TY - JOUR
T1 - Development of quantitative biofilm simulation models considering mass transfer at the liquid-biofilm interface
AU - Watanabe, Takeshi
AU - Tanaka, Fumihiko
AU - Uchino, Toshitaka
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - Two quantitative biofilm simulation models, a deterministic model and a stochastic model with adding the stochastic term for sloughing events, were developed in the present study. Both models considered the effect of mass transfer at the liquid-biofilm interface during biofilm development. Model parameters were estimated experimentally by creating Pseudomonas oleovorans biofilms in polystyrene tubes under different nutrient levels (5%, 2% and 1%) at 5°C. Both models were shown to be well-fitted with time-course changes in bioilm quantity. The stochastic model was especially well-itted with the distribution of bioilm quantity under each culture condition. Moreover, the model parameters reflected properties of the biofilm, such as concentration of nutrients using extracellular polysaccharide, improvement of bioilm forming ability at low substrate concentrations and decrease of the bioilm growth rate. Thus, the models are adequate for bioilm simulations. The models presented are expected to be able to predict time-course changes in bioilm quantity and to enable analysis of experimental data. Additionally, the stochastic model has the potential to estimate not only the distribution of bioilm quantity but also sloughing events, an important concept in food safety.
AB - Two quantitative biofilm simulation models, a deterministic model and a stochastic model with adding the stochastic term for sloughing events, were developed in the present study. Both models considered the effect of mass transfer at the liquid-biofilm interface during biofilm development. Model parameters were estimated experimentally by creating Pseudomonas oleovorans biofilms in polystyrene tubes under different nutrient levels (5%, 2% and 1%) at 5°C. Both models were shown to be well-fitted with time-course changes in bioilm quantity. The stochastic model was especially well-itted with the distribution of bioilm quantity under each culture condition. Moreover, the model parameters reflected properties of the biofilm, such as concentration of nutrients using extracellular polysaccharide, improvement of bioilm forming ability at low substrate concentrations and decrease of the bioilm growth rate. Thus, the models are adequate for bioilm simulations. The models presented are expected to be able to predict time-course changes in bioilm quantity and to enable analysis of experimental data. Additionally, the stochastic model has the potential to estimate not only the distribution of bioilm quantity but also sloughing events, an important concept in food safety.
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U2 - 10.3136/nskkk.58.318
DO - 10.3136/nskkk.58.318
M3 - Article
AN - SCOPUS:80755167974
VL - 58
SP - 318
EP - 323
JO - Nippon Shokuhin Kagaku Kogaku Kaishi
JF - Nippon Shokuhin Kagaku Kogaku Kaishi
SN - 1341-027X
IS - 7
ER -