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Multiplexed colorimetric detection of SARS-CoV-2 and other pathogens in wastewater on a 3D printed integrated microfluidic chip

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”) m...

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Autores principales: Yin, Kun, Ding, Xiong, Xu, Zhiheng, Li, Ziyue, Wang, Xingyu, Zhao, Hui, Otis, Clifford, Li, Baikun, Liu, Changchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8183101/
https://www.ncbi.nlm.nih.gov/pubmed/34121812
http://dx.doi.org/10.1016/j.snb.2021.130242
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author Yin, Kun
Ding, Xiong
Xu, Zhiheng
Li, Ziyue
Wang, Xingyu
Zhao, Hui
Otis, Clifford
Li, Baikun
Liu, Changchun
author_facet Yin, Kun
Ding, Xiong
Xu, Zhiheng
Li, Ziyue
Wang, Xingyu
Zhao, Hui
Otis, Clifford
Li, Baikun
Liu, Changchun
author_sort Yin, Kun
collection PubMed
description 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.
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spelling pubmed-81831012021-06-07 Multiplexed colorimetric detection of SARS-CoV-2 and other pathogens in wastewater on a 3D printed integrated microfluidic chip Yin, Kun Ding, Xiong Xu, Zhiheng Li, Ziyue Wang, Xingyu Zhao, Hui Otis, Clifford Li, Baikun Liu, Changchun Sens Actuators B Chem Article 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. Elsevier B.V. 2021-10-01 2021-06-07 /pmc/articles/PMC8183101/ /pubmed/34121812 http://dx.doi.org/10.1016/j.snb.2021.130242 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Yin, Kun
Ding, Xiong
Xu, Zhiheng
Li, Ziyue
Wang, Xingyu
Zhao, Hui
Otis, Clifford
Li, Baikun
Liu, Changchun
Multiplexed colorimetric detection of SARS-CoV-2 and other pathogens in wastewater on a 3D printed integrated microfluidic chip
title Multiplexed colorimetric detection of SARS-CoV-2 and other pathogens in wastewater on a 3D printed integrated microfluidic chip
title_full Multiplexed colorimetric detection of SARS-CoV-2 and other pathogens in wastewater on a 3D printed integrated microfluidic chip
title_fullStr Multiplexed colorimetric detection of SARS-CoV-2 and other pathogens in wastewater on a 3D printed integrated microfluidic chip
title_full_unstemmed Multiplexed colorimetric detection of SARS-CoV-2 and other pathogens in wastewater on a 3D printed integrated microfluidic chip
title_short Multiplexed colorimetric detection of SARS-CoV-2 and other pathogens in wastewater on a 3D printed integrated microfluidic chip
title_sort multiplexed colorimetric detection of sars-cov-2 and other pathogens in wastewater on a 3d printed integrated microfluidic chip
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8183101/
https://www.ncbi.nlm.nih.gov/pubmed/34121812
http://dx.doi.org/10.1016/j.snb.2021.130242
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