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- W1982680707 abstract "A number of scientists active in planetary quarantine have questioned the logarithmic extrapolation of microbial survivor curves over non-measurable ranges to obtain thermal sterilization cycles for spacecraft applications (DAvIEs and HOROWITZ, 1966; GEmER et al., 1965; JAFFE, 1963). If observed non-logarithmic survival is the result of either sampling errors or population inhomogeneity, then sterilization cycles can safely be set by extrapolation after the curve has entered its final linear phase. If nonlogarithmic survival is an intrinsic function of the organism itself, then conceivably gross errors can result from such extrapolation. This communication briefly describes a model based on chemical reaction kinetics in which non-logarithmic survival is inherent in the organism. Results are compared to data for Bacillus coagulans. Assume that microbes die independently, there is no reproduction, and the exposed population is homogeneous. Then, the expected population at time t is given by E [X (t)] = X (0) p (t) where X(0) is the initial population and p (t) is the probability of single spore survival to time t. Assume that in a thermal environment, microbial deaths result from chemical reactions which activate one or more of N independent death mechanisms, i.e., the microbe contains N vital systems such that survival depends on all N being functional. Then, the probability of single microbe survival to time t is given by" @default.
- W1982680707 created "2016-06-24" @default.
- W1982680707 creator A5050822348 @default.
- W1982680707 date "1968-03-01" @default.
- W1982680707 modified "2023-10-16" @default.
- W1982680707 title "On logarithmic extrapolation of microbial survivor curves for planetary quarantine requirements" @default.
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- W1982680707 doi "https://doi.org/10.1007/bf00924237" @default.
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