The Clinical Environmental Biosafety System: Monitoring the Risk of Nosocomial Infection project (NOSOBIOSAFE) has developed and validated an advanced system for the rapid and precise detection of nosocomial pathogens in hospital air and surfaces.

Throughout the course of the project, an optimized sampling protocol was developed, integrating sample collection through cyclonic samplers with qPCR-based detection. This approach has successfully identified key pathogens such as Staphylococcus aureus, Clostridioides difficile, Aspergillus spp., and various respiratory viruses such as SARS-CoV-2 and Influenza A virus, among others. The assays have shown high specificity and sensitivity, representing a significant breakthrough in controlling the spread of pathogens in clinical environments.

Thanks to the collaborative synergies established with hospitals from the FISABIO network, such as the General University Hospital of Elche, the University Hospital of Torrevieja, and the Virgen de los Lírios Hospital of Alcoy, in addition to the collaboration of Miguel Hernández University, the NOSOBIOSAFE system stands out from existing alternatives on the market due to its ability to provide fast, accurate, and real-time monitoring of nosocomial pathogens. Additionally, it also includes the identification of genetic profiles related to virulence and antibiotic resistance, providing critical information for clinical decision-making. The system’s automation and ease of use allow for seamless integration into routine hospital operations without the need for highly specialized personnel, thus optimizing time and resources.

This research project is fully aligned with the challenges set forth by the Strategic Innovation Committee (CEI) of the European Commission, as its primary goal is the prevention of infections caused by nosocomial pathogens and the development of early detection systems for colonizing microorganisms.

The NOSOBIOSAFE project has received financial support from the Valencian Innovation Agency (AVI), under the Consolidation of the Business Value Chain program (File No. INNCAD/2022/23).