Literature DB >> 34166087

Effect of ultraviolet-C light on the environmental bacterial bioburden in various veterinary facilities.

Katrina L Browne, James D Crowley, Christopher J Tan, Christopher B O'Sullivan, William R Walsh.   

Abstract

OBJECTIVE: To determine the effect of a mobile UV-C disinfection device on the environmental bacterial bioburden in veterinary facilities. SAMPLES: 40 swab samples of surfaces from the operating theaters of 3 veterinary hospitals and 1 necropsy laboratory. PROCEDURES: Various surfaces were swabbed, and collected material was eluted from the swabs in PBSS. Then, an aliquot of the sample fluid was processed with a bacteria-specific rapid metabolic assay to quantify bacterial bioburden. Each site was then treated with UV-C light with an automated disinfection device for approximately 45 minutes. The same surfaces were swabbed following UV-C treatment, and bioburden was quantified. The bioburden at additional time points, including after a second UV-C treatment, was determined for the small animal operating theater.
RESULTS: All surfaces at all sites had a persistent viable bacterial population following manual cleaning. Disinfection with UV-C achieved a mean bioburden reduction of 94% (SD, 5.2%; range, 91% to 95%) for all surfaces, compared with manual disinfection alone. Repeated UV-C treatment of the small animal operating theater reduced mean bioburden by 99% (SD, 0.8%), including no detectable bacteria on 4 of 10 surfaces. CONCLUSIONS AND CLINICAL RELEVANCE: Disinfection with UV-C light may be a beneficial adjunct method for terminal disinfection of veterinary operating theaters to reduce environmental bioburden. (Am J Vet Res 2021;82:582-588).

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Year:  2021        PMID: 34166087     DOI: 10.2460/ajvr.82.7.582

Source DB:  PubMed          Journal:  Am J Vet Res        ISSN: 0002-9645            Impact factor:   1.156


  1 in total

1.  A Practical Assessment of the Disinfectant Efficacy of UV Light with and without Ozone Using a Novel Transfer Hatch in a Research Animal Facility.

Authors:  Jiao-Jiao Qiao; Jing-Jing Li; Chun-Hui Li; Yong Qi; Li-Yu Chen; Shan-Ni Wang; Paul E Honess; Yun-Bo Liu; Chen Zhang; Qing-Xia Liu; Bin Yi; Chang-Qing Gao
Journal:  J Am Assoc Lab Anim Sci       Date:  2022-04-07       Impact factor: 1.706

  1 in total

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