Integration of Microfluidics, Photonic Integrated Circuits and Data Acquisition and Analysis Methods in a Single Platform for the Detection of Swine Viral Diseases
Georgios Manessis,
Christos Mourouzis,
Amadeu Griol,
David Zurita-Herranz,
Sergio Peransi,
Carlos Sanchez,
Alessandro Giusti,
Athanasios I. Gelasakis,
Ioannis Bossis
Affiliations
Georgios Manessis
Laboratory of Anatomy and Physiology of Farm Animals, Department of Animal Science, Agricultural University of Athens (AUA), Iera Odos 75 Str., 11855 Athens, Greece
Christos Mourouzis
CyRIC, Cyprus Research and Innovation Centre Ltd., 28th Octovriou Ave 72, Off. 301, Engomi, Nicosia 2414, Cyprus
Amadeu Griol
Nanophotonics Technology Center, Universitat Politècnica de València, Camino de Vera s/n Building 8F, 46022 Valencia, Spain
David Zurita-Herranz
Nanophotonics Technology Center, Universitat Politècnica de València, Camino de Vera s/n Building 8F, 46022 Valencia, Spain
Sergio Peransi
Lumensia Sensors S.L., Camino de Vera, s/n, K-Access, Building 8F 3th-Floor, 46022 Valencia, Spain
Carlos Sanchez
Lumensia Sensors S.L., Camino de Vera, s/n, K-Access, Building 8F 3th-Floor, 46022 Valencia, Spain
Alessandro Giusti
CyRIC, Cyprus Research and Innovation Centre Ltd., 28th Octovriou Ave 72, Off. 301, Engomi, Nicosia 2414, Cyprus
Athanasios I. Gelasakis
Laboratory of Anatomy and Physiology of Farm Animals, Department of Animal Science, Agricultural University of Athens (AUA), Iera Odos 75 Str., 11855 Athens, Greece
Ioannis Bossis
Laboratory of Animal Husbandry, Department of Animal Production, School of Agriculture, Faculty of Agriculture, Forestry and Natural Environment, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
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, p 6 viral copies/mL). PCV-2 had an AUC value of 0.742 (95% CI: 0.670 to 0.815, p 5 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.
