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Food Microbiology

ISSN: 0740-0020

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Datasets associated with articles published in Food Microbiology

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1970
2024
1970 2024
6 results
  • Frequency of isolation and counts data of bacterial and yeast taxa along Spanish-style green olive fermentations in Seville, Spain.
    This dataset contains data related to Spanish-style green olive fermentations in five different table olive processing plants (patios) in the province of Seville, south-west Spain. Culture-dependent techniques were used to characterize the microbiota along the fermentation. Molecular identification of the isolates was achieved through 16S/26S rDNA sequencing of bacteria and yeast, respectively. Table 1 shows the presence and maximum counts (as log10 CFU/ml) reached by up to 89 bacterial and yeast taxa. Data include the patio of origin, the fermenter (up to 10 at each patio) from which samples were taken and the fermentation stage (initial, middle or final) at which sampling took place. This dataset is related to the research article entitled “Microbial biogeography of Spanish-style green olive fermentations in the province of Seville, Spain” (Lucena-Padrós and Ruiz-Barba, 2018. Food Microbiology, submitted).
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  • Data for: Inhibitory activity of phenolic acids against Listeria monocytogenes: deciphering the mechanisms of action using three different models
    Tables of entire datasets obtained, gamma values and predicted µmax for a) p-coumaric acid with model 3, b) ferulic acid with model 3, c) chlorogenic acid with model 2, d) gallic acid with model 2, e) vanillic acid with model 2, f) vanillic acid with model 3, g) p-hydroxybenzoic acid with model 2, h) p-hydroxybenzoic acid with model 3, i) protocatechuic acid with model 2, j) protocatechuic acid with model 3, k) caffeic acid with model 2, l) caffeic acid with model 3
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  • Data for: Enterococcus faecium as a Salmonella surrogate in the thermal processing of wheat flour: influence of water activity at high temperatures
    These two documents are raw data and analyzed data for two main parts of this study: water sorption isotherms of wheat flour at different temperatures, and microbial inactivation kinetics of Salmonella and Enterococcus faecium in wheat flour at three temperatures (75, 80 and 85°C) and three water activity levels (0.30, 0.45, and 0.60, measured at 25°C prior to heat treatments).
    • Dataset
  • Data for: Enterococcus faecium as a Salmonella surrogate in the thermal processing of wheat flour: influence of water activity at high temperatures
    There are two profiles corresponding to water sorption isotherms of wheat flour at various temperatures, and survivor curves of Salmonella and Enterococcus faecium in wheat flour at three temperatures (75, 80, and 85°C) and three water activity levels (0.3, 0.45, and 0.60 measured at 25°C, prior to isothermal treatments).
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  • Data for: Comparing design of experiments and optimal experimental design techniques for modelling the microbial growth rate under static environmental conditions
    MATLAB codes for calculating D-optimal experimental designs of a user-defined secondary model. The following files are included: - demoDoptimal.m: Script that demonstrates the use of the Doptimal-function using the secondary model in secondaryModel.m. - Doptimal.m: Function that returns the optimal experimental conditions. - calculateD.m: Function that calculates the opposite of the determinant, which serves as the objective for the optimisation in Doptimal.m. - secondaryModel.m: Function that calculates the growth rate based on a vector of model parameters and a vector of model inputs.
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  • Data for: Use of biochemical miniaturized galleries, rRNA based lateral flow assay and Real Time PCR for Cronobacter spp. confirmation
    Identification of Cronobacter represent a major challenge for laboratories testing powdered infant formula (PIF). In the present study, two biochemical galleries and three molecular methods have been applied to confirm 276 Cronobacter spp. and non-Cronobacter isolates from different sources. Using the latest database of API 20 E and ID 32 E biochemical miniaturized kits, 53% and 78% of the isolates were identified respectively. From the available results, total accuracy for Cronobacter detection was in 97.3% (API 20 E) and 99.1% (ID 32 E). All three molecular methods based on rRNA based lateral flow, Real Time PCR with hybridization probe and with hydrolysis probe produced an accuracy for Cronobacter spp. confirmation of more than 99%. A pilot concept trial using Next Generation Sequencing (NGS) correctly identified 58 out of 67 isolates (86.5%) in DNA mixtures. These results indicate that the commercially available approaches ID 32 E, rRNA based lateral flow and Real Time PCR are all suitable for Cronobacter confirmation at genus level. NGS may provide an alternative in identification of Cronobacter species in complex mixtures, provided that the in sequence database will be improved.
    • Dataset