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Monitoring the Viral Transmission of SARS-CoV-2 in Still Waterbodies Using a Lanthanide-Doped Carbon Nanoparticle-Based Sensor Array.
Alafeef, Maha; Dighe, Ketan; Moitra, Parikshit; Pan, Dipanjan.
  • Alafeef M; Bioengineering Department, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
  • Dighe K; Biomedical Engineering Department, Jordan University of Science and Technology, Irbid 22110, Jordan.
  • Moitra P; Departments of Diagnostic Radiology and Nuclear Medicine and Pediatrics, University of Maryland Baltimore, Health Sciences Facility III, 670 W Baltimore Street, Baltimore, Maryland 21201, United States.
  • Pan D; Department of Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, Interdisciplinary Health Sciences Facility, 1000 Hilltop Circle, Baltimore, Maryland 21250, United States.
ACS Sustain Chem Eng ; 10(1): 245-258, 2022 Jan 10.
Article in English | MEDLINE | ID: covidwho-1616947
ABSTRACT
The latest epidemic of extremely infectious coronavirus disease 2019 (COVID-19) has created a significant public health concern. Despite substantial efforts to contain severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) within a specific location, shortcomings in the surveillance of predominantly asymptomatic infections constrain attempts to identify the epidemiological spread of the virus. Continuous surveillance of wastewater streams, including sewage, offers opportunities to track the spread of SARS-CoV-2, which is believed to be found in fecal waste. To demonstrate the feasibility of SARS-CoV-2 detection in wastewater systems, we herein present a novel facilely constructed fluorescence sensing array based on a panel of three different lanthanide-doped carbon nanoparticles (LnCNPs). The differential fluorescence response pattern due to the counterion-ligand interactions allowed us to employ powerful pattern recognition to effectively detect SARS-CoV-2 and differentiate it from other viruses or bacteria. The sensor results were benchmarked to the gold standard RT-qPCR, and the sensor showed excellent sensitivity (1.5 copies/µL) and a short sample-to-results time of 15 min. This differential response of the sensor array was also explained from the differential mode of binding of the LnCNPs with the surface proteins of the studied bacteria and viruses. Therefore, the developed sensor array provides a cost-effective, community diagnostic tool that could be potentially used as a novel epidemiologic surveillance approach to mitigate the spread of COVID-19.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study Language: English Journal: ACS Sustain Chem Eng Year: 2022 Document Type: Article Affiliation country: Acssuschemeng.1c06066

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study Language: English Journal: ACS Sustain Chem Eng Year: 2022 Document Type: Article Affiliation country: Acssuschemeng.1c06066