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

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

doi:10.1016/b978-0-444-54298-4.50059-3

Cited by 2 publications

(2 citation statements)

References 9 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%

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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%

“…Furthermore, the macroscopic sub-model for bioreactor space was connected to the metabolic and polymerization model 106 , and used for the investigation of tailor-made production of PHAs.…”

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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Model-based intensification of a fed-batch microbial process for the maximization of polyhydroxybutyrate (PHB) production rate

Penloglou

Vasileiadou

Chatzidoukas

et al. 2017

Bioprocess Biosyst Eng

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An integrated metabolic-polymerization-macroscopic model, describing the microbial production of polyhydroxybutyrate (PHB) in Azohydromonas lata bacteria, was developed and validated using a comprehensive series of experimental measurements. The model accounted for biomass growth, biopolymer accumulation, carbon and nitrogen sources utilization, oxygen mass transfer and uptake rates and average molecular weights of the accumulated PHB, produced under batch and fed-batch cultivation conditions. Model predictions were in excellent agreement with experimental measurements. The validated model was subsequently utilized to calculate optimal operating conditions and feeding policies for maximizing PHB productivity for desired PHB molecular properties. More specifically, two optimal fed-batch strategies were calculated and experimentally tested: (1) a nitrogen-limited fed-batch policy and (2) a nitrogen sufficient one. The calculated optimal operating policies resulted in a maximum PHB content (94% g/g) in the cultivated bacteria and a biopolymer productivity of 4.2 g/(l h), respectively. Moreover, it was demonstrated that different PHB grades with weight average molecular weights of up to 1513 kg/mol could be produced via the optimal selection of bioprocess operating conditions.

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

Cited by 2 publications

References 9 publications

Mathematical Modelling as a Tool for Optimized PHA Production

Mathematical Modelling as a Tool for Optimized PHA Production

Model-based intensification of a fed-batch microbial process for the maximization of polyhydroxybutyrate (PHB) production rate

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