Microbial growth kinetics of fed-batch fermentations

1988 ◽  
Vol 29 (2-3) ◽  
pp. 203-207 ◽  
Author(s):  
F. Özadali ◽  
M. Özilgen
Keyword(s):  
Growth Kinetics ◽  
Microbial Growth ◽  
Fed Batch ◽  
Microbial Growth Kinetics ◽  
Kinetics Of

Microbial growth kinetics of fed-batch fermentations

1988 ◽  
Vol 29 (2-3) ◽  
pp. 203-207
Author(s):  
F. �zadali ◽  
M. �zilgen
Keyword(s):  
Growth Kinetics ◽  
Microbial Growth ◽  
Fed Batch ◽  
Microbial Growth Kinetics ◽  
Kinetics Of

scholarly journals Bio-Electrochemical System Depollution Capabilities and Monitoring Applications: Models, Applicability, Advanced Bio-Based Concept for Predicting Pollutant Degradation and Microbial Growth Kinetics via Gene Regulation Modelling

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 1038
Author(s):  
Argyro Tsipa ◽  
Constantina K. Varnava ◽  
Paola Grenni ◽  
Vincenzo Ferrara ◽  
Andrea Pietrelli
Keyword(s):  
Gene Regulation ◽  
Growth Kinetics ◽  
Microbial Fuel Cells ◽  
Growth Kinetic ◽  
Microbial Growth ◽  
Pollutant Removal ◽  
Enzyme Expression ◽  
Regulation Mechanisms ◽  
Microbial Growth Kinetics ◽  
Difficult Challenge

Microbial fuel cells (MFC) are an emerging technology for waste, wastewater and polluted soil treatment. In this manuscript, pollutants that can be treated using MFC systems producing energy are presented. Furthermore, the applicability of MFC in environmental monitoring is described. Common microbial species used, release of genome sequences, and gene regulation mechanisms, are discussed. However, although scaling-up is the key to improving MFC systems, it is still a difficult challenge. Mathematical models for MFCs are used for their design, control and optimization. Such models representing the system are presented here. In such comprehensive models, microbial growth kinetic approaches are essential to designing and predicting a biosystem. The empirical and unstructured Monod and Monod-type models, which are traditionally used, are also described here. Understanding and modelling of the gene regulatory network could be a solution for enhancing knowledge and designing more efficient MFC processes, useful for scaling it up. An advanced bio-based modelling concept connecting gene regulation modelling of specific metabolic pathways to microbial growth kinetic models is presented here; it enables a more accurate prediction and estimation of substrate biodegradation, microbial growth kinetics, and necessary gene and enzyme expression. The gene and enzyme expression prediction can also be used in synthetic and systems biology for process optimization. Moreover, various MFC applications as a bioreactor and bioremediator, and in soil pollutant removal and monitoring, are explored.

Solid-State Fermentation, Microbial Growth Kinetics

2014 ◽  
pp. 1-23
Author(s):  
David A. Mitchell ◽  
Deidre M. Stuart ◽  
Sibel Uludag-Demirer ◽  
Robert D. Tanner
Keyword(s):  
Solid State ◽  
Growth Kinetics ◽  
Solid State Fermentation ◽  
Microbial Growth ◽  
Microbial Growth Kinetics
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