Estimation of Autotrophic Maximum Specific Growth Rate Constant-Experience from the Long-Term Operation of a Laboratory-Scale Sequencing Batch Reactor System

2008 ◽  
Vol 80 (4) ◽  
pp. 355-366 ◽  
Author(s):  
Yu-Min Su ◽  
Jacek Makinia ◽  
Krishna R. Pagilla
Keyword(s):  
Growth Rate ◽  
Specific Growth Rate ◽  
Rate Constant ◽  
Sequencing Batch Reactor ◽  
Specific Growth ◽  
Batch Reactor ◽  
Maximum Specific Growth Rate ◽  
Growth Rate Constant ◽  
Term Operation

scholarly journals NOVEL MATHEMATICAL MODELS FOR PREDICTION OF MICROBIAL GROWTH KINETICS AND CONTAMINANT DEGRADATION IN BIOREMEDIATION PROCESS

2016 ◽  
Vol 24 (3) ◽  
pp. 157-164 ◽  
Author(s):  
Azadeh KHOSHDEL ◽  
Behrooz MAHMOODZADEH VAZIRI
Keyword(s):  
Growth Rate ◽  
Specific Growth Rate ◽  
Rate Constant ◽  
Growth Kinetics ◽  
Microbial Growth ◽  
Specific Growth ◽  
Growth Rate Constant ◽  
Substrate Consumption ◽  
Contaminant Degradation ◽  
Microbial Growth Kinetics

Bioremediation is defined as a process, which involves decomposition of organic pollutant compounds available in soil and water resources into safe and eco-friendly materials, like water and CO2, by the microorganisms. In the present article, mathematical modeling of the bioremediation process was conducted comprehensively, and new models proposed for the microbial growth kinetics and substrate consumption (contaminant degradation). Accordingly, six kinetic models were suggested for the biomass growth and six models for the substrate consumption. Moreover, two models were considered for specific growth rate constant of the microorganisms. Then, model predictions were compared to and validated by the available experimental data in the literature. According to the obtained results, the microbial growth kinetic model, entitled as “MVKH2”, the substrate (contaminant) consumption model, entitled as “MVKH2s”, and the Aiba specific growth rate constant model had the best performance and the least error value in predicting the bioremediation process. Results achieved from this study are a promising beginning for practical and experimental works.

E-beam irradiation affects the maximum specific growth rate ofBacillus cereus

2012 ◽  
Vol 48 (2) ◽  
pp. 382-386 ◽  
Author(s):  
Juan Aguirre ◽  
Mª Rosa Rodríguez ◽  
Rodrigo González ◽  
Gonzalo García de Fernando
Keyword(s):  
Growth Rate ◽  
Specific Growth Rate ◽  
Specific Growth ◽  
Maximum Specific Growth Rate ◽  
Beam Irradiation ◽  
Ofbacillus Cereus

Maximum specific growth rate of anammox bacteria revisited

2017 ◽  
Vol 116 ◽  
pp. 296-303 ◽  
Author(s):  
Lei Zhang ◽  
Yuko Narita ◽  
Lin Gao ◽  
Muhammad Ali ◽  
Mamoru Oshiki ◽  
...  
Keyword(s):  
Growth Rate ◽  
Specific Growth Rate ◽  
Specific Growth ◽  
Maximum Specific Growth Rate ◽  
Anammox Bacteria

Evolution of Escherichia coli During Growth in a Constant Environment

Genetics ◽  
1987 ◽  
Vol 116 (3) ◽  
pp. 349-358
Author(s):  
Robert B Helling ◽  
Christopher N Vargas ◽  
Julian Adams
Keyword(s):  
Escherichia Coli ◽  
Growth Rate ◽  
Specific Growth Rate ◽  
Continuous Culture ◽  
Specific Growth ◽  
Maximum Specific Growth Rate ◽  
Constant Environment ◽  
Single Clone ◽  
Mixed Populations

ABSTRACT Populations of Escherichia coli, initiated with a single clone and maintained for long periods in glucose-limited continuous culture, developed extensive polymorphisms. In one population, examined after 765 generations, two majority and two minority types were identified. Stable mixed populations were reestablished from the isolated strains. Factors involved in the development of this polymorphism included differences in the maximum specific growth rate and in the transport of glucose, and excretion of metabolites by some clones which were utilized by minority clones.

Sign in / Sign up

Export Citation Format

Share Document