School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Parker H. Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
ACS Sens. 2021 Sep 24;6(9):3204-3213. doi: 10.1021/acssensors.1c00702. Epub 2021 Sep 15.
Severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) is still spreading around the globe causing immense public health and socioeconomic problems. As the infection can progress with mild symptoms that can be misinterpreted as the flu, self-testing methods that can positively identify SARS-CoV-2 are needed to effectively track and prevent the transmission of the virus. In this work, we report a point-of-care toolkit for multiplex molecular diagnosis of SARS-CoV-2 and influenza A and B viruses in saliva samples. Our assay is physically programmed to run a sequence of chemical reactions on a paper substrate and internally generate heat to drive these reactions for an autonomous extraction, purification, and amplification of the viral RNA. Using our assay, we could reliably detect SARS-CoV-2 and influenza viruses at concentrations as low as 50 copies/μL visually from a colorimetric analysis. The capability to autonomously perform a traditionally labor-intensive genetic assay on a disposable platform will enable frequent, on-demand self-testing, a critical need to track and contain this and future outbreaks.
严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)仍在全球范围内传播,造成巨大的公共卫生和社会经济问题。由于感染可能伴有轻微症状,容易被误诊为流感,因此需要能够阳性识别 SARS-CoV-2 的自我检测方法,以有效跟踪和预防病毒传播。在这项工作中,我们报告了一种即时护理工具包,用于在唾液样本中对 SARS-CoV-2 和流感 A 和 B 病毒进行多重分子诊断。我们的检测方法在物理上被编程在纸基上运行一系列化学反应,并在内部产生热量,以驱动这些反应,从而自主提取、纯化和扩增病毒 RNA。使用我们的检测方法,我们可以通过比色分析从视觉上可靠地检测到低至 50 拷贝/μL 的 SARS-CoV-2 和流感病毒。在一次性平台上自主执行传统上劳动密集型遗传检测的能力将使按需频繁的自我检测成为可能,这是跟踪和控制此次和未来疫情爆发的关键需求。