Integration of Microfluidics, Photonic Integrated Circuits and Data Acquisition and Analysis Methods in a Single Platform for the Detection of Swine Viral Diseases

Viral diseases challenge the health and welfare of pigs and undermine the sustainability of swine farms. Their efficient control requires early and reliable diagnosis, highlighting the importance of Point of Care (POC) diagnostics in veterinary practice. The objective of this study was to validate a...

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Autores principales:	Georgios Manessis, Christos Mourouzis, Amadeu Griol, David Zurita-Herranz, Sergio Peransi, Carlos Sanchez, Alessandro Giusti, Athanasios I. Gelasakis, Ioannis Bossis
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Point of Care (POC) diagnostics Photonic Integrated Circuits (PICs) microfluidics Porcine Parvovirus (PPV) Porcine Circovirus 2 (PCV-2) Veterinary medicine SF600-1100 Zoology QL1-991
Acceso en línea:	https://doaj.org/article/40374558af194ac78d947ce7fb172fe7
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spelling	oai:doaj.org-article:40374558af194ac78d947ce7fb172fe72021-11-25T16:18:45ZIntegration of Microfluidics, Photonic Integrated Circuits and Data Acquisition and Analysis Methods in a Single Platform for the Detection of Swine Viral Diseases10.3390/ani111131932076-2615https://doaj.org/article/40374558af194ac78d947ce7fb172fe72021-11-01T00:00:00Zhttps://www.mdpi.com/2076-2615/11/11/3193https://doaj.org/toc/2076-2615Viral diseases challenge the health and welfare of pigs and undermine the sustainability of swine farms. Their efficient control requires early and reliable diagnosis, highlighting the importance of Point of Care (POC) diagnostics in veterinary practice. The objective of this study was to validate a novel POC system that utilizes Photonic Integrated Circuits (PICs) and microfluidics to detect swine viral pathogens using oral fluids and Porcine Parvovirus (PPV) and Porcine Circovirus 2 (PCV-2) as proofs of concept. The sensitivity and specificity of the device were calculated for both viruses, and Receiver Operating Characteristic (ROC) curves were drawn. PPV had an Area Under Curve (AUC) value of 0.820 (95% CI: 0.760 to 0.880, <i>p</i> < 0.0001), and its optimal efficiency threshold of detection shifts was equal to 4.5 pm (68.6% sensitivity, 77.1% specificity and Limit of Detection (LOD) value 10<sup>6</sup> viral copies/mL). PCV-2 had an AUC value of 0.742 (95% CI: 0.670 to 0.815, <i>p</i> < 0.0001) and an optimal efficiency threshold of shifts equal to 6.5 pm (69.5% sensitivity, 70.3% specificity and LOD 3.3 × 10<sup>5</sup> copies/mL). In this work, it was proven that PICs can be exploited for the detection of swine viral diseases. The novel device can be directly deployed on farms as a POC diagnostics tool.Georgios ManessisChristos MourouzisAmadeu GriolDavid Zurita-HerranzSergio PeransiCarlos SanchezAlessandro GiustiAthanasios I. GelasakisIoannis BossisMDPI AGarticlePoint of Care (POC)diagnosticsPhotonic Integrated Circuits (PICs)microfluidicsPorcine Parvovirus (PPV)Porcine Circovirus 2 (PCV-2)Veterinary medicineSF600-1100ZoologyQL1-991ENAnimals, Vol 11, Iss 3193, p 3193 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Point of Care (POC) diagnostics Photonic Integrated Circuits (PICs) microfluidics Porcine Parvovirus (PPV) Porcine Circovirus 2 (PCV-2) Veterinary medicine SF600-1100 Zoology QL1-991
spellingShingle	Point of Care (POC) diagnostics Photonic Integrated Circuits (PICs) microfluidics Porcine Parvovirus (PPV) Porcine Circovirus 2 (PCV-2) Veterinary medicine SF600-1100 Zoology QL1-991 Georgios Manessis Christos Mourouzis Amadeu Griol David Zurita-Herranz Sergio Peransi Carlos Sanchez Alessandro Giusti Athanasios I. Gelasakis Ioannis Bossis Integration of Microfluidics, Photonic Integrated Circuits and Data Acquisition and Analysis Methods in a Single Platform for the Detection of Swine Viral Diseases
description	Viral diseases challenge the health and welfare of pigs and undermine the sustainability of swine farms. Their efficient control requires early and reliable diagnosis, highlighting the importance of Point of Care (POC) diagnostics in veterinary practice. The objective of this study was to validate a novel POC system that utilizes Photonic Integrated Circuits (PICs) and microfluidics to detect swine viral pathogens using oral fluids and Porcine Parvovirus (PPV) and Porcine Circovirus 2 (PCV-2) as proofs of concept. The sensitivity and specificity of the device were calculated for both viruses, and Receiver Operating Characteristic (ROC) curves were drawn. PPV had an Area Under Curve (AUC) value of 0.820 (95% CI: 0.760 to 0.880, <i>p</i> < 0.0001), and its optimal efficiency threshold of detection shifts was equal to 4.5 pm (68.6% sensitivity, 77.1% specificity and Limit of Detection (LOD) value 10<sup>6</sup> viral copies/mL). PCV-2 had an AUC value of 0.742 (95% CI: 0.670 to 0.815, <i>p</i> < 0.0001) and an optimal efficiency threshold of shifts equal to 6.5 pm (69.5% sensitivity, 70.3% specificity and LOD 3.3 × 10<sup>5</sup> copies/mL). In this work, it was proven that PICs can be exploited for the detection of swine viral diseases. The novel device can be directly deployed on farms as a POC diagnostics tool.
format	article
author	Georgios Manessis Christos Mourouzis Amadeu Griol David Zurita-Herranz Sergio Peransi Carlos Sanchez Alessandro Giusti Athanasios I. Gelasakis Ioannis Bossis
author_facet	Georgios Manessis Christos Mourouzis Amadeu Griol David Zurita-Herranz Sergio Peransi Carlos Sanchez Alessandro Giusti Athanasios I. Gelasakis Ioannis Bossis
author_sort	Georgios Manessis
title	Integration of Microfluidics, Photonic Integrated Circuits and Data Acquisition and Analysis Methods in a Single Platform for the Detection of Swine Viral Diseases
title_short	Integration of Microfluidics, Photonic Integrated Circuits and Data Acquisition and Analysis Methods in a Single Platform for the Detection of Swine Viral Diseases
title_full	Integration of Microfluidics, Photonic Integrated Circuits and Data Acquisition and Analysis Methods in a Single Platform for the Detection of Swine Viral Diseases
title_fullStr	Integration of Microfluidics, Photonic Integrated Circuits and Data Acquisition and Analysis Methods in a Single Platform for the Detection of Swine Viral Diseases
title_full_unstemmed	Integration of Microfluidics, Photonic Integrated Circuits and Data Acquisition and Analysis Methods in a Single Platform for the Detection of Swine Viral Diseases
title_sort	integration of microfluidics, photonic integrated circuits and data acquisition and analysis methods in a single platform for the detection of swine viral diseases
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/40374558af194ac78d947ce7fb172fe7
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Integration of Microfluidics, Photonic Integrated Circuits and Data Acquisition and Analysis Methods in a Single Platform for the Detection of Swine Viral Diseases

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