Modelling the growth, survival and death of
            <b>
              <i>Listeria monocytogenes</i>
            </b>

Membré, Jeanne‐Marie; Thurette, J.; Catteau, M

doi:10.1046/j.1365-2672.1997.00367.x

Cited by 65 publications

(32 citation statements)

References 5 publications

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“…An interaction between salt and phenols has been shown in several studies (Leblanc et al, 2000;Membre, Thurette, & Catteau, 1997;Thurette, Membre, Ching, Tailliez, & Catteau, 1998). The growth inhibitory effect on L. monocytogenes is dependent on the salt concentration, i. e. a mixture of 0.002% phenol and 2 or 3% NaCl had no effect, but the same phenol concentration with 4% NaCl led to a significant reduction in growth (Thurette et al, 1998).…”

Section: Saltmentioning

confidence: 94%

The microbiology of cold smoked salmon

Løvdal

2015

Food Control

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Section: Saltmentioning

confidence: 94%

The microbiology of cold smoked salmon

Løvdal

2015

Food Control

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“…Listeria monocytogenes is resistant to drying, can survive up to 2 yr in dry soil and feces, and is capable of growing over a wide range of temperatures, from 4 to 44°C (Membre et al, 1997;Allan et al, 2004). Once the herbage is contaminated by Listeria, its count may increase rapidly after ensiling when the microrganism uses the residual oxygen and the acidic condition characteristics of well-made bales are not yet established (Fenlon and Wilson, 1998).…”

Section: Discussionmentioning

confidence: 99%

Detection, identification, and typing of Listeria species from baled silages fed to dairy cows

Nucera

Grassi

Morra

et al. 2016

Journal of Dairy Science

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Anaerobiosis, critical for successful ensilage, constitutes a challenge in baled silages. The loss of complete anaerobiosis causes aerobic deterioration and silages undergo dry matter and nutrient losses, pathogen growth, and mycotoxin production. Silage may represent an ideal substrate for Listeria monocytogenes, a pathogen of primary concern in several cheeses. The aim of this research was to investigate the occurrence of Listeria in baled silage fed to cows producing milk for a protected designation of origin cheese, and to characterize isolates by repetitive sequence-based PCR. Listeria spp. were detected in 21 silages and L. monocytogenes in 6 out of 80 of the analyzed silages; 67% of positives were found in molded zones. Results of the PCR typing showed genotypic homogeneity: 72.9 and 78.8% similarity between strains of Listeria spp. (n = 56) and L. monocytogenes (n = 24), respectively. Identical profiles were recovered in molded and nonmolded areas, indicating that contamination may have occurred during production. The application of PCR allowed the unambiguous identification of Listeria isolated from baled silages, and repetitive sequence-based PCR allowed a rapid and effective typing of isolates. Results disclose the potential of the systematic typing of Listeria in primary production, which is needed for the understanding of its transmission pathways.

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“…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.…”

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

184

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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Modelling the growth, survival and death of Listeria monocytogenes

Cited by 65 publications

References 5 publications

The microbiology of cold smoked salmon

The microbiology of cold smoked salmon

Detection, identification, and typing of Listeria species from baled silages fed to dairy cows

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

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