Growth Rate Of Listeria Monocytogenes Research Articles

Exploring the potential of 1,8-cineole from cardamom oil against food-borne pathogens: Antibacterial mechanisms and its application in meat preservation

Food-borne pathogenic bacteria are a major public health concern globally. Traditional control methods using antibiotics have limitations, leading to the exploration of alternative strategies. Essential oils such as cardamom possess antimicrobial properties and have shown efficacy against food-borne pathogenic bacteria. The utilization of essential oils and their bioactive constituents in food preservation is a viable strategy to prolong the shelf-life of food products while ensuring their quality and safety. To the best of our knowledge, there are no studies that have utilized 1,8-cineole (the main active constituent of cardamom essential oil) as a preservative in meat, so this study might be the first to utilize 1,8-cineole as an antibacterial agent in meat preservation. The application of 1,8-cineole had a significant suppressive impact on the growth rate of Listeria monocytogenes, Staphylococcus aureus, Escherichia coli, and Salmonella Typhimurium in meat samples stored for 7 days at 4 °C. Additionally, the surface color of the meat samples was not negatively impacted by the application of 1,8-cineole. The minimum inhibitory concentration was 12.5–25 mg/ml, and the minimum bactericidal concentration was 25–50.0 mg/ml. The bacterial cell membrane may be the target of cardamom, causing leakage of intracellular proteins, ATP, and DNA. The obtained data in this study may pave a new avenue for using 1,8-cineole as a new perspective for dealing with this problem of food-borne pathogens and food preservation, such as meat.

Evaluation of maximum growth rate of Listeria monocytogenes in ready-to-eat fresh-cut papaya and melon

Listeria monocytogenes has been identified on minimally processed fruit and vegetables, and can transmit a severe foodborne disease through the consumption of ready-to-eat (RTE) fresh-cut produce, mostly if the storage conditions are incorrect, and the cold chain is not abided to. The aim of the present work was to evaluate the behaviour of L. monocytogenes in RTE fresh-cut papaya and melon, two low-acid fruits stored in temperature-abuse conditions (10 and 8°C, respectively) during the shelf-life indicated by the producer (7 d). A microbiological challenge test was performed to assess the maximum growth rate (MGR) and the duplication time (Td) of the pathogen, testing three strains separately. We also assessed the behaviour of the indigenous microflora of the fruits. Results demonstrated that papaya and melon were two favourable substrates for L. monocytogenes. The MGR was 0.044 log CFU/g/h with a Td of 6.77 h for papaya, and 0.029 log CFU/g/h with a Td of 10.24 h for melon. The storage of RTE fresh-cut papaya and melon at an abusive temperature above 8°C could encourage the growth of L. monocytogenes with a possible risk to public health.

A fractional mathematical model for listeriosis infection using two kernels

Listeriosis is a life-threatening illness that can be spread through contaminated food. The bacteria responsible for this disease is Listeria monocytogenes. The annual incidence rate ranges from less than one to more than ten per one million persons in different parts of the world. Despite the low incidence of listeriosis, the high mortality rate linked with the disease makes it a major public health problem. In this paper, we present an investigation of a nonlinear fractional mathematical model of listeriosis infection using two fractional kernels. To analyse the existence of the fractional model, we employ the fixed point technique, whereas stability is determined using the Hyers–Ulam analysis. The fractional model is numerically investigated using the Caputo–Fabrizio and Atangana-Baleanu-Caputo fractional kernels. The numerical results reveal that the Mittag- Leffler kernel captures fewer human infections than the exponential kernel. In other simulations, we presented the trajectory impacts of varying environmental transmission rates, the rate of infected human recovery, the rate at which uncontaminated food becomes contaminated, and the net growth rate of Listeria monocytogenes on all the affected compartments. We observed that these parameters in the model give distinct disease pathways (a unique rate of convergence), unlike the integer model. Furthermore, the exponential kernel shows more dynamics of contaminated foods than the Mittag-Leffler kernel, which indicates that an increase in contaminated food could lead to a high spread of listeriosis. Finally, we noticed the reduction in the rate of uncontaminated food becoming contaminated increases the number of recovered individuals.

Initial and Final Cell Concentrations Significantly Influence the Maximum Growth Rate of Listeria monocytogenes in Published Literature Data for Whole Intact Fresh Produce

Listeria monocytogenes has shown the ability to grow on fresh uncut produce; however, the factors that control growth are not well understood. Peer-reviewed journal articles (n = 29) meeting the inclusion criteria and related to the growth of L. monocytogenes on fresh produce were found through university library databases and Google Scholar searches. Growth models were fit to each of the extracted 130 data sets to estimate log CFU per day rates of growth by using the DMFit tool. Multiple linear stepwise regression models for factors influencing growth rate were developed using R software. Factors included were temperature, nutrient level of inoculation buffer, initial cell concentration, final cell concentration, inoculation method, container permeability, and surface characteristics. The full model produced adjusted R2, Akaike information criterion, and root mean square error values of 0.41, 488, and 1.61, respectively. Stepwise regression resulted in a reduced model with parameters for incubation temperature, inoculation buffer type, initial and final cell concentrations, container characteristics, and produce surface characteristics. Model fit statistics improved slightly in the reduced model. A further reduced three-parameter model included storage temperature and initial and final cell concentrations, with interaction terms. This three-parameter model had adjusted R2, Akaike information criterion, and root mean square error values of 0.66, 417, and 1.24, respectively. Incubation temperature (P = 1.00E-09) initial cell concentration (P = 3.05E-12), and final cell concentration (P = 4.17E-09) all had highly significant effects on maximum growth rate. Our findings show the importance of inoculum concentration and produce microbial carrying capacity on the estimated growth rate and highlight the overall importance that temperature has on growth rate. Future experiments should consider initial inoculum concentration carefully when conducting growth studies for L. monocytogenes on whole produce.

Closing gaps for performing a risk assessment on Listeria monocytogenes in ready‐to‐eat (RTE) foods: activity 2, a quantitative risk characterization on L. monocytogenes in RTE foods; starting from the retail stage

Closing gaps for performing a risk assessment on Listeria monocytogenes in ready‐to‐eat (RTE) foods: activity 2, a quantitative risk characterization on L. monocytogenes in RTE foods; starting from the retail stage

Controlling Listeria monocytogenes and Leuconostoc mesenteroides in Uncured Deli-style Turkey Breast Using a Clean Label Antimicrobial.

Interest in natural/organic meat products has resulted in the need to validate the effectiveness of clean label antimicrobials to increase safety and shelf life of these products. A Response Surface Methodology (RSM) was used to investigate the effects of varying levels of moisture, pH, and a commercial "clean-label" antimicrobial (cultured sugar-vinegar blend; CSVB) on the growth rate of Listeria monocytogenes and Leuconostoc mesenteroides in uncured turkey stored at 4 °C for 16 wk. Twenty treatment combinations of moisture (60% to 80%), pH (5.8 to 6.4), and CSVB (2.5% to 5.0%) were evaluated during phase I to develop growth curves for both microbe types, whereas the interactive effects of pH (5.8 to 6.4) and CSVB (0.0 to 4.75) were tested in 16 treatment combinations during Phase II at a single moisture level using L. monocytogenes only. CSVB inhibited L. monocytogenes growth in 14 of the 20 treatments tested in Phase I and in 12 of the 16 treatments in Phase II through 16 and 8 wk, respectively. In contrast, CSVB had little effect on L. mesenteroides, with growth inhibited in only 4 of 20 treatments in Phase I and was therefore not tested further in Phase II. Significant interactions of the RSM design coefficients yielded a predictive model for L. mesenteroides growth rate, but due to lack of growth, no growth rate model was developed for L. monocytogenes. CSVB was found to be an effective antilisteral antimicrobial, while having little effect on a spoilage microorganism.

Development of a model describing the inhibitory effect of selected preservatives on the growth of Listeria monocytogenes in a meat model system

The objective of this study was to evaluate the impact of seven independent factors consisting of sodium nitrite, pH, sodium chloride, sodium acetate, sodium lactate syrup, calcium propionate and a blend of nisin and hop alpha acids on the growth rate of Listeria monocytogenes in ham as a model of ready-to-eat (RTE) meat products. A central composite consisted of seven factors mentioned above was designed and the response surface methodology was applied for creating a mathematic model to predict the growth rate of L. monocytogenes in RTE meat products. Six parameters showed a significant (P ≤ 0.1) influence on the growth rate of L. monocytogenes. Only the blend of nisin and hop alpha acids did not show any significant effect (P > 0.1) in the concentrations used in this study. Increasing concentration of sodium chloride, sodium nitrite, sodium acetate, potassium lactate and calcium propionate in meat reduced bacterial growth rate while increasing pH in meat increased the growth rate of L. monocytogenes. The current mathematical equation will be an important tool in order to reduce the required number of challenge studies performed in order to ensure a safe food product.

The antimicrobial efficacy of Lippia alba essential oil and its interaction with food ingredients.

The objective of this study was to evaluate the antimicrobial potential of Lippia alba essential oil (EOLa) and to investigate the effect of food ingredients on its efficacy. The antimicrobial potential of the oil was determined by the presence or absence of inhibition zones, minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) against Escherichia coli, Listeria innocua, Listeria monocytogenes, Pseudomonas aeruginosa, Salmonella choleraesuis and Staphylococcus aureus. The effect of food ingredients and the pH on the antimicrobial efficacy of oil was assessed by monitoring the maximum growth rate of Listeria monocytogenes in model media. The model media included potato starch (0, 1, 5 or 10%), beef extract (1, 5, 3, 6 or 12%), sunflower oil (0, 5 or 10%) and TSB broth at pH levels of 4, 5, 6 or 7. The EOLa showed efficacy at all concentrations (50%, 25%, 6.25%, 3%, 1.5%, 0.8%, 0.4% and 0.2%) evaluated, against all bacterial species, Gram-positive and Gram-negative. The antimicrobial efficacy of EO was found to be a function of ingredient manipulation. Proteins and lipids had a negative impact on the oil effectiveness, indicating the protective action of both on the microbial specie tested. On the contrary, at the highest concentration of starch (10%), the lower rate growth of L. monocytogenes was detected, therefore indicating a positive effect of carbohydrates on the oil effectivenes. Regarding the pH, the studies showed that the rate of microbial growth increased with increasing pH. It was concluded that the use of EOLa is more effective control pathogenic and spoilage bacteria when applied to starchy foods under an acidic pH.

The Influence of Low Power Microwave Radiation on the Growth Rate of Listeria Monocytogenes

The Influence of Low Power Microwave Radiation on the Growth Rate of Listeria Monocytogenes

Modeling the Physiological State of the Inoculum and CO2 Atmosphere on the Lag Phase and Growth Rate of Listeria monocytogenes

In previous studies, the growth of L. monocytogenes has been modeled under different CO2 headspace concentrations; however, the inoculum cells were always in the stationary phase. In this study, the growth of L. monocytogenes under different CO2 concentrations as affected by the physiological state of the cells was investigated. Exponential-growth-phase, stationary-phase, dried, and starved cells were prepared and inoculated at 5°C into brain heart infusion broths that had been preequilibrated under atmospheres of 0, 20, 40, 60, or 80% CO2 (the balance was N2). Lag-phase duration times (LDTs) and exponential growth rates were determined by enumerating cells at appropriate time intervals and by fitting the data to a three-phase linear function that has a lag period before the initiation of exponential growth. Longer LDTs were observed as the CO2 concentration increased, with no growth observed at 80% CO2. For example, the LDTs for exponential-phase, stationary-phase, starved, and dried cells were 2.21, 8.27, 9.17, and 9.67 days, respectively, under the 40% CO2 atmosphere. In general, exponential-growth-phase cells had the shortest LDT followed by starved cells and stationary-phase cells. Dried cells had the longest LDT. Exponential growth rates decreased as the CO2 concentrations increased. Once exponential growth was attained, no retained differences among the various initial physiological states of the cells for any of the atmospheres were observed in the exponential growth rates. The exponential growth rates under 0, 20, 40, 60, and 80% CO2 averaged 0.39, 0.37, 0.23, 0.23, and 0.0 log CFU/day, respectively. Dimensionless factors were calculated that describe the inhibitory action of CO2 on the LDTs and exponential growth rates for the various physiological states.

젖산나트륨과 키토산을 첨가한 저지방 기능성 소시지의 15℃에서 저장 중 품질 및 저장성 효과

본 연구는 젖산나트륨과 다양한 분자량이 각기 다른 키토산을 저지방 기능성 소시지의 제조 시 첨가하여 15<TEX>$^{\circ}C$</TEX>에서 저장 중 이화학적 및 조직적인 성상과 항균 효과를 조사하기 위해서 실시하였으며 락색소를 첨가하여 아질산염과 대체할 수 있는 발색효과를 나타내는지 알아보기 위하여 실시하였다. 제조한 저지방 기능성 소시지의 일반성분을 분석한 결과 수분 73.7- 76.0, 지방 2.5-2.7 그리고 단백질은 14.3-15.3%의 수준이었다. 각 처리구별 pH는 6.30-6.44 범위였으며 저장기간이 경과함에 따라 감소하는 경향을 보였다. 저분자 키토산(1.5kDa)을 첨가한 처리구의 보수력이 중분자(30-50kDa) 키토산 처리구보다 높았으며 저장기간이 증가함에 따라 증가하였다. 젖산나트륨과 키토산의 첨가에 따른 진공 감량에서의 차이는 없었으며 저장 기간 중에서도 유의적 차이는 보이지 않았다(p>0.05). 키토산 첨가에 의한 명도(L)와 황색도(b)가 낮았으며 락색소를 0.05% 첨가한 처리구의 적색도는 아질산염 150ppm 보다 낮았으나 아질산염 무첨가 처리구보다 높은 값을 나타내었다. 15<TEX>$^{\circ}C$</TEX>에서 저장기간 동안에 명도(L)와 황색도(b)는 차이가 없었으며 적색도는 저장기간이 경과함에 따라 증가하는 경향을 보였다. 젖산나트륨과 중분자 키토산(30-50 kDa)을 첨가한 처리구는 다른 처리구에 비해 모든 조직적 성상에서 높은 값을 나타내었고 탄력성, 검성, 저작성 그리고 응집성에서 저분자(1.5kDa)와 고분자(200kDa)의 처리구보다 높았다(p< 0.05). 저장 기간 중 모든 조직적 성상들이 증가하는 경향을 보였다. 103CFU/g 수준으로 접종한 병원성미생물의 성장도를 살펴보면 Salmonella typhimurium과 Listeria monocytogenes는 아질산염 150ppm을 첨가한 대조구와 무첨가구에서 차이를 보이지 않으나, E. coli O157:H7은 아질산염 150ppm을 첨가한 처리구에서 유의적으로 낮은 성장도를 보였다(p<0.05). 키토산 분자량별로 살펴보면 저분자의 경우 젖산나트륨만 첨가된 것과 비교하여 유의차를 보이지 않아(p>0.05) 상승효과를 보이지 않은 반면 중, 고분자의 경우 젖산나트륨 처리구에 비해 유의성 있게 낮은 미생물 성장도를 보였다(p<0.05). 특히 고분자 처리구는 저분자 키토산에 비해 안정된 미생물 성장도를 보이며, L. monocytogenes에 대해 가장 강한 항균 작용을 보였다(p<0.05). L. monocytogenes는 고분자 키토산 첨가구가 저장 9일째까지 4 log CFU/g 이하의 균수를 유지함으로써, 젖산나트륨 첨가구와 비교하여 2 log CFU/g 이상의 차이를 보이며 가장 뛰어난 항균효과를 보였으나 저장 후기로 갈수록 그 차이가 미미하였다. 결론적으로 젖산나트륨과 키토산을 첨가한 처리구의 항균 효과는 아질산염 150 ppm을 첨가한 대조구보다 훨씬 높았고 다양한 분자량의 키토산 중에서 고분자 키토산이 다른 분자량의 키토산의 처리구들보다 L. monocytogenes에 대한 강한 항균효과를 보였다. 젖산나트륨에 중분자 키토산을 첨가한 처리구는 대부분의 조직적 성상에서 다른 처리구들보다 높았으며 락색소에 의한 발색효과는 아질산염 150 ppm 보다 낮았지만 아질산염 무첨가구에 비해 발색효과가 좋아 일부는 대체가 가능하였으나 완전 대체는 불가능한 것으로 나타났다. This study was performed to measure physicochemical and textural characteristics, and shelf-life effect of low-fat functional sausages(LFFSs) manufactured with sodium lactate(SL, 3.3%), lac pigment and various molecular weights(MWs) of chitosan (Low=1.5 kDa, Med=30-50 kDa and High=200 kDa) during storage at 15<TEX>$^{\circ}C$</TEX> for 18 days. LFFSs had 73.7-76.0% moisture, lower than 3% fat and 14-15% protein, respectively. pH values were 6.05-6.44 and the control(150 ppm, <TEX>$NaNO_2$</TEX>) was the lowest among LFFSs (p<0.05). Increasing storage time decreased pH values, but no differences in pH values were observed up to 6 days of storage (p>0.05). LFFSs containing SL and low MW of chitosan improved water holding capacity (WHC) and different from those with SL and medium-MW chitosan. WHC was decreased with increased storage time and differences of WHC were observed from 18 days of storage. The addition of chitosan reduced both lightness and redness values, as compared to 150 ppm sodium nitrite(SN), and increased storage time decreased yellowness(p<0.05), especially at 12 days of storage. LFFSs with SL and medium-MW chitosan increased most textural properties compared to the control(p<0.05). The addition of SN of 150 ppm in LFFSs retarded microbial growth for E. coli 0157:H7, while those with SL tended to have an antimicrobial effect for Listeria monocytogenes(LM). The growth rate of LM was delayed by addition of various MW of chitosans in LFFSs, especially high MW chitosan, as compared to LFFSs containing SL alone. These results indicated that the functional, textural and antimicrobial effects of LFFSs were improved by addition SL and various MW of chitosan combinations. In addition, 0.05% lac pigment improved the cure color of LFFSs similar to those of 150 ppm SN.

Modeling the Growth of Listeria monocytogenes in Cured Ready-to-Eat Processed Meat Products by Manipulation of Sodium Chloride, Sodium Diacetate, Potassium Lactate, and Product Moisture Content

A central composite second-order response surface design was employed to determine the influences of added sodium chloride (0.8 to 3.6%), sodium diacetate (0 to 0.2%), potassium lactate syrup (0.25 to 9.25%), and finished-product moisture (45.5 to 83.5%) on the predicted growth rate of Listeria monocytogenes in cured ready-to-eat (RTE) meat products. Increased amounts of both sodium diacetate (P < 0.11) and potassium lactate (P < 0.001) resulted in significant reductions in the growth rate constants of L. monocytogenes. Increased finished-product moisture (P < 0.11) significantly increased growth rate constants. The influence of sodium chloride was not statistically significant. The second-order statistical factor for lactate was significant (P < 0.01), but all two-way interactions were not. In general, predicted growth rates exceeded actual growth rates obtained from inoculation studies of four cured RTE meat products (wieners, smoked-cooked ham, light bologna, and cotto salami). The final model will be useful to food technologists in determining formulations that will result in finished cured RTE meat products in which L. monocytogenes is not likely to grow.

Modelling the growth rate of Listeria monocytogenes with a multiplicative type model including interactions between environmental factors

A multiplicative secondary model previously published to describe independently the effects of environmental factors on the growth rate of Listeria monocytogenes ( Augustin and Carlier, 2000) was improved by taking into account interactions between these environmental factors. The proposed model allowed to decrease the rate of fail-safe growth predicted from 13.5% to 12.1% and the rate of fail-dangerous no growth predicted from 16.1% to 7.1%.

A model based on absorbance data on the growth rate of Listeria monocytogenes and including the effects of pH, NaCl, Na-lactate and Na-acetate

A mathematical model was developed for predicting the growth of L. monocytogenes at 9°C in the presence of 70 ppm sodium nitrite, and at different levels of pH (5.5–6.5), sodium chloride (1.0–4.0%), sodium lactate (0–0.5%) and sodium acetate (0–0.6%). Collection of the growth data was done using absorbance measurements in broth cultures and the absorbance measurement was evaluated. The model was compared to the Food MicroModel, and against the growth of L. monocytogenes in a vacuum-packed meat product stored at 9°C. A linear relationship was obtained, for the absorbance data on different dilutions of the inoculum, in the absorbance interval studied. There was also a linear relationship between the values of the maximum specific growth rates derived from the absorbance and the ones derived from viable count measurements; and corrections were made accordingly. The statistical evaluation showed that all the main factors, i.e. pH, sodium chloride, sodium lactate and sodium acetate were statistically significant for the growth rate of L. monocytogenes. Comparison to the Food MicroModel (FMM) showed a slight underprediction for the developed model (bias=0.84). The predictions were, on average, within 20% of the FMM predictions ( n=10). Validation against the observed growth of L. monocytogenes inoculated into an emulsion type of sausage ( n=4) also showed a slight underprediction by the model. The predictions were, on average, 16% below the observed values in the sausage (Bias 0.84, Accuracy 1.26).

Modelling bacterial growth of Listeria monocytogenes as a function of water activity, pH and temperature

Temperature, pH and water activity are important factors controlling the microbiological safety of foods. To describe the growth rate of Listeria monocytogenes in relation to these factors, two equations have been developed. Both equations are based upon the Ratkowsky equation for temperature and growth rate. The first equation predicts growth rate at sub-optimal pH values, sub-optimal temperatures and sub-optimal water activities, the second model predicts growth throughout the entire pH range. The first model may be used to predict growth rates between pH 4.6–6.7, temperature range 5–35°C and a water activity range of 0.95–0.997. The second model is valid throughout the pH range of 4.6–7.4 and the same temperature and water activity range as the first model.