A combined metabolic/polymerization kinetic model on the microbial production of poly(3-hydroxybutyrate)

Penloglou, Giannis; Roussos, Avraam; Chatzidoukas, Christos; Kiparissides, Costas

doi:10.1016/j.nbt.2010.02.001

Cited by 19 publications

(10 citation statements)

References 36 publications

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“…A series of articles [104][105][106][107][108] published by Penloglou and coworkers, and Chadzidoukas et al was dedicated to the modeling of PHA production by Alcaligenes latus (today: Azohydromonas lata). A mathematical model that incorporates the metabolic regulation was used to predict the simultaneous bacterial growth and polymer accumulation, respecting the polymerization/kinetic mechanism for build-up of the polymer chains.…”

Section: Metabolic Models Targeted For Industrial Pha Biosynthesismentioning

confidence: 99%

Mathematical Modelling as a Tool for Optimized PHA Production

Novák

Koller

Braunegg

et al. 2015

Chem.Biochem.Eng.Q.

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c ARENA -Association for resource efficient and sustainable technologies, Inffeldgasse 21b, 8010 Graz, AustriaThe potential of poly(hydroxyalkanoates) (PHAs) to replace conventional plastic materials justifies the increasing attention they have drawn both at lab-scale and in industrial biotechnology.The improvement of large-scale productivity and biochemical/genetic properties of producing strains requires mathematical modeling and process/strain optimization procedures. Current models dealing with structurally diversified PHAs, both structured and unstructured, can be divided into formal kinetic, low-structured, dynamic, metabolic (high-structured), cybernetic, neural networks and hybrid models; these attempts are summarized in this review. Characteristic properties of specific groups of models are stressed in light of their benefit to the better understanding of PHA biosynthesis, and their applicability for enhanced productivity. Unfortunately, there is no single type of mathematical model that expresses exactly all the characteristics of producing strains and/or features of industrial-scale plants; in addition, the different requirements for modelling of PHA production by pure cultures or mixed microbial consortia have to be addressed. Therefore, it is crucial to sophisticatedly adapt and fine-tune the modelling approach accordingly to actual processes, as the case arises. For "standard microbial cultivations and everyday practices", formal kinetic models (for simple cases) and "low-structured" models will be appropriate and of great benefit. They are relatively simple and of low computational demand.To overcome the specific weaknesses of different established model types, some authors use hybrid models. Here, satisfying compromises can be achieved by combining mechanistic, cybernetic, and neural and computational fluid dynamics (CFD) models. Therefore, this hybrid modelling approach appears to constitute the most promising solution to generate a holistic picture of the entire PHA production process, encompassing all the benefits of the original modelling strategies. Complex growth media require a higher degree of model structuring. For scientific purposes and advanced development of industrial equipment in the future, real systems will be modelled by highly organized hybrid models.All solutions related to modelling PHA production are discussed in this review.

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Section: Metabolic Models Targeted For Industrial Pha Biosynthesismentioning

confidence: 99%

Mathematical Modelling as a Tool for Optimized PHA Production

Novák

Koller

Braunegg

et al. 2015

Chem.Biochem.Eng.Q.

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“…[9] Sucrose is converted into acetyl coenzyme A through the Entner-Doudoroff pathway, while the main PHB biosynthetic pathway consists of three sequential enzymic reactions. [9] Sucrose is converted into acetyl coenzyme A through the Entner-Doudoroff pathway, while the main PHB biosynthetic pathway consists of three sequential enzymic reactions.…”

Section: Metabolic Modelmentioning

confidence: 99%

“…The catalytic polymerization of the monomer (catalyzed by pha-synthase, phaC) into PHB and the catalytic depolymerization of PHB (catalyzed by pha-depolymerase, phaZ) were described by four biochemical reactions in the work of Penloglou et al [9] Following the analysis of this work, the proposed dynamic molar balances were utilized in order to describe the dynamic evolution of the various molecular species.…”

Section: Polymerization Modelmentioning

confidence: 99%

Model-based Dynamic Optimisation of Microbial Processes for the High-Yield Production of Biopolymers with Tailor-made Molecular Properties

Penloglou

Chatzidoukas

Roussos

et al. 2011

Computer Aided Chemical Engineering

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“…In this sense, a number of models have been developed for the prediction of PHB dynamics and molecular weight distribution in bacterial cultures (Mantzaris et al 2002, Penloglou et al 2010). Mantzaris et al (2002) assumed a constant chain length propagation rate and did not include a degradation mechanism.…”

Section: Prediction Of Molecular Weight and Copolymer Composition 25mentioning

confidence: 99%

“…Mantzaris et al (2002) assumed a constant chain length propagation rate and did not include a degradation mechanism. On the other hand, the model postulated by Penloglou et al (2010) integrates two different length/time scales by combining a polymerization kinetic model comprising initiation, propagation, chain transfer and degradation reactions, with a cell metabolism (monomer concentration) model and, and in a more recent model, key process operating variables (i.e., nutritional and aeration conditions) are also considered and validated experimentally ).…”

Section: Prediction Of Molecular Weight and Copolymer Composition 25mentioning

confidence: 99%

Composition of mixed culture PHA biopolymers and implications for downstream processing

Montano-Herrera¹

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Polyhydroxyalkanoates (PHAs) are biopolymers synthesised and accumulated by most bacteria for carbon and energy storage. They have properties and applications comparable to petrochemical thermoplastics. Although PHAs are produced at high yields using pure biological cultures, the use of mixed cultures can significantly reduce the production costs and make use of waste streams to produce environmentally sustainable materials. In order to produce mixed culture PHAs of relevance for broader industry applications it is necessary to develop the ability to tailor polymers with diversified mechanical properties through understanding and controlling the monomer composition and compositional distribution.Diverse and complex PHA polymer structures have been achieved in mixed microbial cultures using time-based feeding strategies. However, PHA monomer composition and compositional distribution in PHA random and blocky copolymers are sensitive to substrate feeding history, making more complex the prediction of final PHA content and composition.In this sense, a better understanding of the changing cell physiologies that develop in response to different feeding strategies and substrates is necessary to design optimised feeding strategies and process control algorithms for PHA production.This thesis presents for the first time a comprehensive flux characterisation of monomer development during mixed culture PHA accumulation concurrent with biomass growth using Metabolic Flux Analysis (MFA). A dynamic trend in active biomass growth and in polymer composition was observed and was consistent over replicate accumulations. Monomer (3-hydroxybutyrate and 3-hydroxyvalerate) incorporation into poly(3-hydroxybutyate-co-3-hydroxyvalerate) copolymers in a pilot scale production system was evaluated based on published models that describe polymer production during PHA accumulation. However, it was found that these existing models could not describe the fluctuations in the proportion of Additionally, thermal degradation of mixed culture PHAs during melt processing was assessed by Near-Infrared (NIR) spectroscopy coupled to Multivariate Data Analysis. It was shown that, with correct pretreatment, a copolymeric product that was much more stable to extrusion processing than commercially available PHA was produced.Overall, this thesis explores both the fundamental and applied aspects of PHA production by mixed microbial cultures with concurrent active biomass growth. The use of computational iii tools to explore and help understand the underlying metabolic processes was explored.Polymer composition seems to follow a very complex regulation processes which can be described through the incorporation of more detailed reactions in current metabolic models.Furthermore, this thesis gives further insight into the fundamental properties of the materials produced and an assessment of their potential for degradation during processing.iv

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A combined metabolic/polymerization kinetic model on the microbial production of poly(3-hydroxybutyrate)

Cited by 19 publications

References 36 publications

Mathematical Modelling as a Tool for Optimized PHA Production

Mathematical Modelling as a Tool for Optimized PHA Production

Model-based Dynamic Optimisation of Microbial Processes for the High-Yield Production of Biopolymers with Tailor-made Molecular Properties

Composition of mixed culture PHA biopolymers and implications for downstream processing

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