Modeling of the Bacterial Growth Curve

Zwietering, M.H.; Jongenburger, I.; Rombouts, F.M.; Riet, K. van ’t

doi:10.1128/aem.56.6.1875-1881.1990

Cited by 3,608 publications

(1,922 citation statements)

References 15 publications

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“…The sigmoidal function was chosen to fit growth curves because it can simulate the growth rate changes after the exponential phase. The apparent specific growth rate, pappr can be treated as an average growth rate indicator, in which all of the growth-rateaffecting factors, excluding the amount of unused medium, are lumped for the whole growth curve (Zwietering et al, 1990). The estimated apparent specific growth rates are listed in Table 2.…”

Section: Resultssupporting

confidence: 91%

“…Three parallel runs for each a-MG concentration were performed to allow a statistical analysis. A logistic model (Zwietering et al, 1990) given by the following equation was used to estimate the apparent specific growth rate from the experimental data: where x is the optical density measured at 600 nm, xm is the estimated final cell density, and pa, is the apparent specific growth rate. The sigmoidal function was chosen to fit growth curves because it can simulate the growth rate changes after the exponential phase.…”

Section: Resultsmentioning

confidence: 99%

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Effect of Modulated Glucose Uptake on High‐Level Recombinant Protein Production in a Dense Escherichia coli Culture

Chou

Bennett

San

1994

Biotechnology Progress

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Methyl alpha-glucoside (alpha-MG) is a metabolically inert glucose analog sharing the same phosphotransferase system with glucose. The potential of using this compound, which acts as a nontoxic competitive inhibitor, to modulate glucose uptake and subsequently reduce the acetate accumulation rate was investigated. In a complex medium, no significant effect on the growth rate was observed when the alpha-MG to glucose ratio was low. The effect of alpha-MG supplementation on the production of a model recombinant protein, CadA-beta-galactosidase, under the regulation of a pH-inducible promoter in a batch culture was also examined. It was observed that the amount of acetate accumulation was drastically reduced in the presence of alpha-MG. More importantly, recombinant protein productivity was significantly improved. A very high volumetric productivity of approximately 1.6 g/L recombinant protein in a dense culture with an OD600 of 35 was obtained in a simple batch fermentation. Even at this high cell density, the specific protein productivity was maintained at a high level and was estimated to account for about 40% of the total cellular protein.

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Section: Resultssupporting

confidence: 91%

Section: Resultsmentioning

confidence: 99%

Effect of Modulated Glucose Uptake on High‐Level Recombinant Protein Production in a Dense Escherichia coli Culture

Chou

Bennett

San

1994

Biotechnology Progress

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“…To obtain values of ci (or ebj ) and K Z (or K Z ) , the integrated Michaelis-Menten equation was fitted to these data with nonlinear regression based on the Marquardt algorithm. 33 Values for ci and ebj were also determined independently from the initial part of the plot. Both methods gave identical results.…”

Section: Activity Measurementsmentioning

confidence: 99%

Effects of diffusion limitation on immobilized nitrifying microorganisms at low temperatures

Wijffels

Englund

Hunik

et al. 1995

Biotech & Bioengineering

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Activation energies of suspended and immobilized nitrifying bacteria were determined and compared to determine if diffusion limitation results in decreased sensitivity for temperature. The activation energy for the respiration activity of suspended Nitrosomonas europaea and Nitrobacter agilis was found to be 86.4 and 58.4 kJ mol(-1), respectively. The activation energy for oxygen diffusion in the support material, kappa-carrageenan, determined from the effect of temperature on the effective diffusion coefficient (D), was 17.2 kJ mol(-1). Consequently, the apparent actvation energy of diffusion limited cells should be lower. It was indeed shown that due to the effect of diffusion limitation and to temperature effects on the Monod constant K(s), the immobilized-cell activity was less sensitive to temperature. The apparent activation energy for immobilized Ns. europaea was between 28.6 and 94.2 kJ mol(-1) and for immobilized Nb. agilis between 1.4 and 72.9 kJ mol(-1), depending on the oxygen concentration and temperature. (c) 1995 John Wiley & Sons, Inc.

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“…The required time t res , for the pathogen population in the reservoir to replicate and reach a sufficient value to cause infections, depends on a range of environmental and microbiological factors specific to the pathogen under investigation. Methods to estimate this time and its distribution are beyond the scope of this Review; here we simple mention some mechanistic approaches and a separate published review for temperature-driven bacterial growth in food and in water drinking systems [49][50][51][52][53]. The required time t exp , for susceptible individuals to be infected after being exposed to the pathogen reservoir, depends on the particular route of transmission and type of exposure.…”

Section: ) What Are the Methods Limitations For Analysing Climate Andmentioning

confidence: 99%

Challenges in developing methods for quantifying the effects of weather and climate on water-associated diseases: A systematic review

et al. 2017

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Infectious diseases attributable to unsafe water supply, sanitation and hygiene (e.g. Cholera, Leptospirosis, Giardiasis) remain an important cause of morbidity and mortality, especially in low-income countries. Climate and weather factors are known to affect the transmission and distribution of infectious diseases and statistical and mathematical modelling are continuously developing to investigate the impact of weather and climate on water-associated diseases. There have been little critical analyses of the methodological approaches. Our objective is to review and summarize statistical and modelling methods used to investigate the effects of weather and climate on infectious diseases associated with water, in order to identify limitations and knowledge gaps in developing of new methods. We conducted a systematic review of English-language papers published from 2000 to 2015. Search terms included concepts related to water-associated diseases, weather and climate, statistical, epidemiological and modelling methods. We found 102 full text papers that met our criteria and were included in the analysis. The most commonly used methods were grouped in two clusters: process-based models (PBM) and time series and spatial epidemiology (TS-SE). In general, PBM methods were employed when the bio-physical mechanism of the pathogen under study was relatively well known (e.g. Vibrio cholerae); TS-SE tended to be used when the specific environmental mechanisms were unclear (e.g. Campylobacter). Important data and methodological challenges emerged, with implications for surveillance and control of water-associated infections. The most common limitations comprised: non-inclusion of key factors (e.g. biological mechanism, demographic heterogeneity, human behavior), reporting bias, poor data quality, and collinearity in exposures. Furthermore, the methods often did not distinguish among the multiple sources of time-lags (e.g. patient physiology, reporting bias, healthcare access) between environmental drivers/exposures and disease detection. Key areas of future research include: disentangling the complex effects of weather/climate on each exposure-health outcome pathway (e.g. person-to-person vs environment-to-person), and linking weather data to individual cases longitudinally.

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Modeling of the Bacterial Growth Curve

Cited by 3,608 publications

References 15 publications

Effect of Modulated Glucose Uptake on High‐Level Recombinant Protein Production in a Dense Escherichia coli Culture

Effect of Modulated Glucose Uptake on High‐Level Recombinant Protein Production in a Dense Escherichia coli Culture

Effects of diffusion limitation on immobilized nitrifying microorganisms at low temperatures

Challenges in developing methods for quantifying the effects of weather and climate on water-associated diseases: A systematic review

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