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Dual strain detection of norovirus GI.1 and GII.4 in food samples using epitope-imprinted polymers

Lookup NU author(s): Amy Dann, Dr Jake McClementsORCiD, Dr Shayan SeyedinORCiD, Professor Mark GeogheganORCiD, Professor Marloes Peeters

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

BackgroundNorovirus is the leading cause of viral gastroenteritis worldwide, contributing to widespread disease and financial burdens. However, current testing methods are unsuitable for on-site analysis, as they typically use biological receptors, require specialized reagents, and skilled technicians. Proactive on-site testing of high-risk food samples is essential to prevent outbreaks, requiring the development of innovative sensor systems.ResultsWe have developed a thermal sensor capable of selectively detecting two recurrent norovirus genotypes, GI.1 and GII.4, within a model food matrix. The sensor uses epitope-imprinted polymer nanoparticles (nanoMIPs) designed from a 10-amino-acid sequence derived from the conserved P1 region of the GI.1 viral capsid. The nanoMIPs demonstrated favorable detection capability to norovirus GI.1 and GII.4 virus-like particles in buffer solutions, achieving detection limits of 1.53 and 2.28 pg/mL, respectively. The selectivity of the nanoMIPs was evaluated against a panel of similar viruses, including murine norovirus, Tulane virus, and bacteriophage MS2, each of which showed a reduced signal. Notably, the sensor achieved rapid detection (30 min) of norovirus GI.1 and GII.4 virus-like particles in contamination prone spinach samples while maintaining comparable detection limits (2.19 pg/mL and 2.69 pg/mL) to spiked buffer solutions.SignificanceThe combination of rapid detection time, dual strain recognition, and simple sample preparation makes this thermal sensor a promising tool for on-site testing in food safety and public health settings. Furthermore, the ability to detect multiple strains using a single ligand represents a significant advantage, enabling the development of straightforward systems capable of detecting various strains in complex environments.


Publication metadata

Author(s): Dann A, Singla P, McClements J, Kim M, Stoufer S, Crapnell RD, Banks CE, Seyedin S, Geoghegan M, Blanford CF, Moore MD, Peeters M

Publication type: Article

Publication status: Published

Journal: Analytica Chimica Acta

Year: 2025

Volume: 1368

Print publication date: 22/09/2025

Online publication date: 18/06/2025

Acceptance date: 12/06/2025

Date deposited: 02/03/2026

ISSN (print): 0003-2670

ISSN (electronic): 1873-4324

Publisher: Elsevier BV

URL: https://doi.org/10.1016/j.aca.2025.344331

DOI: 10.1016/j.aca.2025.344331

Data Access Statement: Data will be made available on request.

Notes: Molecularly imprinted polymers (MIP), Biomimetic sensor, Foodborne illness, Epitope imprinting, NorovirusHeat transfer method (HTM)


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Funding

Funder referenceFunder name
USDA National Institute of Food and Agriculture, AFRI project 2022-67021-36408

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