Model for Photosynthesis and Photoinhibition: Parameter Identification Based on the harmonic Irradiation O$_{2}$ Response Measurement

Rehák, Branislav; Čelikovský, Sergej; Papáček, Štěpán

doi:10.1109/tcsi.2007.911345

Cited by 9 publications

(18 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These features are best comprised by the mechanistic model of photosynthetic factory-PSF model [10,11,2]. Using the re-parametrization firstly introduced in [3], the three-state PSF model has the following form:…”

Section: Development Of a Distributed Parameter Model Of Microalgae Gmentioning

confidence: 99%

“…, 5, are five positive model parameters, cf. [3,4]. Notice that (1) is composed of one ODE system and one algebraic equation connecting the hypothetical state y A of PSF model with the specific growth rate µ :=ċ x /c x , where c x stands for microbial cell concentration.…”

Section: Development Of a Distributed Parameter Model Of Microalgae Gmentioning

confidence: 99%

“…Considering that the values of q 3 in s −1 and q 5 (dimensionless) are of the order 10 −4 , cf. [11,3,4], and y A (t) is periodic with period T , cf. [2] for more details, we have for the specific growth rate:…”

Section: Development Of a Distributed Parameter Model Of Microalgae Gmentioning

confidence: 99%

“…Modelling in a predictive way the photosynthetic response in the threedimensional flow field seems unrealistic today, because the global response depends on numerous interacting intracellular reactions, with various time-scales. In our previous works [2][3][4][5], we examined an adequate multi-scale lumped parameter model, describing well the principal physiological mechanisms in microalgae: photosynthetic light-dark reactions and photoinhibition. Now our main goal is the development and implementation of a mathematical model of microalgae growth in a general gas-liquid-solid PBR as a tool in PBR design and optimization of its performance.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Growth impact of hydrodynamic dispersion in a Couette–Taylor bioreactor

Papáček

Štumbauer

Štys

et al. 2011

Mathematical and Computer Modelling

View full text Add to dashboard Cite

a b s t r a c tThe development of a distributed parameter model of microalgae growth is presented. Two modelling frameworks for photo-bioreactor modelling, Eulerian and Lagrangian, are discussed and the complications residing in the multi-scale nature of transport and reaction phenomena are clarified. It is shown why is the mechanistic two time-scale model of photosynthetic factory the adequate model for biotechnological purposes. For a special laboratory Couette-Taylor bioreactor with cylindrical geometry, we reached reliable simulation results using a steady-state Eulerian approach and the finite difference scheme. Moreover, we prove numerically that the resulting photosynthetic production rate in this reactor goes, for growing inner cylinder angular velocity, to a certain limit value, which depends on the average irradiance only.

show abstract

Section: Development Of a Distributed Parameter Model Of Microalgae Gmentioning

confidence: 99%

Section: Development Of a Distributed Parameter Model Of Microalgae Gmentioning

confidence: 99%

Section: Development Of a Distributed Parameter Model Of Microalgae Gmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Growth impact of hydrodynamic dispersion in a Couette–Taylor bioreactor

Papáček

Štumbauer

Štys

et al. 2011

Mathematical and Computer Modelling

View full text Add to dashboard Cite

show abstract

“…For instance, the reader is referred to our work [6]. -Objective function: Let us suppose, we have only one objective to optimize.…”

Section: -State Variablesmentioning

confidence: 99%

Modeling and Optimization of Microalgae Growth in Photobioreactors: A Multidisciplinary Problem

Papáček

Jablonský

Petera

et al. 2015

ISCS 2014: Interdisciplinary Symposium on Complex Systems

View full text Add to dashboard Cite

Abstract. Microalgae have the potential to be a major biofuel source in the future. Computational biology plays a key role in understanding biological processes within microalgae and optimizing biofuel production. Here, we present a multidisciplinary, multi-timescale modeling approach of microalgae growth in photobioreactors. Our modeling framework bridges biology (cell growth), physics (hydrodynamics and light distribution), and optimization together. This framework consists of (i) the state system (mass balance equations in form of advectiondiffusion-reaction PDEs), (ii) the fluid flow equations (the Navier-Stokes equations), and (iii) the optimization problem formulation. The modeling and optimization of microalgae growth in a Couette-Taylor reactor is presented to demonstrate this method. We show how the flashing light effect can be an intrinsic part of the model. Finally, we discuss further methodological integration with the metabolomic-transcriptomic kinetic model, which explains cellular concentrations of key metabolites in connection with cell growth.

show abstract

Integration of dynamic growth modeling and hydrodynamics in an internal‐loop split photobioreactor

Sabri

Ojha

Sultan

et al. 2021

J of Chemical Tech & Biotech

View full text Add to dashboard Cite

In this study, new high‐quality experimental data for culturing green microalgae Scenedesmus in tubular and cylindrical split airlift photobioreactors were obtained under different operating conditions. The obtained experimental data of culturing microalgae Scenedesmus in a tubular photobioreactor were used for determining the kinetic parameters of the photosynthetic reaction. On the other hand, the culturing of green microalgae in a split airlift photobioreactor was used to measure the microalgae cell trajectory using an advanced radioactive particle tracking (RPT) technique. The obtained results in terms of kinetic parameters of the photosynthetic reaction and microalgae cell trajectory were integrated for the first time to obtain the three‐state dynamic growth model. This integration between dynamic growth and cell trajectories will provide a direct and comprehensive tool for photobioreactor analysis, which is essential for proper and efficient reactor design and scale‐up for large‐scale biomass production. © 2021 Society of Chemical Industry (SCI).

show abstract

Model for Photosynthesis and Photoinhibition: Parameter Identification Based on the harmonic Irradiation O$_{2}$ Response Measurement

Cited by 9 publications

References 0 publications

Growth impact of hydrodynamic dispersion in a Couette–Taylor bioreactor

Growth impact of hydrodynamic dispersion in a Couette–Taylor bioreactor

Modeling and Optimization of Microalgae Growth in Photobioreactors: A Multidisciplinary Problem

Integration of dynamic growth modeling and hydrodynamics in an internal‐loop split photobioreactor

Contact Info

Product

Resources

About