Growth of Listeria monocytogenes, Aeromonas hydrophila, and Yersinia enterocolitica on Vacuum and Saturated Carbon Dioxide Controlled Atmosphere-Packaged Sliced Roast Beef

Hudson, John; Mott, S.J.; Penney, N.

doi:10.4315/0362-028x-57.3.204

Cited by 123 publications

(64 citation statements)

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“…The second one (model #7) was proposed by Koutsoumanis et al (2004) for temperatures ranging from 4 to 30°C, pH ranging from 4AE24 to 6AE58 and water activities ranging from 0AE900 to 0AE993. For the evaluation of these probability models, we considered that growth or no growth were Kaya and Schmidt (1989) 3 3 Grau and Vanderlinde (1990, 1992 88 88 Chen and Shelef (1992) 8 8 Grant et al (1993) 8 8 Hudson and Mott (1993c), Hudson et al (1994) …”

Section: Growth Modelsmentioning

confidence: 99%

Growth rate and growth probability of Listeria monocytogenes in dairy, meat and seafood products in suboptimal conditions

et al. 2005

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Aims: To evaluate the performances of models predicting the growth rate or the growth probability of Listeria monocytogenes in food. Methods and Results: Cardinal and square root type models including or not interactions between environmental factors and probability models were evaluated for their ability to describe the behaviour of L. monocytogenes in liquid dairy products, cheese, meat and seafood products. Models excluding interactions seemed sufficient to predict the growth rate of L. monocytogenes. However, the accurate prediction of growth/no-growth limits needed to take interactions into account. A complete and a simplified form (preservatives deducted) of a new cardinal model including interactions and parameter values were suggested to predict confidence limits for the growth rate of L. monocytogenes in food. This model could also be used for the growth probability prediction. Conclusions: The new cardinal model including interactions was efficient to predict confidence limits for the growth rate of L. monocytogenes and its growth probability in liquid dairy products, meat and seafood products. In cheese, the model was efficient to predict the absence of growth of the pathogen. Significance and Impact of the Study: The suggested model can be used for risk assessment and risk management concerning L. monocytogenes in dairy, meat and seafood products.

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Section: Growth Modelsmentioning

confidence: 99%

Growth rate and growth probability of Listeria monocytogenes in dairy, meat and seafood products in suboptimal conditions

et al. 2005

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“…In the food chain, the bacterium is exposed to various stresses through sanitation, disinfection, heating, cooling, and the addition of food additives and preservatives. L. monocytogenes tolerates a wide variety of stressful conditions and is able to grow at temperatures as low as Ϫ1.5°C (24), in the pH range of 4.3 to 9.6 (17,51), in water activity down to 0.90 (40), and under anaerobic atmospheres (51).…”

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confidence: 99%

Roles of Four Putative DEAD-Box RNA Helicase Genes in Growth of Listeria monocytogenes EGD-e under Heat, pH, Osmotic, Ethanol, and Oxidative Stress Conditions

Markkula

Lindström

Johansson

et al. 2012

Appl Environ Microbiol

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ABSTRACTTo examine the role of the four putative DEAD-box RNA helicase genes ofListeria monocytogenesEGD-e in stress tolerance, the growth of the Δlmo0866, Δlmo1246, Δlmo1450, and Δlmo1722deletion mutant strains at 42.5°C, at pH 5.6 or pH 9.4, in 6% NaCl, in 3.5% ethanol, and in 5 mM H2O2was studied. Restricted growth of the Δlmo0866deletion mutant strain in 3.5% ethanol suggests that Lmo0866 contributes to ethanol stress tolerance ofL. monocytogenesEGD-e. The Δlmo1450mutant strain showed negligible growth at 42.5°C, at pH 9.4, and in 5 mM H2O2and a lower maximum growth temperature than the wild-type EGD-e, suggesting that Lmo1450 is involved in the tolerance ofL. monocytogenesEGD-e to heat, alkali, and oxidative stresses. The altered stress tolerance of the Δlmo0866and Δlmo1450deletion mutant strains did not correlate with changes in relative expression levels oflmo0866andlmo1450genes under corresponding stresses, suggesting that Lmo0866- and Lmo1450-dependent tolerance to heat, alkali, ethanol, or oxidative stress is not regulated at the transcriptional level. Growth of the Δlmo1246and Δlmo1722deletion mutant strains did not differ from that of the wild-type EGD-e under any of the conditions tested, suggesting that Lmo1246 and Lmo1722 have no roles in the growth ofL. monocytogenesEGD-e under heat, pH, osmotic, ethanol, or oxidative stress. This study shows that the putative DEAD-box RNA helicase geneslmo0866andlmo1450play important roles in tolerance ofL. monocytogenesEGD-e to ethanol, heat, alkali, and oxidative stresses.

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“…Growth of Y. enterocolitica was reported in 100% CO 2 on roast beef at 3°C (Hudson et al 1994), lamb at 5°C (Doherty et al 1995;Sheridan and Doherty 1994) and beef (Gill and Reichel 1989), while growth was not detected in lamb in either 100% CO 2 or CO 2 /O 2 (20/80) at 0°C (Doherty et al 1995;Sheridan and Doherty 1994). However, the latter authors also observed multiplication of the same strain at 1°C in an atmosphere of CO 2 /N 2 (50/50).…”

Section: Introductionmentioning

confidence: 98%

Predictive model for the growth of Yersinia enterocolitica under modified atmospheres

Baranyi

Fernando

2000

J Appl Microbiol

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C. PIN, J. BARANYI AND G. GARCÍA DE FE R NA ND O . 2000. A quadratic response surface model is presented to describe the maximum specific growth rate of Yersinia enterocolitica, at refrigeration temperatures, under modified atmospheres. The presence of CO 2 affected mainly the lag phase of the organism. The length of the lag phase increased with higher levels of CO 2 in the atmosphere, and this effect was more noticeable at low temperatures. The effect of oxygen was similar but less pronounced. The observed growth was slower with higher CO 2 . Oxygen also decreased the growth rate, but its effect was significant only when its proportion in the atmosphere was greater than about 40%. Model predictions were compared with growth rates obtained in sea food inoculated with Y. enterocolitica and packaged under modified atmospheres. Predictions were also checked to determine whether they were inside the strict interpolation region of the model.

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Growth of Listeria monocytogenes, Aeromonas hydrophila, and Yersinia enterocolitica on Vacuum and Saturated Carbon Dioxide Controlled Atmosphere-Packaged Sliced Roast Beef

Cited by 123 publications

References 0 publications

Growth rate and growth probability of Listeria monocytogenes in dairy, meat and seafood products in suboptimal conditions

Growth rate and growth probability of Listeria monocytogenes in dairy, meat and seafood products in suboptimal conditions

Roles of Four Putative DEAD-Box RNA Helicase Genes in Growth of Listeria monocytogenes EGD-e under Heat, pH, Osmotic, Ethanol, and Oxidative Stress Conditions

Predictive model for the growth of Yersinia enterocolitica under modified atmospheres

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