Current state-of-the-art diagnostics for Norovirus detection: Model approaches for point-of-care analysis

Maja A. Zaczek-Moczydlowska; Azadeh Beizaei; Michael Dillon; Katrina Campbell

doi:10.1016/j.tifs.2021.06.027

Current state-of-the-art diagnostics for Norovirus detection: Model approaches for point-of-care analysis

Maja A. Zaczek-Moczydlowska
, Azadeh Beizaei
, Michael Dillon
, Katrina Campbell^*

^*Corresponding author for this work

Peninsula Medical School

Queen's University Belfast
EirGen Pharma Ltd

Research output: Contribution to journal › Article › peer-review

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Original language	English
Pages (from-to)	684-695
Number of pages	0
Journal	Trends in Food Science and Technology
Volume	114
Issue number	0
Early online date	18 Jun 2021
DOIs	https://doi.org/10.1016/j.tifs.2021.06.027
Publication status	Published - Aug 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1016/j.tifs.2021.06.027

2021 Zaczek-Moczydlowska et alAccepted author manuscript, 2.21 MBLicence: CC BY-NC-SA

Cite this

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title = "Current state-of-the-art diagnostics for Norovirus detection: Model approaches for point-of-care analysis",

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AU - Zaczek-Moczydlowska, Maja A.

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AU - Campbell, Katrina

PY - 2021/8

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UR - https://pearl.plymouth.ac.uk/pms-research/756/

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JO - Trends in Food Science and Technology

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Current state-of-the-art diagnostics for Norovirus detection: Model approaches for point-of-care analysis

UN SDGs

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