Fuzzy control of baker's yeast fed-batch bioprocess: A robustness study

1994 ◽  
Vol 27 (2) ◽  
pp. 145-153 ◽  
Author(s):  
M. Mahjoub ◽  
R. Mosrati ◽  
M. Lamotte ◽  
C. Fonteix ◽  
I. Marc
Keyword(s):  
Fuzzy Control ◽  
Baker’S Yeast ◽  
Baker's Yeast ◽  
Fed Batch

Functional state modeling and fuzzy control of fed-batch aerobic baker's yeast process

1994 ◽  
Vol 37 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Xia-Chang Zhang ◽  
Arto Visala ◽  
Aarne Halme ◽  
Pekka Linko
Keyword(s):  
Fuzzy Control ◽  
Functional State ◽  
Baker’S Yeast ◽  
Baker's Yeast ◽  
Fed Batch ◽  
Baker's Yeast Process

A Structured Model of Baker's Yeast Fed-batch Growth

1992 ◽  
Vol 25 (2) ◽  
pp. 223-226 ◽  
Author(s):  
P. Dantigny ◽  
K. Ziouras ◽  
J.A. Howell
Keyword(s):  
Baker’S Yeast ◽  
Baker's Yeast ◽  
Fed Batch ◽  
Structured Model ◽  
Batch Growth

scholarly journals Improving Industrial Full-Scale Production of Baker's Yeast by Optimizing Aeration Control

2008 ◽  
Vol 91 (3) ◽  
pp. 607-613 ◽  
Author(s):  
Carlos A Blanco ◽  
Julia Rayo ◽  
José M Giralda
Keyword(s):  
Dissolved Oxygen ◽  
Baker’S Yeast ◽  
Scale Production ◽  
Baker's Yeast ◽  
Fed Batch ◽  
Concentration Data ◽  
Metabolite Formation ◽  
Yeast Saccharomyces Cerevisiae ◽  
Lineal Regression ◽  
Yeast Concentration

Abstract This work analyzes the control of optimum dissolved oxygen of an industrial fed-batch procedure in which baker's yeast (Saccharomyces cerevisiae) is grown under aerobic conditions. Sugar oxidative metabolism was controlled by monitoring aeration, molasses flows, and yeast concentration in the propagator along the later stage of the propagation, and keeping pH and temperature under controlled conditions. A large number of fed-batch growth experiments were performed in the tank for a period of 16 h, for each of the 3 manufactured commercial products. For optimization and control of cultivations, the growth and metabolite formation were quantified through measurement of specific growth and ethanol concentration. Data were adjusted to a model of multiple lineal regression, and correlations representing dissolved oxygen as a function of aeration, molasses, yeast concentration in the broth, temperature, and pH were obtained. The actual influence of each variable was consistent with the mathematical model, further justified by significant levels of each variable, and optimum aeration profile during the yeast propagation was found.

A straightforward logistic method for feeding a fed-batch baker's yeast culture

2012 ◽  
Vol 60 ◽  
pp. 36-43 ◽  
Author(s):  
Daniel Borowiak ◽  
Tadeusz Miśkiewicz ◽  
Witold Miszczak ◽  
Edmund Cibis ◽  
Małgorzata Krzywonos
Keyword(s):  
Baker’S Yeast ◽  
Yeast Culture ◽  
Baker's Yeast ◽  
Fed Batch ◽  
Logistic Method

Optimisation of Operating Conditions in Fed-Batch Baker’s Yeast Fermentation

2013 ◽  
Vol 34 (1) ◽  
pp. 175-186 ◽  
Author(s):  
Ilknur Atasoy ◽  
Mehmet Yuceer ◽  
Ridvan Berber
Keyword(s):  
Baker’S Yeast ◽  
Point Of View ◽  
Operating Conditions ◽  
Batch Processes ◽  
Yeast Fermentation ◽  
Baker's Yeast ◽  
Fed Batch ◽  
Economic Competition ◽  
Dynamic Optimisation ◽  
Alcohol Formation

Abstract Saccharamyces cerevisia known as baker’s yeast is a product used in various food industries. Worldwide economic competition makes it a necessity that industrial processes be operated in optimum conditions, thus maximisation of biomass in production of saccharamyces cerevisia in fedbatch reactors has gained importance. The facts that the dynamic fermentation model must be considered as a constraint in the optimisation problem, and dynamics involved are complicated, make optimisation of fed-batch processes more difficult. In this work, the amount of biomass in the production of baker’s yeast in fed-batch fermenters was intended to be maximised while minimising unwanted alcohol formation, by regulating substrate and air feed rates. This multiobjective problem has been tackled earlier only from the point of view of finding optimum substrate rate, but no account of air feed rate profiles has been provided. Control vector parameterisation approach was applied the original dynamic optimisation problem which was converted into a NLP problem. Then SQP was used for solving the dynamic optimisation problem. The results demonstrate that optimum substrate and air feeding profiles can be obtained by the proposed optimisation algorithm to achieve the two conflicting goals of maximising biomass and minimising alcohol formation.

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