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    Photonic Label-Free Biosensors for Fast and Multiplex Detection of Swine Viral Diseases

    Sensors

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    sensors-22-00708.pdf (3.143MB)
    Data
    2022
    Autor
    Gómez-Gómez, Maribel
    Sánchez, Carles
    Peransi, Sergio
    Zurita, David
    Bellieres, Laurent
    Recuero, Sara
    Rodrigo, Manuel
    Simón, Santiago
    Camarca, Alessandra
    Capo, Alessandro
    Staiano, Maria
    Varriale, Antonio
    D`Auria, Sabato
    Manessis, Georgios
    Gelasakis, Athnasios I.
    Bossis, Ioannis
    Balka, Gyula
    Dénes, Lilla
    Frant, Maciej
    Nannucci, Lapo
    Bonasso, Matteo
    Giusti, Alessandro
    Griol, Amadeu
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    Streszczenie
    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.
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    https://www.mdpi.com/1424-8220/22/3/708/htm
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    DSpace software copyright © 2002-2016  DuraSpace
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