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10 results on '"Manessis, Georgios"'

3. SPR-Based Detection of ASF Virus in Cells

Author

Capo, Alessandro, primary, Calabrese, Alessia, additional, Frant, Maciej, additional, Walczak, Marek, additional, Szczotka-Bochniarz, Anna, additional, Manessis, Georgios, additional, Bossis, Ioannis, additional, Staiano, Maria, additional, D’Auria, Sabato, additional, and Varriale, Antonio, additional

Published
2022
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5. Point-of-Care and Label-Free Detection of Porcine Reproductive and Respiratory Syndrome and Swine Influenza Viruses Using a Microfluidic Device with Photonic Integrated Circuits

Author

Manessis, Georgios, primary, Frant, Maciej, additional, Wozniakowski, Grzegorz, additional, Nannucci, Lapo, additional, Benedetti, Martina, additional, Denes, Lilla, additional, Gyula, Balka, additional, Gelasakis, Athanasios I., additional, Squires, Clare, additional, Recuero, Sara, additional, Sanchez, Carlos, additional, Griol, Amadeu, additional, Giusti, Alessandro, additional, and Bossis, Ioannis, additional

Published
2022
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6. Photonic Label-Free Biosensors for Fast and Multiplex Detection of Swine Viral Diseases

Author

Gómez-Gómez, Maribel, primary, Sánchez, Carles, additional, Peransi, Sergio, additional, Zurita, David, additional, Bellieres, Laurent, additional, Recuero, Sara, additional, Rodrigo, Manuel, additional, Simón, Santiago, additional, Camarca, Alessandra, additional, Capo, Alessandro, additional, Staiano, Maria, additional, Varriale, Antonio, additional, D’Auria, Sabato, additional, Manessis, Georgios, additional, Gelasakis, Athnasios I., additional, Bossis, Ioannis, additional, Balka, Gyula, additional, Dénes, Lilla, additional, Frant, Maciej, additional, Nannucci, Lapo, additional, Bonasso, Matteo, additional, Giusti, Alessandro, additional, and Griol, Amadeu, additional

Published
2022
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7. Integration of Microfluidics, Photonic Integrated Circuits and Data Acquisition and Analysis Methods in a Single Platform for the Detection of Swine Viral Diseases

Author

Manessis, Georgios, primary, Mourouzis, Christos, additional, Griol, Amadeu, additional, Zurita-Herranz, David, additional, Peransi, Sergio, additional, Sanchez, Carlos, additional, Giusti, Alessandro, additional, Gelasakis, Athanasios I., additional, and Bossis, Ioannis, additional

Published
2021
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8. Integration of Microfluidics, Photonic Integrated Circuits and Data Acquisition and Analysis Methods in a Single Platform for the Detection of Swine Viral Diseases

Author

Universitat Politècnica de València. Instituto Universitario de Tecnología Nanofotónica - Institut Universitari de Tecnologia Nanofotònica, COMISION DE LAS COMUNIDADES EUROPEA, Manessis, Georgios, Mourouzis, Christos, Griol Barres, Amadeu, Zurita-Herranz, David, Peransi, Sergio, Sánchez, Carlos, Giusti, Alessandro, Gelasakis, Anathasios I., Bossis, Ioannis, Universitat Politècnica de València. Instituto Universitario de Tecnología Nanofotónica - Institut Universitari de Tecnologia Nanofotònica, COMISION DE LAS COMUNIDADES EUROPEA, Manessis, Georgios, Mourouzis, Christos, Griol Barres, Amadeu, Zurita-Herranz, David, Peransi, Sergio, Sánchez, Carlos, Giusti, Alessandro, Gelasakis, Anathasios I., and Bossis, Ioannis

Abstract

[EN] Simple Summary: The control of several swine viral diseases relies mainly on evidence-based prevention protocols due to the lack of effective treatments or vaccines. To design these protocols, laboratory investigation of viral infections is critical to confirm their occurrence and determine their epizootiology. However, laboratory confirmation of certain swine viral diseases is a time-consuming and labor-intensive process, requiring scientific personnel with relevant expertise. Point-of-Care (POC) diagnostics are tests and devices that provide clinically relevant information on-site, facilitating decision-makers to swiftly take countermeasures for disease control. In the present study, novel photonic biosensors were integrated into a single, automated POC device that can record and analyze changes in the sensors' refractive index, allowing the detection of Porcine Parvovirus (PPV) and Porcine Circovirus 2 (PCV-2) in oral fluids within 75 min. The objective of this work was to validate this device using reference and field samples (oral fluids). The system was able to detect PPV and PCV-2 in oral fluid samples satisfactorily. The device can be directly deployed in farms for the fast diagnosis of these diseases, contributing to farm biosecurity.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.

Published
2021

10. Label-Free Detection of African Swine Fever and Classical Swine Fever in the Point-of-Care Setting Using Photonic Integrated Circuits Integrated in a Microfluidic Device.

Author

Manessis G, Frant M, Podgórska K, Gal-Cisoń A, Łyjak M, Urbaniak K, Woźniakowski G, Denes L, Balka G, Nannucci L, Griol A, Peransi S, Basdagianni Z, Mourouzis C, Giusti A, and Bossis I

Abstract

Swine viral diseases have the capacity to cause significant losses and affect the sector's sustainability, a situation further exacerbated by the lack of antiviral drugs and the limited availability of effective vaccines. In this context, a novel point-of-care (POC) diagnostic device incorporating photonic integrated circuits (PICs), microfluidics and information, and communication technology into a single platform was developed for the field diagnosis of African swine fever (ASF) and classical swine fever (CSF). The device targets viral particles and has been validated using oral fluid and serum samples. Sensitivity, specificity, accuracy, precision, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) were calculated to assess the performance of the device, and PCR was the reference method employed. Its sensitivities were 80.97% and 79%, specificities were 88.46% and 79.07%, and DOR values were 32.25 and 14.21 for ASF and CSF, respectively. The proposed POC device and PIC sensors can be employed for the pen-side detection of ASF and CSF, thus introducing novel technological advancements in the field of animal diagnostics. The need for proper validation studies of POC devices is highlighted to optimize animal biosecurity.

Published
2024
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