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快速、准确地诊断以及及时对感染严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的患者进行隔离被认为是抗击新冠病毒肺炎(COVID-19)大流行的最有效的措施.本文介绍了一款高通量、多指标的等温扩增检测平台(RTisochipTM-W),该平台使用离心式微流控芯片,在90 min内即可完成一次运行,从16个样本中检测出包括SARS-CoV-2在内的19种常见呼吸道病毒.通过RTisochipTM-W系统检测的所有病毒的检出限均等于或小于50拷贝· μL?1,与常规逆转录聚合酶链反应(RT-PCR)灵敏度相当.该系统具有重复性好、鲁棒性强和特异性高的优点.最后,使用RTisochipTM-W系统对201例临床前样本、14例COVID-19阳性临床样本、25例临床确诊样本以及614例来自呼吸道感染或疑似感染的患者的临床样本进行了测试.测试结果与临床诊断结果吻合良好,也反映出呼吸道传染病的流行特征.在对SARS-CoV-2的诊断上,RTisochipTM-W系统与参考试剂盒的一致性达到98.15％.基于大量的测试结果,我们相信RTisochipTM-W系统是一款抗击COVID-19大流行的强有力工具.“,”Fast and accurate diagnosis and the immediate isolation of patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are regarded as the most effective measures to restrain the coronavirus disease 2019 (COVID-19) pandemic. Here, we present a high-throughput, multi-index nucleic acid isothermal amplification analyzer (RTisochipTM-W) employing a centrifugal microfluidic chip to detect 19 common respiratory viruses, including SARS-CoV-2, from 16 samples in a single run within 90 min. The limits of detection of all the viruses analyzed by the RTisochipTM-W system were equal to or less than 50 copies·μL-1, which is comparable to those of conventional reverse transcription polymerase chain reaction. We also demonstrate that the RTisochipTM-W system possesses the advantages of good repeatability, strong robustness, and high specificity. Finally, we analyzed 201 cases of preclinical samples, 14 cases of COVID-19-positive samples, 25 cases of clinically diagnosed samples, and 614 cases of clinical samples from patients or suspected patients with respiratory tract infections using the RTisochipTM-W system. The test results matched the referenced results well and reflected the epidemic characteristics of the respiratory infectious diseases. The coincidence rate of the RTisochipTM-W with the referenced kits was 98.15％ for the detection of SARS-CoV-2. Based on these extensive trials, we believe that the RTisochipTM-W system provides a powerful platform for fighting the COVID-19 pandemic. ? 2020 THE AUTHORS. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and