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1.

001-es BibID:BIBFORM081580
Első szerző:Baranyi József (biomatematikus)
Cím:The use of predictive models to optimize risk of decisions / József Baranyi, Nathália Buss da Silva
Dátum:2017
ISSN:0168-1605
Tárgyszavak:Természettudományok Matematika- és számítástudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:International Journal Of Food Microbiology. - 240 (2017), p. 19-23. -
További szerzők:Buss da Silva, Nathália
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2.

001-es BibID:BIBFORM104369
035-os BibID:(WOS)000471123200013 (Scopus)85066064788
Első szerző:Buss da Silva, Nathália
Cím:Optimization of turbidity experiments to estimate the probability of growth for individual bacterial cells / Nathália Buss da Silva, Bruno Augusto Mattar Carciofi, Mariem Ellouze, József Baranyi
Dátum:2019
ISSN:0740-0020
Megjegyzések:Using turbidity measurements to quantify bacterial growth is a common and well-established practice in microbiology. Automated devices offering high throughput analyses have largely contributed to the increase of its use. A main difficulty of this method is that it detects growth only at late exponential phase, making turbidity measurements limited for studies focussing on low cell numbers. This work proposes an improved estimator for the probability of growth of individual cells using turbidity-based measurements, when the initial number of cells is low and random. We modify the currently used estimator for the expected cell number per well, a Poisson-parameter, and show that an optimal scenario is when ca 20% of the wells do not become turbid, resulting in improved accuracy and precision.
Tárgyszavak:Agrártudományok Élelmiszertudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Probability of growth
Estimator
Turbidity
Experimental design
Megjelenés:Food Microbiology. - 83 (2019), p. 109-112. -
További szerzők:Mattar Carciofi, Bruno Augusto Ellouze, Mariem Baranyi József (1956-) (biomatematikus)
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3.

001-es BibID:BIBFORM104367
035-os BibID:(WOS)000624483300001 (Scopus)85101959071
Első szerző:Ellouze, Mariem
Cím:Modeling Bacillus cereus Growth and Cereulide Formation in Cereal-, Dairy-, Meat-, Vegetable-Based Food and Culture Medium / Mariem Ellouze, Nathália Buss Da Silva, Katia Rouzeau-Szynalski, Laura Coisne, Frédérique Cantergiani, József Baranyi
Dátum:2021
ISSN:1664-302X
Megjegyzések:This study describes the simultaneous Bacillus cereus growth and cereulide formation, in culture medium and cereal-, dairy-, meat-, and vegetable-based food matrices. First, bacterial growth experiments were carried out under a wide range of temperatures (from 9 to 45 C), using the emetic reference strain F4810/72, in the above-mentioned matrices. Then, the generated data were put in a modeling framework where the response variable was a vector of two components: the concentration of B. cereus and that of its toxin, cereulide. Both were considered time-, temperature- and matrixdependent. The modeling was carried out in a series of steps: the parameters fitted in one step became the response variable of the following step. Using the square root link function, the maximum specific growth rate of the organism and the time to the appearance of quantifiable cereulide were modeled against temperature by cardinal parameters models (CPM), for each matrix. Finally, a validation study was carried out on an independent data set obtained in the same matrices and using various Bacillus cereus strains. Results showed that both growth and toxin-formation depended on the food matrix and on the environment but not in the same way. Thus, the matrix (culture medium), where the highest growth rate of B. cereus was observed, was not the medium where the shortest time to quantifiable cereulide occurred. While the cerealbased matrix generated the smallest growth rates (0.41-times smaller than culture medium did), quantifiable cereulide appeared in it at earlier times compared to the other tested matrices. In fact, three groups of matrices could be distinguished based on their ability to support cereulide formation (1) the cereal-based matrix (highest), (2) the culture medium and the dairy-based matrix (intermediate), and (3) the meat- and vegetablebased matrices (lowest). This ranking between the matrices is quite different from that based on their suitability to the growth of the organism. Our models can be used in HACCP studies, to improve shelf-life predictions and, generally, microbiological food safety assessments of products for which B. cereus is the main concern.
Tárgyszavak:Agrártudományok Élelmiszertudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:Frontiers in Microbiology. - 12 (2021), p. 1-13. -
További szerzők:Buss da Silva, Nathália Rouzeau-Szynalski, Katia Coisne, Laura Cantergiani, Frédérique Baranyi József (1956-) (biomatematikus)
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4.

001-es BibID:BIBFORM104359
035-os BibID:(WOS)000704698300001 (Scopus)85116585425 (cikkazonosító)755736
Első szerző:Ellouze, Mariem
Cím:Corrigendum: Modeling Bacillus cereus Growth and Cereulide Formation in Cereal-, Dairy-, Meat-, Vegetable-Based Food and Culture Medium / Mariem Ellouze, Nathália Buss Da Silva, Katia Rouzeau-Szynalski, Laura Coisne, Frédérique Cantergiani, József Baranyi
Dátum:2021
ISSN:1664-302X
Tárgyszavak:Agrártudományok Élelmiszertudományok idegen nyelvű folyóiratközlemény hazai lapban
folyóiratcikk
Bacillus cereus
growth
cereulide formation
predictive microbiology
food
culture medium
Megjelenés:Frontiers in Microbiology. - 12 (2021), p. 1. -
További szerzők:Buss da Silva, Nathália Rouzeau-Szynalski, Katia Coisne, Laura Cantergiani, Frédérique Baranyi József (1956-) (biomatematikus)
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5.

001-es BibID:BIBFORM104371
035-os BibID:(WOS)000656754700005 (Scopus)85107390610 (cikkazonosító)109241
Első szerző:Le Marc, Yvan
Cím:A stochastic approach for modelling the effects of temperature on the growth rate of Bacillus cereus sensu lato / Yvan Le Marc, Nathália Buss da Silva, Florence Postollec, Véronique Huchet, József Baranyi, Mariem Ellouze
Dátum:2021
ISSN:0168-1605
Megjegyzések:A stochastic model that predicts the maximum specific growth rate (mu max) of Bacillus cereus sensu lato as a function of temperature was developed. The model integrates the intra-species variability by incorporating distributions of cardinal parameters (Tmin, Topt, Tmax) in the model. Growth rate data were generated for 22 strains, covering 5 major phylogenetic groups of B. cereus, and their cardinal temperatures identified. Published growth rate data were also incorporated in the model fitting, resulting in a set of 33 strains. Based on their cardinal temperatures, we identified clusters of Bacillus cereus strains that show similar response to temperature and these clusters were considered separately in the stochastic model. Interestingly, the ?opt values for psychrotrophic strains were found to be significantly lower than those obtained for mesophilic strains. The model developed within this work takes into account some correlations existing between parameters (mu opt, Tmin, Topt, Tmax). In particular, the relationship highlighted between the b-slope of the Ratkowsky model and Tmin (doi: https://doi.org/10.3389/fmicb.2017.01890) was adapted to the case of the popular Cardinal Temperature Model. This resulted in a reduced model in which ?opt is replaced by a function of Tmin, Topt and 2 strain-independent parameters. A correlation between the Tmin parameter and the experimental minimal growth temperature was also highlighted and integrated in the model for improved predictions near the temperature growth limits. Compared to the classical approach, the model developed in this study leads to improved predictions for temperatures around Tmin and more realistic tails for the predicted distributions of ?max. It can be useful for describing the variability of the Bacillus cereus Group in Quantitative Microbial Risk Assessment (QMRA). An example of application of the stochastic model to Reconstituted Infant Formulae (RIF) was proposed.
Tárgyszavak:Agrártudományok Élelmiszertudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Bacillus cereus
Cardinal temperatures
Stochastic model
Tertiary modelling
Microbial risk assessment
Megjelenés:International Journal Of Food Microbiology. - 349 (2021), p. 1-11. -
További szerzők:Buss da Silva, Nathália Postollec, Florence Huchet, Véronique Baranyi József (1956-) (biomatematikus) Ellouze, Mariem
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6.

001-es BibID:BIBFORM104363
035-os BibID:(WOS)000784288600007 (Scopus)85116157653 (cikkazonosító)109420
Első szerző:Le Marc, Yvan
Cím:The effect of pH on the growth rate of Bacillus cereus sensu lato: Quantifying strain variability and modelling the combined effects of temperature and pH / Yvan Le Marc, Leen Baert, Nathália Buss da Silva, Florence Postollec, Véronique Huchet, József Baranyi, Mariem Ellouze
Dátum:2021
ISSN:0168-1605
Tárgyszavak:Agrártudományok Élelmiszertudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Megjelenés:International Journal Of Food Microbiology. - 360 (2021), p. 1-11. -
További szerzők:Baert, Leen Buss da Silva, Nathália Postollec, Florence Huchet, Véronique Baranyi József (1956-) (biomatematikus) Ellouze, Mariem
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Intézményi repozitóriumban (DEA) tárolt változat
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