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Measuring and modeling the influence of relative humidity, temperature, and buffer type on the survival and growth of Enterobacter aerogenes
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Igo, Matthew. Measuring and modeling the influence of relative humidity, temperature, and buffer type on the survival and growth of Enterobacter aerogenes. Retrieved from https://doi.org/doi:10.7282/T38S4TBF

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TitleMeasuring and modeling the influence of relative humidity, temperature, and buffer type on the survival and growth of Enterobacter aerogenes
NameIgo, Matthew (author); Schaffner, Donald (chair); Matthews, Karl (internal member); SALVI, DEEPTI (internal member); Rutgers University; School of Graduate Studies
Date Created2018
Other Date2018-05 (degree)
SubjectFood Science, Enterobacter aerogenes
Extent1 online resource (ix, 45 p. : ill.)
DescriptionSurvival of bacteria on surfaces is an important part in understanding cross-contamination of food. The effects of temperature and relative humidity appear to play important roles in understanding how bacteria survive on surfaces. Surface type and inoculum matrix also appear to influence bacterial survival. This study examines how relative humidity, temperature, and inoculum matrix effected the survival of non-pathogenic Enterobacter aerogenes on common surfaces stainless steel, PVC, and ceramic tile. While surface type seemed to have little effect on survival, temperature showed a clear effect. E. aerogenes survived better at 7°C at 15 and 50% relative humidity on all surfaces. Inoculum matrix composition influenced survival and even allowed growth under some high RH conditions. Cells suspended in distilled water experienced a larger decrease in concentration immediately after inoculation on the surface vs. 0.1% peptone or 1% PBS. Cells suspended in 1% PBS showed a sharper decline in survival after 120 hours compared to 0.1% peptone both 15 and 50% relative humidity but cells in both matrices had similar tailing up to 3 weeks. Cells suspended in 0.1% peptone showed greatest growth and had the highest population density (~8 log CFU/ml) when the organism was inoculated into 10 mL of peptone. Cells suspended in PBS or distilled water showed ~2 log CFU/ml increase in concentration. When cells in 0.1% peptone were inoculated onto a stainless steel coupon and placed at 100% RH, concentration increased to ~7 log CFU/coupon after a lag time of ~24 hours while cells in 1% PBS increased to ~5 log CFU/coupon followed by a decline over 3 weeks. DMFit and GinaFit software could model inactivation on surfaces at all conditions other than 100% RH at 21°C.
NoteM.S.
NoteIncludes bibliographical references
Noteby Matthew Igo
Genretheses, ETD graduate
Persistent URLhttps://doi.org/doi:10.7282/T38S4TBF
Languageeng
CollectionSchool of Graduate Studies Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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