Model for the survival of Staphylococcus aureus in nongrowth environments

Whiting, Richard C.; Sackitey, Solomon; Calderone, Steven M.; Morely, K.; Phillips, J. G.

doi:10.1016/0168-1605(96)01002-1

Cited by 85 publications

(33 citation statements)

References 17 publications

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“…A bacterial strain can produce different shapes of survival curves. Frequently, concave curves may become convex or sigmoidal when the intensity of the stress varies (6,7,10,19,24,38,45,47,48). The patterns of survival curves may also vary with the physiological state of the cells and are dependent on the phase of growth (exponential or stationary phase) and also on the conditions of adaptation before the stress (18,25,36).…”

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confidence: 99%

“…Whiting's model involves a sum of two logistic models corresponding to the two subpopulations which are characterized by the difference in their levels of resistance to stress (47). It was used to describe the nonthermal inactivation of Salmonella, Listeria monocytogenes, and Staphylococcus aureus in brain heart infusion (BHI) broth (6,47,48). The main advantage of this model is that it can describe many shapes of inactivation curves often observed in nonthermal inactivation studies.…”

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General Model, Based on Two Mixed Weibull Distributions of Bacterial Resistance, for Describing Various Shapes of Inactivation Curves

Coroller¹,

Leguérinel²,

Mettler³

et al. 2006

Appl Environ Microbiol

179

110

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Cells of Listeria monocytogenes or Salmonella enterica serovar Typhimurium taken from six characteristic stages of growth were subjected to an acidic stress (pH 3.3). As expected, the bacterial resistance increased from the end of the exponential phase to the late stationary phase. Moreover, the shapes of the survival curves gradually evolved as the physiological states of the cells changed. A new primary model, based on two mixed Weibull distributions of cell resistance, is proposed to describe the survival curves and the change in the pattern with the modifications of resistance of two assumed subpopulations. This model resulted from simplification of the first model proposed. These models were compared to the Whiting's model. The parameters of the proposed model were stable and showed consistent evolution according to the initial physiological state of the bacterial population. Compared to the Whiting's model, the proposed model allowed a better fit and more accurate estimation of the parameters. Finally, the parameters of the simplified model had biological significance, which facilitated their interpretation.When thermal or nonthermal inactivation of spores or vegetative microorganisms is considered, the log-linear shape of bacterial survival curves is a particular case among types of curves (12,17,43,49). In the case of nonthermal inactivation caused by unfavorable environmental conditions, the shape of curves indicates more pronounced heterogeneity according to the intensity of the stress. A bacterial strain can produce different shapes of survival curves. Frequently, concave curves may become convex or sigmoidal when the intensity of the stress varies (6,7,10,19,24,38,45,47,48). The patterns of survival curves may also vary with the physiological state of the cells and are dependent on the phase of growth (exponential or stationary phase) and also on the conditions of adaptation before the stress (18,25,36).In order to model nonthermal inactivation curves, a number of primary models have been proposed. Among these models are the vitalistic models proposed by Cole et al. (13,28,39), models describing both growth and inactivation (26,27,32,37,40,41), the modified Gompertz model (24, 32), the exponential model (31), and the log-linear model with latency time (6) and/or with a tail (5). These models cannot deal with all shapes of curves, and most of them are based on log-linear inactivation.Some models can describe non-log-linear decrease or sigmoidal inactivation curves. The Weibull model has largely been used in thermal and nonthermal treatment studies. It is based on the hypothesis that the resistance to stress of a population follows a Weibull distribution (14,19,34,44,45). This type of model can describe linear, concave, or convex curves. It was modified and extended to sigmoidal curves in heat treatment studies (2). The model of Baranyi and Roberts (3) and the model of Geeraerd et al. (17) can describe a linear shape with or without shoulder or tail and sigmoidal shapes (21,22). These models, which can...

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confidence: 99%

mentioning

confidence: 99%

General Model, Based on Two Mixed Weibull Distributions of Bacterial Resistance, for Describing Various Shapes of Inactivation Curves

Coroller¹,

Leguérinel²,

Mettler³

et al. 2006

Appl Environ Microbiol

179

110

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“…E. coli grows optimally at pH between 6.0 and 8.0, can survive at a pH of 9.2, however once the pH reaches 9.4 E. coli is eliminated [50,51]. Similarly, S. aureus optimal pH is also between 6 and 8 but have been shown to survive in vitro up to a pH of 10 [52][53][54]. All extracts exceed the pH necessary to eliminate both bacterial types, however it can be seen that not all samples eliminate bacteria, and for YCe and HCe viability can be affected by dose.…”

Section: Discussionmentioning

confidence: 99%

Investigating the Effect of Glass Ion Release on the Cytocompatibility, Antibacterial Eflcacy and Antioxidant Activity of Y2O3 / CeO2 doped SiO2-SrO-Na2O glasses

et al. 2018

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Abstract:The effect on ion release and cytocompatibility of Yttrium (Y) and Cerium (Ce) are investigated when substituted for Sodium (Na) in a 0.52SiO 2 -0.24SrO-0.24-Na 2 O-MO glass series (where MO = Y 2 O 3 or CeO 2 ). Glass leaching was evaluated through pH measurements and Inductive Coupled Plasma-Optical Emission Spectrometry (ICP-OES) analysis where the extract pH increased during incubation (11.2 -12.5). Ion release of Silicon (Si), Na and Strontium (Sr) from the Con glass was at higher than that of glasses containing Y or Ce, and reached a limit after 1 day. Ion release from Y and Ce containing glasses reached a maximum of 1800 µg/mL, 1800 µg/mL, and 10 µg/mL for Si, Na, and Sr, respectively. Release of Y and Ce was below the ICP-OES detection limit <0.1 µg/mL. Cell viability of both L929 fibroblasts and MC3T3 osteoblasts decreased for Con, LY, and LCe extracts; HY extracts did not significantly decrease cell viability while YCe and HCe saw concentrationdependent viability decrease (20%, 33% extract concentrations). Bacterial studies saw Con and LCe eliminating >75% of bacteria at a 9% extract concentration. Antioxidant capacity (mechanism for neuroprotection) was evaluated using the ABTS assay. All glasses had inherent radical oxygen species (ROS) scavenging capability with Con reaching 9.5 mMTE.

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“…To confirm that our protocol for mol % G + C determination was accurate, we analysed the mol% G -k C from Citrobacter freundii, Pseudomonas aeruginosa,Pseudomonas putida,Salmonella dublin,Bacillus thuringiensis and S. epidermidis. Our values were,in mol %,50,66,61,51,37 and 35,67,[61][62][63]5&53,[34][35][36][37][38][39][40]for C. freundii (28), P. aeruginosa (23), P. putida (23), Salmonella dublin (I%), B. thuringiensis (5) and S. epidermidis (14), respectively. These results are consistent with G + C contents of Staphylococcus (14).…”

Section: Phylogenetic Analysismentioning

confidence: 99%

“…Viable organisms were recovered from cultures exposed to low temperatures (1 10-3 10 K), salt and other desiccating agents (32,37). After exposure to a barrage of protons corresponding to about 250 years in solar space, Staphylococcus aureus showed very high survival rates (1 5).…”

Section: Introductionmentioning

confidence: 99%

Staphylococcus succinus sp. nov., isolated from Dominican amber

Lambert

Cox

Mitchell

et al. 1998

International Journal of Systematic Bacteriology

105

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Two bacterial isolates, designated AMG-D1 and AMG-D2, were recovered from 25-35-million-year-old Dominican amber. AMG-D1 and AMG-D2 biochemically most closely resemble Staphy/ococcus Xylosus; they differ physiologically from other staphylococci. Fatty acid analysis and comparisons with extensive databases were unable to show relatedness to any specific taxon. Moreover, AMG-D1 and AMG-D2 contain tuberculostearic acid and meso-diaminopimelic acid, characteristic of the G+C-rich coryneform bacteria, as opposed to L-lysine characteristic of staphylococci. AMG-DIT and AMG-D2 have a G+C ratio of 35 mol%. Phylogenetic analysis with the 16s rRNA gene indicated that AMG-D I T and AMG-D2 were most closely related to Staphy/ococcus equomm, 5. Xylosus, Staphy/ococcus saprophyticus and other n ovo b i oc i n-res i st a n t staphylococci. Stringent DNA-DNA hybridization studies with AMG-D1 revealed similarities of 38% with S. equonrrn, 23% with S. xylosus and 6% with 5. saprophyticus. The results indicate that AMG-DIT and AMG-D2 represent a novel species, which was named Staphy/ococcus succinus sp. nov. The type strain of the new species is AMG-D1 (ATCC 700337).

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Model for the survival of Staphylococcus aureus in nongrowth environments

Cited by 85 publications

References 17 publications

General Model, Based on Two Mixed Weibull Distributions of Bacterial Resistance, for Describing Various Shapes of Inactivation Curves

General Model, Based on Two Mixed Weibull Distributions of Bacterial Resistance, for Describing Various Shapes of Inactivation Curves

Investigating the Effect of Glass Ion Release on the Cytocompatibility, Antibacterial Eflcacy and Antioxidant Activity of Y2O3 / CeO2 doped SiO2-SrO-Na2O glasses

Staphylococcus succinus sp. nov., isolated from Dominican amber

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