Nothing Special   »   [go: up one dir, main page]

Esener et al., 1982 - Google Patents

Modeling of bacterial growth; formulation and evaluation of a structured model

Esener et al., 1982

View PDF
Document ID
14717290853614652698
Author
Esener A
Veerman T
Roels J
Kossen N
Publication year
Publication venue
Biotechnology and bioengineering

External Links

Snippet

Abstract Models which consider changes in the composition of biomass in response to environmental changes are called Structured models. They provide a more comprehensive description of microbial behavior than unstructured models. Compared with the unstructured …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations

Similar Documents

Publication Publication Date Title
Esener et al. Modeling of bacterial growth; formulation and evaluation of a structured model
Koch Bacterial growth and form
Hastings Structured models of metapopulation dynamics
Rosenberg Simulation of genetic populations with biochemical properties
Ramkrishna et al. Dynamics of microbial propagation: models considering inhibitors and variable cell composition
Bajpai et al. A mechanistic model for penicillin production
Bader Analysis of double‐substrate limited growth
Yoon et al. Competition for mixed substrates by microbial populations
Heins et al. Experimental and in silico investigation of population heterogeneity in continuous Sachharomyces cerevisiae scale‐down fermentation in a two‐compartment setup
Rosenberg Stimulation of genetic populations with biochemical properties: I. the model
Olson Jr et al. Whole-plant modelling: a continuous-time Markov (CTM) approach
Hatzimanikatis Nonlinear metabolic control analysis
Zhang et al. Stationary moments, distribution conjugation and phenotypic regions in stochastic gene transcription
Shapiro et al. On the possibility of sustained oscillations, multiple steady states, and asymmetric steady states in multicell reaction systems
Prosser et al. Use of finite difference method to study a model system of nitrification at low substrate concentrations
Verhoff et al. A mechanism of microbial cell growth
Tanzer et al. The coupling of phosphate accumulation to acid production by a non-growing streptococcus
Greenberg et al. Observations and modeling of growth of immobilized microcolonies of luminous E. coli
Weinberg et al. Computer simulation of a living cell: Part I
Orrell et al. Feedback control of stochastic noise in the yeast galactose utilization pathway
Di Serio et al. Quantitative analysis of the key factors affecting yeast growth
Latter et al. Migration and mutation in stochastic models of gene frequency change. II. Stochastic migration with a finite number of islands
Ryszczuk et al. Evaluation of mammalian fed-batch cultivations by two different models
Ranta Some controllability aspects of microbial growth processes based on the biomass age distribution
Fu et al. Integration of mathematical modelling and knowledge-based systems for simulations of biochemical processes