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Nanobiotechnology enabled approaches for wastewater based epidemiology.
Rahman, Asifur; Kang, Seju; Wang, Wei; Garg, Aditya; Maile-Moskowitz, Ayella; Vikesland, Peter J.
  • Rahman A; Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
  • Kang S; Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
  • Wang W; Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
  • Garg A; Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
  • Maile-Moskowitz A; Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
  • Vikesland PJ; Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Trends Analyt Chem ; 143: 116400, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1331269
ABSTRACT
The impacts of the ongoing coronavirus pandemic highlight the importance of environmental monitoring to inform public health safety. Wastewater based epidemiology (WBE) has drawn interest as a tool for analysis of biomarkers in wastewater networks. Wide scale implementation of WBE requires a variety of field deployable analytical tools for real-time monitoring. Nanobiotechnology enabled sensing platforms offer potential as biosensors capable of highly efficient and sensitive detection of target analytes. This review provides an overview of the design and working principles of nanobiotechnology enabled biosensors and recent progress on the use of biosensors in detection of biomarkers. In addition, applications of biosensors for analysis of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus are highlighted as they relate to the potential expanded use of biosensors for WBE-based monitoring. Finally, we discuss the opportunities and challenges in future applications of biosensors in WBE for effective monitoring and investigation of public health threats.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Observational study Language: English Journal: Trends Analyt Chem Year: 2021 Document Type: Article Affiliation country: J.trac.2021.116400

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Diagnostic study / Observational study Language: English Journal: Trends Analyt Chem Year: 2021 Document Type: Article Affiliation country: J.trac.2021.116400