges due to overlapping clinical symptoms and the risk of coinfections. Current detection methods, such as RT-qPCR and immunoassays, face limitations, including time-consuming protocols, the inability to differentiate viable viruses, and poor suitability for in vivo imaging. To address this, we developed a quantum dot-based Förster resonance energy transfer (FRET) biosensor (QDB) for the simultaneous detection of SARS-CoV-2 and influenza viruses. The biosensor exploits the specific cleavage of the SARS-CoV-2 main protease and the recognition of influenza viral RNA to produce distinct fluorescence signals. The dual-response biosensor offers rapid response, high specificity, membrane permeability, and biocompatible detection, supporting both in vitro detection and potential in vivo imaging. By modifying the recognition elements, this platform is readily adaptable for multiplexed detection of diverse pathogens, offering significant potential for clinical diagnostics and therapeutic guidance.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.