Modelling Microorganisms in Food
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Contents:
International Journal of Food Microbiology , v. A non-autonomous differential equation to model bacterial growth. Food Microbiology , v. A mathematical approach toward defining and calculating the duration of the lag phase. Interaction of sodium nitrite, oxygen and pH on growth of Staphylococcus aureus. Journal of Food Science , v. Use of linear, Weibull, and log-logistic functions to model pressure inactivation of seven foodborne pathogens in milk. Modeling the combined effect of high hydrostatic pressure and mild heat on the inactivation kinetics of Listeria monocytogenes Scott A in whole milk.
Journal of Dairy Science , v. Microbiologia dos alimentos. Modeling Staphylococcus aureus growth and enteroxin production in milk. The effect of NaCl and temperature on the rate and extent of growth of Clostridium botulinum type A in pasteurized pork slurry. Journal of Applied Bacteriology , v. Modelling the effect of the starter culture on the growth of Staphylococcus aureus in milk. Brazilian Journal of Food Technology , v.
Growth and metabolites production by Penicillium brevicompactum in yoghurt. Journal of Bacteriology , v.
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A flexible growth function for empirical use. Journal of Experimental Botany , v.
Predicting the growth and behaviour of microorganisms in food has long been an aim in food microbiology research. In recent years, microbial models have. Predictive food microbiology is a field of study that combines elements of show how the parameters of the primary model vary with environmental conditions.
Predictive modelling of dairy manufacturing processes. International Dairy Journal , v. Revista Higiene Alimentar , v. Predictive modelling of the microbial lag phase: a review. Towards a novel class of predictive microbial growth models. Predictive Modeling of Bacillus cereus spores in farm tank milk during grazing and housing periods.
American Journal of Tropical Medicine and Hygiene , v. Application of predictive microbiology to estimate the number of Bacillus cereus in pasteurized milk at the point of consumption. Modeling of the Bacterial Growth Curve. Applied and Environmental Microbiology , v. Duarte, C. The role of coastal plant communities for climate change mitigation and adaptation. Hoffmann, A. Climate change and evolutionary adaptation. Hughes, T. Catastrophes, phase shifts, and large-scale degradation of a Caribbean coral reef. Bellwood, D. Coral bleaching, reef fish community phase shifts and the resilience of coral reefs.
Hoegh-Guldberg, O. Coral reefs under rapid climate change and ocean acidification. Mumby, P. Thresholds and the resilience of Caribbean coral reefs. Nature , 98— Enochs, I.
Shift from coral to macroalgae dominance on a volcanically acidified reef. De Bakker, D.
Modelling Microorganisms in Food - 1st Edition
Coral Reefs 36 , — Ford, A. Reefs under siege: the rise, putative drivers, and consequences of benthic cyanobacterial mats. Ziegler, M. Bacterial community dynamics are linked to patterns of coral heat tolerance.
Table of Contents
Torda, G. Rapid adaptive responses to climate change in corals.
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- Scientific, information & consultancy services for the food industry.
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Change 7 , — Quigley, K. Springer, Bourne, D. Insights into the coral microbiome: Underpinning the health and resilience of reef ecosystems. Webster, N. Microbial contributions to the persistence of coral reefs.
Hanson, C. Beyond biogeographic patterns: processes shaping the microbial landscape. Zinger, L. Bacterial taxa-area and distance-decay relationships in marine environments. Archer, S. Airborne microbial transport limitation to isolated Antarctic soil habitats.
Microbial food web
Advection shapes Southern Ocean microbial assemblages independent of distance and environment effects. Cavicchioli, R. Microbial ecology of Antarctic aquatic systems. Toxic algal bloom induced by ocean acidification disrupts the pelagic food web. Change 8 , Irreversibly increased nitrogen fixation in Trichodesmium experimentally adapted to elevated carbon dioxide. Schaum, E. Variation in plastic responses to ocean acidification in a globally distributed picoplankton species.
Adaptation of a globally important coccolithophore to ocean warming and acidification. Hoppe, C. Compensation of ocean acidification effects in Arctic phytoplankton assemblages. Highfield, A. Change in Emiliania huxleyi virus assemblage diversity but not in host genetic composition during an ocean acidification mesocosm experiment. Viruses 9 , E41 Flynn, K.
Changes in pH at the exterior surface of plankton with ocean acidification. Traving, S. Increased acidification has a profound effect on the interactions between the cyanobacterium Synechococcus sp. WH and its viruses. Follows, M. Emergent biogeography of microbial communities in a model ocean.
Barton, A. Patterns of diversity in marine phytoplankton. Thomas, M. Global pattern of thermal adaptation in marine phytoplankton. Swan, B.