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Understanding the effect of ultraviolet light intensity on disinfection performance through the use of ultraviolet measurements and simulation

Published online by Cambridge University Press:  27 June 2018

Brian M. Tande ,
Todd A. Pringle ,
William A. Rutala ,
Maria F. Gergen  and
David J. Weber
Brian M. Tande*
Affiliation:
Department of Chemical Engineering, Kansas State University, Manhattan, Kansas
Todd A. Pringle
Affiliation:
Materials and Nanotechnology Program, North Dakota State University, Fargo North Dakota
William A. Rutala
Affiliation:
Hospital Epidemiology, University of North Carolina Health Care, Chapel Hill, North Carolina Division of Infectious Diseases, UNC School of Medicine, Chapel Hill, North Carolina
Maria F. Gergen
Affiliation:
Hospital Epidemiology, University of North Carolina Health Care, Chapel Hill, North Carolina
David J. Weber
Affiliation:
Hospital Epidemiology, University of North Carolina Health Care, Chapel Hill, North Carolina Division of Infectious Diseases, UNC School of Medicine, Chapel Hill, North Carolina
*
Author for correspondence: Brian M. Tande, PhD, Associate Professor of Chemical Engineering, Kansas State University, 1011 Durland Hall, 1701A Platt St, Manhattan, KS 66506-5102. E-mail: btande@ksu.edu
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Abstract

We measured the disinfection of MRSA and Clostridium difficile spores using an ultraviolet C (UV-C) device, and we correlated those results to measurements and computer simulations of UV-C surface intensity. The results demonstrate both large differences in UV light intensity across various surfaces and how this leads to significant differences in disinfection.

Type
Concise Communication
Information
Infection Control & Hospital Epidemiology , Volume 39 , Issue 9 , September 2018 , pp. 1122 - 1124
Copyright
© 2018 by The Society for Healthcare Epidemiology of America. All rights reserved. 

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Footnotes

Cite this article: Tande BM, et al. (2018). Understanding the effect of ultraviolet light intensity on disinfection performance through the use of ultraviolet measurements and simulation. Infection Control & Hospital Epidemiology. 2018, 39, 1122–1124. doi: 10.1017/ice.2018.144

References

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