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Evaluation of an Ultraviolet C (UVC) Light-Emitting Device for Disinfection of High Touch Surfaces in Hospital Critical Areas
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Implementation of environmental cleaning and disinfection has been shown to reduce the incidences of healthcare-associated infections. The effect of an enhanced strategy for terminal room disinfection, applying the pulsed xenon-based ultraviolet light no-touch disinfection systems (PX-UVC) after the current standard operating protocol (SOP) was evaluated. In a teaching hospital, the effectiveness in reducing the total bacterial count (TBC) and in eliminating high-concern microorganisms was assessed on five high-touch surfaces in different critical areas, immediately pre- and post-cleaning and disinfection procedures (345 sampling sites). PX-UVC showed only 18% (15/85) of positive samples after treatment compared to 63% (72/115) after SOP. The effectiveness of PX-UVC was also observed in the absence of manual cleaning and application of a chemical disinfectant. According to the hygienic standards proposed by the Italian Workers Compensation Authority, 9 of 80 (11%) surfaces in operating rooms showed TBC ≥15 CFU/24 cm2 after the SOP, while all samples were compliant applying the SOP plus PX-UVC disinfection. Clostridium difficile (CD) spores and Klebsiella pneumoniae (KPC) were isolated only after the SOP. The implementation of the standard cleaning and disinfection procedure with the integration of the PX-UVC treatment had effective results in both the reduction of hygiene failures and in control environmental contamination by high-concern microorganisms.
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“In studies investigating the efficacy, UV has been shown to have a high capacity to kill microbes found on humans with elevated times of exposure needed to inactivate particularly resilient organisms, such as anthrax spores, C. difficile and P. aeruginosa biofilms [119,120,121].”
From Biologically-Based and Physiochemical Life Support and In Situ Resource Utilization for Exploration of the Solar System—Reviewing the Current State and Defining Future Development Needs (2021) · cites this paper as [121]
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Metadata
- Authors
- Casini, B., Tuvo, B., Cristina, M. L., Spagnolo, A. M., Totaro, M., Baggiani, A., & Privitera, G. P.
- Affiliations
- University of Pisa (IT)
- University of Genoa (IT)
- Corresponding author
- Casini, Beatrice
- ORCID
- Venue
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Published
- 2019-09-24
- Volume
- 16
- Issue
- 19
- Pages
- 3572
- ISSN
- 1660-4601 (ISSN-L)
- PMC
- PMC6801766
- OpenAlex
- W2975163792
- Cited by
- 185
- References
- 37
- Citations by year
- 2026: 5 · 2025: 12 · 2024: 21 · 2023: 41 · 2022: 31 · 2021: 49 · 2020: 26
- FWCI
- 20.31
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- International Journal of Environmental Research and Public Health (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- CINECA IRIS Institutial Research Information System (University of Genoa) (submittedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › Infection Control in Healthcare
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Infection Control and Ventilation
- Life Sciences › Immunology and Microbiology › Microbiology › Medical Device Sterilization and Disinfection
- Keywords
- UV-C disinfection, environmental cleaning, high-touch surfaces, nosocomial infections, operating room, total bacterial count, Clostridium difficile, Klebsiella pneumoniae, hospital hygiene, disinfectant efficacy
- MeSH terms
- Cross Infection, Disinfection, Hospitals, Teaching, Humans, Italy, Klebsiella pneumoniae, Operating Rooms, Ultraviolet Rays, Xenon, Clostridioides difficile, Bacterial Load
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
