Yin Kun, Ding Xiong, Xu Zhiheng, Li Ziyue, Wang Xingyu, Zhao Hui, Otis Clifford, Li Baikun, Liu Changchun
Department of Biomedical Engineering, University of Connecticut Health Center, Farmington, CT, 06030, USA.
Department of Civil & Environmental Engineering, University of Connecticut, Storrs, CT, 06269-3037, USA.
Sens Actuators B Chem. 2021 Oct 1;344:130242. doi: 10.1016/j.snb.2021.130242. Epub 2021 Jun 7.
Severe acute respiratory coronavirus 2 (SARS-CoV-2) pandemic has become a global public health emergency. The detection of SARS-CoV-2 and human enteric pathogens in wastewater can provide an early warning of disease outbreak. Herein, a sensitive, multiplexed, colorimetric detection (termed "SMCD") method was established for pathogen detection in wastewater samples. The SMCD method integrated on-chip nucleic acid extraction, two-stage isothermal amplification, and colorimetric detection on a 3D printed microfluidic chip. The colorimetric signal during nucleic acid amplification was recorded in real-time and analyzed by a programmed smartphone without the need for complicated equipment. By combining two-stage isothermal amplification assay into the integrated microfluidic platform, we detected SARS-CoV-2 and human enteric pathogens with sensitivities of 100 genome equivalent (GE)/mL and 500 colony-forming units (CFU)/mL, respectively, in wastewater within one hour. Additionally, we realized smart, connected, on-site detection with a reporting framework embedded in a portable detection platform, which exhibited potential for rapid spatiotemporal epidemiologic data collection regarding the environmental dynamics, transmission, and persistence of infectious diseases.
严重急性呼吸综合征冠状病毒2(SARS-CoV-2)大流行已成为全球突发公共卫生事件。对废水中SARS-CoV-2和人类肠道病原体的检测可为疾病暴发提供早期预警。在此,建立了一种灵敏、多重、比色检测(称为“SMCD”)方法用于废水样本中病原体的检测。SMCD方法集成了芯片上核酸提取、两步等温扩增以及在3D打印微流控芯片上的比色检测。核酸扩增过程中的比色信号实时记录,并由编程的智能手机进行分析,无需复杂设备。通过将两步等温扩增检测整合到集成微流控平台中,我们在一小时内分别以100基因组当量(GE)/mL和500菌落形成单位(CFU)/mL的灵敏度检测了废水中的SARS-CoV-2和人类肠道病原体。此外,我们通过嵌入便携式检测平台的报告框架实现了智能、联网的现场检测,这在快速收集关于传染病的环境动态、传播和持久性的时空流行病学数据方面展现出潜力。