Dynamic modelling of bacteriophage production process

• Autorzy: Konopacki Maciej , Grygorcewicz Bartłomiej , Gliźniewicz Marta , Miłek Dominika , Kordas Marian , Rakoczy Rafał

Identyfikatory

DOI

10.24425/cpe.2022.142287

• Języki publikacji: EN

Abstrakty

EN

Bacteriophages, viruses that can infect bacteria, are promising alternatives for antibiotic treatment caused by antibiotic-resistant bacteria strains. For that reason, the production of bacteriophages is extensively studied. Mathematical modelling can lead to the improvement of bioprocess by identification of critical process parameters and their impact on the demanded product. Dynamic modelling considers a system (i.e. bioreactor or bioprocess) as a dynamic object focusing on changes in the initial and final parameters (such as biomass concentration and product formation) in time, so-called signals and treats the studied system as a “black box” that processes signals. This work aimed to develop a mathematical model that describes bacteriophage production process. As result, we created a dynamic model that can estimate the number of bacteriophages released from cells as plaque-forming units at specific time points based on the changes in the bacteria host-cell concentration. Moreover, the proposed model allowed us to analyze the impact of the initial virus concentration given by multiplicity of infection (MOI) on the amount of produced bacteriophages.

Słowa kluczowe

EN

bacteriophages; mathematical modelling; dynamic modelling; bioprocess engineering; Simulink

PL

bakteriofagi; modelowanie matematyczne; modelowanie dynamiczne; inżynieria bioprocesowa; Simulink

• Wydawca: Komitet Inżynierii Chemicznej i Procesowej Polskiej Akademii Nauk
• Czasopismo: Chemical and Process Engineering
• Rocznik: 2022
• Tom: Vol. 43, nr 4
• Strony: 471–--482
• Opis fizyczny: Bibliogr. 37 poz., il., tab.

Twórcy

autor

Konopacki Maciej

• West Pomeranian University of Technology in Szczecin, Faculty of Chemical Technology and Engineering, Department of Chemical and Process Engineering, al. Piastów 42, 71-065 Szczecin, Poland
• Pomeranian Medical University in Szczecin, Chair of Microbiology, Immunology and Laboratory Medicine, Department of Laboratory Medicine, al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland

• https://orcid.org/0000-0002-2240-7317

autor

Grygorcewicz Bartłomiej

• West Pomeranian University of Technology in Szczecin, Faculty of Chemical Technology and Engineering, Department of Chemical and Process Engineering, al. Piastów 42, 71-065 Szczecin, Poland
• Pomeranian Medical University in Szczecin, Chair of Microbiology, Immunology and Laboratory Medicine, Department of Laboratory Medicine, al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland

• https://orcid.org/0000-0002-0593-0069

autor

Gliźniewicz Marta

• Pomeranian Medical University in Szczecin, Chair of Microbiology, Immunology and Laboratory Medicine, Department of Laboratory Medicine, al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland

• https://orcid.org/0000-0002-7721-1223

autor

Miłek Dominika

• Pomeranian Medical University in Szczecin, Chair of Microbiology, Immunology and Laboratory Medicine, Department of Laboratory Medicine, al. Powstańców Wielkopolskich 72, 70-111 Szczecin, Poland

• https://orcid.org/0000-0001-7644-3797

autor

Kordas Marian

• West Pomeranian University of Technology in Szczecin, Faculty of Chemical Technology and Engineering, Department of Chemical and Process Engineering, al. Piastów 42, 71-065 Szczecin, Poland

• https://orcid.org/0000-0001-9982-1658

autor

Rakoczy Rafał

• West Pomeranian University of Technology in Szczecin, Faculty of Chemical Technology and Engineering, Department of Chemical and Process Engineering, al. Piastów 42, 71-065 Szczecin, Poland

• https://orcid.org/0000-0002-5770-926X

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