Predictive modelling of the microbial lag phase: a review
IAM Swinnen, K Bernaerts, EJJ Dens… - International journal of …, 2004 - Elsevier
This paper summarises recent trends in predictive modelling of microbial lag phenomena.
The lag phase is approached from both a qualitative and a quantitative point of view. First, a …
The lag phase is approached from both a qualitative and a quantitative point of view. First, a …
Microbial growth and isothermal microcalorimetry: growth models and their application to microcalorimetric data
O Braissant, G Bonkat, D Wirz, A Bachmann - Thermochimica Acta, 2013 - Elsevier
Over the last 10 years use of isothermal microcalorimetry in the biological and biomedical
field has been a increasing. Several biomedical applications such as detection and …
field has been a increasing. Several biomedical applications such as detection and …
[图书][B] Practical handbook of microbiology
LH Green, E Goldman - 2021 - books.google.com
Practical Handbook of Microbiology, 4th edition provides basic, clear and concise
knowledge and practical information about working with microorganisms. Useful to anyone …
knowledge and practical information about working with microorganisms. Useful to anyone …
Estimating the bacterial lag time: which model, which precision?
F Baty, ML Delignette-Muller - International journal of food microbiology, 2004 - Elsevier
The objective of this work was to explore the large number of bacterial growth models
recently proposed in the field of predictive microbiology, concerning their capacity to give …
recently proposed in the field of predictive microbiology, concerning their capacity to give …
Comparison of primary models to predict microbial growth by the plate count and absorbance methods
ML Pla, S Oltra, MD Esteban… - BioMed research …, 2015 - Wiley Online Library
The selection of a primary model to describe microbial growth in predictive food
microbiology often appears to be subjective. The objective of this research was to check the …
microbiology often appears to be subjective. The objective of this research was to check the …
Growth curve prediction from optical density data
I Mytilinaios, M Salih, HK Schofield… - International journal of …, 2012 - Elsevier
A fundamental aspect of predictive microbiology is the shape of the microbial growth curve
and many models are used to fit microbial count data, the modified Gompertz and Baranyi …
and many models are used to fit microbial count data, the modified Gompertz and Baranyi …
Biochemical and genetic bases of indole-3-acetic acid (auxin phytohormone) degradation by the plant-growth-promoting rhizobacterium Paraburkholderia …
R Donoso, P Leiva-Novoa, A Zúñiga… - Applied and …, 2017 - Am Soc Microbiol
Several bacteria use the plant hormone indole-3-acetic acid (IAA) as a sole carbon and
energy source. A cluster of genes (named iac) encoding IAA degradation has been reported …
energy source. A cluster of genes (named iac) encoding IAA degradation has been reported …
[HTML][HTML] Formulation of chemically defined media and growth evaluation of Ligilactobacillus salivarius ZJ614 and Limosilactobacillus reuteri ZJ625
Lactic acid bacteria are increasingly becoming important dietary supplements due to their
health benefits when consumed in adequate quantity. The increasing attention on these …
health benefits when consumed in adequate quantity. The increasing attention on these …
[HTML][HTML] Assessing the prediction ability of different mathematical models for the growth of Lactobacillus plantarum under non-isothermal conditions
DA Longhi, F Dalcanton, GMF de Aragão… - Journal of theoretical …, 2013 - Elsevier
Mathematical models taking temperature variations into account are useful in predicting
microbial growth in foods, like meat products, for which Lactobacillus plantarum is a …
microbial growth in foods, like meat products, for which Lactobacillus plantarum is a …
Estimation of Staphylococcus aureus Growth Parameters from Turbidity Data: Characterization of Strain Variation and Comparison of Methods
R Lindqvist - Applied and environmental microbiology, 2006 - Am Soc Microbiol
Turbidity methods offer possibilities for generating data required for addressing
microorganism variability in risk modeling given that the results of these methods …
microorganism variability in risk modeling given that the results of these methods …