Please use this identifier to cite or link to this item: https://doi.org/10.1371/journal.pone.0177571
Title: Activation and inactivation of Bacillus pumilus spores by kiloelectron volt X-ray irradiation
Authors: Ha T.M.H.
Yong D.
Lee E.M.Y.
Kumar P.
Lee Y.K. 
Zhou W. 
Keywords: Article
Bacillus pumilus
bacterial spore
bacterium colony
curve fitting
first order kinetics model
gamma irradiation
instrument sterilization
kinetics
low energy radiation
nonhuman
prediction
probabilistic model
radiosensitivity
safety procedure
Sapru model
Shull model
X irradiation
Bacillus pumilus
microbial viability
radiation response
theoretical model
X ray
Bacillus pumilus
Dose-Response Relationship, Radiation
Kinetics
Microbial Viability
Models, Theoretical
Spores, Bacterial
X-Rays
Issue Date: 2017
Publisher: Public Library of Science
Citation: Ha T.M.H., Yong D., Lee E.M.Y., Kumar P., Lee Y.K., Zhou W. (2017). Activation and inactivation of Bacillus pumilus spores by kiloelectron volt X-ray irradiation. PLoS ONE 12 (5) : e0177571. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0177571
Abstract: In this study, we investigated the inactivation efficacy of endospore-forming bacteria, Bacillus pumilus, irradiated by low-energy X-rays of different beam qualities. The different lowenergy X-rays studied had cut-off energies of 50, 100 and 150 keV. Bacillus pumilus spores (in biological indicator strips) were irradiated at step doses between 6.5 to 390 Gy. The resulting bacteria populations were then quantified by a pour plate method. Results showed that X-rays of lower energies were more effective in inactivating bacterial spores. In addition, an increment in bacterial population was observed at doses below 13Gy. We attributed this increase to a radiation-induced activation of bacterial spores. Four kinetic models were then evaluated for their prediction of bacterial spore behavior under irradiation. This included: (i) first-order kinetics model; (ii) Shull model; (iii) Sapru model; and (iv) probabilistic model. From R2 and AIC analyses, we noted that the probabilistic model performed the best, followed by the Sapru model. We highlighted that for simplicity in curve fitting the Sapru model should be used instead of the probabilistic model. A 12-log reduction in bacterial population (corresponding to a sterility assurance level of 10-6 as required in the sterilization of medical devices) was computed to be achievable at doses of 1000, 1600 and 2300 Gy for the three different X-ray cut-off energies respectively. These doses are an order in magnitude lesser than that required in gamma irradiation. This highlights the applicability of cheaper and safer table-top X-ray sources for sterilization application. © 2017 Ha et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Source Title: PLoS ONE
URI: https://scholarbank.nus.edu.sg/handle/10635/166010
ISSN: 19326203
DOI: 10.1371/journal.pone.0177571
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