Kinetics of UV254 inactivation of selected viral pathogens in a static system

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2011-08-01
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Cutler, T.
Wang, C.
Qin, Q.
Zhou, F.
Warren, K.
Yoon, K.-J.
Hoff, S.
Ridpath, J.
Zimmerman, J.
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Hoff, Steven
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Statistics
As leaders in statistical research, collaboration, and education, the Department of Statistics at Iowa State University offers students an education like no other. We are committed to our mission of developing and applying statistical methods, and proud of our award-winning students and faculty.
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Veterinary Microbiology and Preventive Medicine
Our faculty promote the understanding of causes of infectious disease in animals and the mechanisms by which diseases develop at the organismal, cellular and molecular levels. Veterinary microbiology also includes research on the interaction of pathogenic and symbiotic microbes with their hosts and the host response to infection.
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Abstract

Aims:  The objective of this study was to estimate UV254 inactivation constants for four viral pathogens: influenza virus type A, porcine respiratory and reproductive syndrome virus (PRRSV), bovine viral diarrhoea virus (BVDV) and reovirus.

Methods and Results:  Viruses in culture medium were exposed to one of nine doses of UV254 and then titrated for infectious virus. Analysis showed that viral inactivation by UV254 was more accurately described by a two-stage inactivation model vs a standard one-stage inactivation model.

Conclusions:  The results provided evidence for the existence of two heterogeneous viral subpopulations among the viruses tested, one highly susceptible to UV254 inactivation and the other more resistant. Importantly, inactivation constants based on the one-stage inactivation model would have underestimated the UV254 dose required for the inactivation of these viruses under the conditions of the experiment.

Significance and Impact of the Study:  To improve the accuracy of estimates, it is recommended that research involving the inactivation of micro-organisms evaluates inactivation kinetics using both one-stage and two-stage models. These results will be of interest to persons responsible for microbial agents under laboratory or field conditions.

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This article is from Journal of Applied Microbiology 111 (2011): 389–395, doi:10.1111/j.1365-2672.2011.05046.x. Posted with permission.

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