Results 61 to 70 of about 11,845 (215)
Dynamical analysis of chemostat models incorporating variable yield coefficient and substrate inhibition with recycling process [PDF]
, 2021 This research analyses chemostat models for microbial production. Chemostat is a tool that can be used for the continuous production of microbes under controlled conditions such as pH, temperature, light, and nutrients.
Mohd Sadiq, Ummalaisha Farhana
core
mSystems, 2019 Methanotrophic bacteria are a group of prokaryotes capable of using methane as their sole carbon and energy source. Although efforts have been made to simulate and elucidate their metabolism via computational approaches or 13C tracer analysis, major gaps
Lian He, Yanfen Fu, Mary E. Lidstrom
doaj +1 more source
Advancement in Anaerobic Digestion for Scaling‐Up Biogas Production Through Food Waste Valorization
ChemBioEng Reviews, Volume 13, Issue 2, April 2026.The review article begins with an introduction that covers the overview, food waste (FW) classification, and the steps involved in producing biogas through anaerobic digestion (AD). Following that, it describes the process for producing biogas, including single‐, two‐, and multistage systems, mesophilic and thermophilic digestion, and wet and dry ...
Poulami Chatterjee +2 more
wiley +1 more source
Engineering in Life Sciences, Volume 26, Issue 4, April 2026.ABSTRACT In large‐scale bioprocesses, mixing limitations and design constraints cause the onset of heterogeneous environments, subjecting the cells to continuously changing external conditions, often reducing their performance compared to laboratory conditions.
Gennaro Avolio +2 more
wiley +1 more source
Dynamics of Nonautonomous Chemostat Models [PDF]
, 2015 Chemostat models have a long history in the biological sciences as well as in biomathematics. Hitherto most investigations have focused on autonomous systems, that is, with constant parameters, inputs and outputs. In many realistic situations these quantities can vary in time, either deterministically (e.g., periodically) or randomly. They are then non-
Caraballo, Tomas +3 more
openaire +4 more sources
maxEntropyProd/Trait-Based-Chemostat: V1.0
<h3>Initial release of the Mathematica code for the trait-based chemostat model</h3> <p><strong>Full Changelog</strong>: https://github.com/maxEntropyProd/Trait-Based-Chemostat/commits/V1.0</p ...
joe vallino
core +1 more source
A Microbial Food Web Dynamics Under the Influence of Leachate Recirculation
MathematicsThe three-tiered microbial food chain without maintenance under leachate recirculation is the subject of a mathematical seven-dimensional dynamical system that is proposed in this work.
Fatema Ahmed Al Najim +2 more
doaj +1 more source
Chemostat population dynamics.
, 2013 The blue trace shows the typical population density (measured by the OD at 600 nm) as a function of time for our rewired cells grown in a chemostat, upon switch from galactose medium to glucose medium lacking histidine (glu-his) at t = 0.
Lindsay S. Moore (491518) +2 more
core +1 more source
Inference with WF model from chemostat dynamics.
, 2022 The figure shows results of inference using NPE and either the WF or chemostat (Chemo) model on 5 simulated synthetic observations generated using the chemostat model for different combinations of fitness effect sC and formation rate δC.
Yoav Ram (3323925) +5 more
core +1 more source
Evolutionary Attractors in the Chemostat Model
SIAM Journal on Applied MathematicsWe consider the evolutive chemostat model with a continuous phenotypic trait of the micro-organisms that impacts both the specific growth rate and the yield conversion, and whose evolution is driven by a mutation kernel. We study the evolutionary attractors (EAs) for a general class of non-linear growth functions, without assuming that the dynamics of ...
Djidjou-Demasse, Ramsès +2 more
openaire +2 more sources