Award details

A wastewater biosensor enabling detailed COVID-19 population surveillance.

Reference	BB/V017209/1
Principal Investigator / Supervisor	Professor Anastasia Callaghan
Co-Investigators / Co-Supervisors	Professor Neil Boonham, Dr Fay Couceiro, Dr Thomas Howard, Professor Nicolas Locker, Professor John Williams
Institution	University of Portsmouth
Department	Inst of Biomedical and Biomolecular Sc
Funding type	Research
Value (£)	465,919
Status	Completed
Type	Research Grant
Start date	10/11/2020
End date	09/05/2022
Duration	18 months

Abstract

unavailable

Summary

The UK Government is basing its response to the Covid-19 pandemic on scientific evidence and detailed analysis. For example, the COVID19 National Testing Strategy emphasises the critical importance of robust population-wide surveillance programmes (pillar 4) to understand the rate of infection, and how the virus is spreading across the country. This knowledge directly informs critical decision making and pillar 4 is currently reliant on a recently initiated mass population testing programme using weekly/monthly swab testing of up to 300,000 people. This approach is not only invasive and resource intensive, but it also entirely reliant on public compliance, exceptionally expensive (> £125m per annum on public incentives alone) and measuring <0.5% of the population, offers only limited geographical resolution. In contrast, wastewater surveillance has previously been used to detect and mitigate disease outbreaks and recent research has evidenced that SARS-CoV-2 is excreted into the wastewater system, highlighting an easy to access sample source which could yield real-time geographically detailed population level information of COVID-19 prevalence. RT-PCR analysis of wastewater to detect SARS-CoV-2 is possible in the laboratory, but operating this approach regularly at scale across the UKs network of wastewater sites is exceptionally resource intensive. A simple SARS-CoV-2 wastewater monitoring device that can be used by current site personnel, or incorporated into on-site automated wastewater sampling systems, would offer a cost-effective unparalleled source of detailed data on COVID-19 prevalence. Excitingly, this could provide a robust and enduring real-time warning system of local hot spots, as well as a rich dataset from which geographically specific community-level Governmental policies can be determined, future peaks can be detected early and the effectiveness of a large-scale vaccine delivery and countermeasure programmes monitored. Co-designed with industry partners, this grant aims to prove the concept of a SARS-CoV-2 biosensor as a wastewater monitoring device and demonstrate a simple working prototype operating on real wastewater samples. The ability to rapidly deliver a simple working prototype is supported by the high maturity of the underpinning science (the biosensor system builds on previous BBSRC/EPSRC investment) and the project's direct access to The University of Portsmouth's unique Environmental Technology Field Station (ETFS). The ETFS offers research facilities, wastewater samples and appropriate processing technology at a fully-operational wastewater-works. Industry partners are excited about this work and will be actively engaged in the project, particularly the prototype development stage. They are keen to support rapid exploitation and the envisaged pathway to UK impact as a whole, and the realisation of the full benefit, is through the deployment of ~18,000 SARS-CoV-2 monitoring devices across the UK's network of wastewater sites. Looking to the future, the broader application of the monitoring device is enormous. Not only could it be adapted for use on wastewater systems in less-developed countries, but the biosensor system could be altered to respond to viral mutations or other emerging viral threats. Further work would allow it to be deployed to support wider environmental monitoring applications or as a simple detection/diagnostic tool.

Committee	Not funded via Committee
Research Topics	Microbiology, Technology and Methods Development
Research Priority	X – Research Priority information not available
Research Initiative	Covid19 Rapid Response [2020]
Funding Scheme	X – not Funded via a specific Funding Scheme

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