author_facet Hrnčiřík, Pavel
Moucha, Tomáš
Mareš, Jan
Náhlík, Jan
Janáčová, Dagmar
Hrnčiřík, Pavel
Moucha, Tomáš
Mareš, Jan
Náhlík, Jan
Janáčová, Dagmar
author Hrnčiřík, Pavel
Moucha, Tomáš
Mareš, Jan
Náhlík, Jan
Janáčová, Dagmar
spellingShingle Hrnčiřík, Pavel
Moucha, Tomáš
Mareš, Jan
Náhlík, Jan
Janáčová, Dagmar
Chemical & biochemical engineering quarterly
Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process
Process Chemistry and Technology
General Chemistry
Biochemistry
author_sort hrnčiřík, pavel
spelling Hrnčiřík, Pavel Moucha, Tomáš Mareš, Jan Náhlík, Jan Janáčová, Dagmar 1846-5153 0352-9568 Croatian Society of Chemical Engineers/HDKI Process Chemistry and Technology General Chemistry Biochemistry http://dx.doi.org/10.15255/cabeq.2018.1387 <jats:p>In this study, the potential of two software sensors for on-line estimation of biomass concentration during cultivation of filamentous microorganisms is examined. The first sensor is based on common bioreactor off-gas analyses, and uses the assumption of the biomass concentration linear dependence on the square root of cumulative O2 consumption. Parameters of the semi-empirical data-driven software sensor based on off-gas analysis were calculated from experimental cultivation data using linear regression. The second sensor is based on biocalorimetry, i.e., the on-line calculation of metabolic heat flux from general enthalpy balance of the bioreactor. The software sensor based on biocalorimetry thus essentially represents a model-driven approach, making use of a fundamental process model based on the enthalpy balance around the bioreactor. This approach has been combined with the experimental identification of the specific biomass heat production, which represents the main process-specific parameter of the software sensor based on biocalorimetry. For this sensor, the accuracy requirements on the process variable on-line measurements were also analysed. The experimental data from the pilot-scale antibiotics Nystatin production by a bacterium Streptomyces noursei were used to calculate the specific bioprocess heat production value using linear regression. The achieved results enabled us to propose a new on-line indicator calculated as the ratio of the outputs of both sensors, which can serve as a timely warning of the risk of undesired nutritional conditions of a culture characterized as underfeeding.</jats:p> Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process Chemical & biochemical engineering quarterly
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series Chemical & biochemical engineering quarterly
source_id 49
title Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process
title_unstemmed Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process
title_full Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process
title_fullStr Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process
title_full_unstemmed Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process
title_short Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process
title_sort software sensors for biomass concentration estimation in filamentous microorganism cultivation process
topic Process Chemistry and Technology
General Chemistry
Biochemistry
url http://dx.doi.org/10.15255/cabeq.2018.1387
publishDate 2019
physical 141-151
description <jats:p>In this study, the potential of two software sensors for on-line estimation of biomass concentration during cultivation of filamentous microorganisms is examined. The first sensor is based on common bioreactor off-gas analyses, and uses the assumption of the biomass concentration linear dependence on the square root of cumulative O2 consumption. Parameters of the semi-empirical data-driven software sensor based on off-gas analysis were calculated from experimental cultivation data using linear regression. The second sensor is based on biocalorimetry, i.e., the on-line calculation of metabolic heat flux from general enthalpy balance of the bioreactor. The software sensor based on biocalorimetry thus essentially represents a model-driven approach, making use of a fundamental process model based on the enthalpy balance around the bioreactor. This approach has been combined with the experimental identification of the specific biomass heat production, which represents the main process-specific parameter of the software sensor based on biocalorimetry. For this sensor, the accuracy requirements on the process variable on-line measurements were also analysed. The experimental data from the pilot-scale antibiotics Nystatin production by a bacterium Streptomyces noursei were used to calculate the specific bioprocess heat production value using linear regression. The achieved results enabled us to propose a new on-line indicator calculated as the ratio of the outputs of both sensors, which can serve as a timely warning of the risk of undesired nutritional conditions of a culture characterized as underfeeding.</jats:p>
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author Hrnčiřík, Pavel, Moucha, Tomáš, Mareš, Jan, Náhlík, Jan, Janáčová, Dagmar
author_facet Hrnčiřík, Pavel, Moucha, Tomáš, Mareš, Jan, Náhlík, Jan, Janáčová, Dagmar, Hrnčiřík, Pavel, Moucha, Tomáš, Mareš, Jan, Náhlík, Jan, Janáčová, Dagmar
author_sort hrnčiřík, pavel
container_issue 1
container_start_page 141
container_title Chemical & biochemical engineering quarterly
container_volume 33
description <jats:p>In this study, the potential of two software sensors for on-line estimation of biomass concentration during cultivation of filamentous microorganisms is examined. The first sensor is based on common bioreactor off-gas analyses, and uses the assumption of the biomass concentration linear dependence on the square root of cumulative O2 consumption. Parameters of the semi-empirical data-driven software sensor based on off-gas analysis were calculated from experimental cultivation data using linear regression. The second sensor is based on biocalorimetry, i.e., the on-line calculation of metabolic heat flux from general enthalpy balance of the bioreactor. The software sensor based on biocalorimetry thus essentially represents a model-driven approach, making use of a fundamental process model based on the enthalpy balance around the bioreactor. This approach has been combined with the experimental identification of the specific biomass heat production, which represents the main process-specific parameter of the software sensor based on biocalorimetry. For this sensor, the accuracy requirements on the process variable on-line measurements were also analysed. The experimental data from the pilot-scale antibiotics Nystatin production by a bacterium Streptomyces noursei were used to calculate the specific bioprocess heat production value using linear regression. The achieved results enabled us to propose a new on-line indicator calculated as the ratio of the outputs of both sensors, which can serve as a timely warning of the risk of undesired nutritional conditions of a culture characterized as underfeeding.</jats:p>
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spelling Hrnčiřík, Pavel Moucha, Tomáš Mareš, Jan Náhlík, Jan Janáčová, Dagmar 1846-5153 0352-9568 Croatian Society of Chemical Engineers/HDKI Process Chemistry and Technology General Chemistry Biochemistry http://dx.doi.org/10.15255/cabeq.2018.1387 <jats:p>In this study, the potential of two software sensors for on-line estimation of biomass concentration during cultivation of filamentous microorganisms is examined. The first sensor is based on common bioreactor off-gas analyses, and uses the assumption of the biomass concentration linear dependence on the square root of cumulative O2 consumption. Parameters of the semi-empirical data-driven software sensor based on off-gas analysis were calculated from experimental cultivation data using linear regression. The second sensor is based on biocalorimetry, i.e., the on-line calculation of metabolic heat flux from general enthalpy balance of the bioreactor. The software sensor based on biocalorimetry thus essentially represents a model-driven approach, making use of a fundamental process model based on the enthalpy balance around the bioreactor. This approach has been combined with the experimental identification of the specific biomass heat production, which represents the main process-specific parameter of the software sensor based on biocalorimetry. For this sensor, the accuracy requirements on the process variable on-line measurements were also analysed. The experimental data from the pilot-scale antibiotics Nystatin production by a bacterium Streptomyces noursei were used to calculate the specific bioprocess heat production value using linear regression. The achieved results enabled us to propose a new on-line indicator calculated as the ratio of the outputs of both sensors, which can serve as a timely warning of the risk of undesired nutritional conditions of a culture characterized as underfeeding.</jats:p> Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process Chemical & biochemical engineering quarterly
spellingShingle Hrnčiřík, Pavel, Moucha, Tomáš, Mareš, Jan, Náhlík, Jan, Janáčová, Dagmar, Chemical & biochemical engineering quarterly, Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process, Process Chemistry and Technology, General Chemistry, Biochemistry
title Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process
title_full Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process
title_fullStr Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process
title_full_unstemmed Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process
title_short Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process
title_sort software sensors for biomass concentration estimation in filamentous microorganism cultivation process
title_unstemmed Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process
topic Process Chemistry and Technology, General Chemistry, Biochemistry
url http://dx.doi.org/10.15255/cabeq.2018.1387