Photonic Label-Free Biosensors for Fast and Multiplex Detection of Swine Viral Diseases
Maribel Gómez-Gómez,
Carles Sánchez,
Sergio Peransi,
David Zurita,
Laurent Bellieres,
Sara Recuero,
Manuel Rodrigo,
Santiago Simón,
Alessandra Camarca,
Alessandro Capo,
Maria Staiano,
Antonio Varriale,
Sabato D’Auria,
Georgios Manessis,
Athnasios I. Gelasakis,
Ioannis Bossis,
Gyula Balka,
Lilla Dénes,
Maciej Frant,
Lapo Nannucci,
Matteo Bonasso,
Alessandro Giusti,
Amadeu Griol
Affiliations
Maribel Gómez-Gómez
Nanophotonics Technology Center, Universitat Politècnica de València, 46022 València, Spain
Carles Sánchez
Lumensia Sensors S.L., 46022 València, Spain
Sergio Peransi
Lumensia Sensors S.L., 46022 València, Spain
David Zurita
Nanophotonics Technology Center, Universitat Politècnica de València, 46022 València, Spain
Laurent Bellieres
Nanophotonics Technology Center, Universitat Politècnica de València, 46022 València, Spain
Sara Recuero
Lumensia Sensors S.L., 46022 València, Spain
Manuel Rodrigo
Lumensia Sensors S.L., 46022 València, Spain
Santiago Simón
Lumensia Sensors S.L., 46022 València, Spain
Alessandra Camarca
Institute of Food Science, National Research Conuncil, 83100 Avelino, Italy
Alessandro Capo
Institute of Food Science, National Research Conuncil, 83100 Avelino, Italy
Maria Staiano
Institute of Food Science, National Research Conuncil, 83100 Avelino, Italy
Antonio Varriale
Institute of Food Science, National Research Conuncil, 83100 Avelino, Italy
Sabato D’Auria
Institute of Food Science, National Research Conuncil, 83100 Avelino, Italy
Georgios Manessis
Laboratory of Anatomy and Physiology of Farm Animals, Department of Animal Science, Agricultural University of Athens (AUA), 11855 Athens, Greece
Athnasios I. Gelasakis
Laboratory of Anatomy and Physiology of Farm Animals, Department of Animal Science, Agricultural University of Athens (AUA), 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
Gyula Balka
Department of Pathology, University of Veterinary Medicine, István u. 2, 1078 Budapest, Hungary
Lilla Dénes
Department of Pathology, University of Veterinary Medicine, István u. 2, 1078 Budapest, Hungary
Maciej Frant
Department of Swine Diseases, National Veterinary Research Institute, al. Partyzantow 57, 24-100 Pulawy, Poland
Lapo Nannucci
Dipartimento di Scienze e Tecnologie Agrarie Alimentari Ambientali e Forestali (DAGRI), Università degli Studi di Firenze, 50144 Florence, Italy
Matteo Bonasso
Kontor 46 SaS, 10123 Turin, Italy
Alessandro Giusti
CyRIC, Cyprus Research and Innovation Centre, 2414 Nicosia, Cyprus
Amadeu Griol
Nanophotonics Technology Center, Universitat Politècnica de València, 46022 València, Spain
In this paper we present the development of photonic integrated circuit (PIC) biosensors for the label-free detection of six emerging and endemic swine viruses, namely: African Swine Fever Virus (ASFV), Classical Swine Fever Virus (CSFV), Porcine Reproductive and Respiratory Syndrome Virus (PPRSV), Porcine Parvovirus (PPV), Porcine Circovirus 2 (PCV2), and Swine Influenza Virus A (SIV). The optical biosensors are based on evanescent wave technology and, in particular, on Resonant Rings (RRs) fabricated in silicon nitride. The novel biosensors were packaged in an integrated sensing cartridge that included a microfluidic channel for buffer/sample delivery and an optical fiber array for the optical operation of the PICs. Antibodies were used as molecular recognition elements (MREs) and were selected based on western blotting and ELISA experiments to ensure the high sensitivity and specificity of the novel sensors. MREs were immobilized on RR surfaces to capture viral antigens. Antibody–antigen interactions were transduced via the RRs to a measurable resonant shift. Cell culture supernatants for all of the targeted viruses were used to validate the biosensors. Resonant shift responses were dose-dependent. The results were obtained within the framework of the SWINOSTICS project, contributing to cover the need of the novel diagnostic tools to tackle swine viral diseases.