Eintrag weiter verarbeiten
Software Sensors for Biomass Concentration Estimation in Filamentous Microorganism Cultivation Process
Gespeichert in:
Zeitschriftentitel: | Chemical & biochemical engineering quarterly |
---|---|
Personen und Körperschaften: | , , , , |
In: | Chemical & biochemical engineering quarterly, 33, 2019, 1, S. 141-151 |
Format: | E-Article |
Sprache: | Unbestimmt |
veröffentlicht: |
Croatian Society of Chemical Engineers/HDKI
|
Schlagwörter: |
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 |
doi_str_mv |
10.15255/cabeq.2018.1387 |
facet_avail |
Online Free |
finc_class_facet |
Chemie und Pharmazie Technik |
format |
ElectronicArticle |
fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTUyNTUvY2FiZXEuMjAxOC4xMzg3 |
id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTUyNTUvY2FiZXEuMjAxOC4xMzg3 |
institution |
DE-105 DE-14 DE-Ch1 DE-L229 DE-D275 DE-Bn3 DE-Brt1 DE-Zwi2 DE-D161 DE-Gla1 DE-Zi4 DE-15 DE-Pl11 DE-Rs1 |
imprint |
Croatian Society of Chemical Engineers/HDKI, 2019 |
imprint_str_mv |
Croatian Society of Chemical Engineers/HDKI, 2019 |
issn |
1846-5153 0352-9568 |
issn_str_mv |
1846-5153 0352-9568 |
language |
Undetermined |
mega_collection |
Croatian Society of Chemical Engineers/HDKI (CrossRef) |
match_str |
hrncirik2019softwaresensorsforbiomassconcentrationestimationinfilamentousmicroorganismcultivationprocess |
publishDateSort |
2019 |
publisher |
Croatian Society of Chemical Engineers/HDKI |
recordtype |
ai |
record_format |
ai |
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> |
container_issue |
1 |
container_start_page |
141 |
container_title |
Chemical & biochemical engineering quarterly |
container_volume |
33 |
format_de105 |
Article, E-Article |
format_de14 |
Article, E-Article |
format_de15 |
Article, E-Article |
format_de520 |
Article, E-Article |
format_de540 |
Article, E-Article |
format_dech1 |
Article, E-Article |
format_ded117 |
Article, E-Article |
format_degla1 |
E-Article |
format_del152 |
Buch |
format_del189 |
Article, E-Article |
format_dezi4 |
Article |
format_dezwi2 |
Article, E-Article |
format_finc |
Article, E-Article |
format_nrw |
Article, E-Article |
_version_ |
1792329534980227074 |
geogr_code |
not assigned |
last_indexed |
2024-03-01T13:10:43.008Z |
geogr_code_person |
not assigned |
openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Software+Sensors+for+Biomass+Concentration+Estimation+in+Filamentous+Microorganism+Cultivation+Process&rft.date=2019-01-01&genre=article&issn=0352-9568&volume=33&issue=1&spage=141&epage=151&pages=141-151&jtitle=Chemical+%26+biochemical+engineering+quarterly&atitle=Software+Sensors+for+Biomass+Concentration+Estimation+in+Filamentous+Microorganism+Cultivation+Process&aulast=Jan%C3%A1%C4%8Dov%C3%A1&aufirst=Dagmar&rft_id=info%3Adoi%2F10.15255%2Fcabeq.2018.1387&rft.language%5B0%5D=und |
SOLR | |
_version_ | 1792329534980227074 |
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> |
doi_str_mv | 10.15255/cabeq.2018.1387 |
facet_avail | Online, Free |
finc_class_facet | Chemie und Pharmazie, Technik |
format | ElectronicArticle |
format_de105 | Article, E-Article |
format_de14 | Article, E-Article |
format_de15 | Article, E-Article |
format_de520 | Article, E-Article |
format_de540 | Article, E-Article |
format_dech1 | Article, E-Article |
format_ded117 | Article, E-Article |
format_degla1 | E-Article |
format_del152 | Buch |
format_del189 | Article, E-Article |
format_dezi4 | Article |
format_dezwi2 | Article, E-Article |
format_finc | Article, E-Article |
format_nrw | Article, E-Article |
geogr_code | not assigned |
geogr_code_person | not assigned |
id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTUyNTUvY2FiZXEuMjAxOC4xMzg3 |
imprint | Croatian Society of Chemical Engineers/HDKI, 2019 |
imprint_str_mv | Croatian Society of Chemical Engineers/HDKI, 2019 |
institution | DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1 |
issn | 1846-5153, 0352-9568 |
issn_str_mv | 1846-5153, 0352-9568 |
language | Undetermined |
last_indexed | 2024-03-01T13:10:43.008Z |
match_str | hrncirik2019softwaresensorsforbiomassconcentrationestimationinfilamentousmicroorganismcultivationprocess |
mega_collection | Croatian Society of Chemical Engineers/HDKI (CrossRef) |
physical | 141-151 |
publishDate | 2019 |
publishDateSort | 2019 |
publisher | Croatian Society of Chemical Engineers/HDKI |
record_format | ai |
recordtype | ai |
series | Chemical & biochemical engineering quarterly |
source_id | 49 |
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 |