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A Soft Sensor for Bioprocess Control Based on Sequential Filtering of Metabolic Heat Signals
Soft sensors are the combination of robust on-line sensor signals with mathematical models for deriving additional process information. Here, we apply this principle to a microbial recombinant protein production process in a bioreactor by exploiting bio-calorimetric methodology. Temperature sensor s...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239934/ https://www.ncbi.nlm.nih.gov/pubmed/25264951 http://dx.doi.org/10.3390/s141017864 |
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author | Paulsson, Dan Gustavsson, Robert Mandenius, Carl-Fredrik |
author_facet | Paulsson, Dan Gustavsson, Robert Mandenius, Carl-Fredrik |
author_sort | Paulsson, Dan |
collection | PubMed |
description | Soft sensors are the combination of robust on-line sensor signals with mathematical models for deriving additional process information. Here, we apply this principle to a microbial recombinant protein production process in a bioreactor by exploiting bio-calorimetric methodology. Temperature sensor signals from the cooling system of the bioreactor were used for estimating the metabolic heat of the microbial culture and from that the specific growth rate and active biomass concentration were derived. By applying sequential digital signal filtering, the soft sensor was made more robust for industrial practice with cultures generating low metabolic heat in environments with high noise level. The estimated specific growth rate signal obtained from the three stage sequential filter allowed controlled feeding of substrate during the fed-batch phase of the production process. The biomass and growth rate estimates from the soft sensor were also compared with an alternative sensor probe and a capacitance on-line sensor, for the same variables. The comparison showed similar or better sensitivity and lower variability for the metabolic heat soft sensor suggesting that using permanent temperature sensors of a bioreactor is a realistic and inexpensive alternative for monitoring and control. However, both alternatives are easy to implement in a soft sensor, alone or in parallel. |
format | Online Article Text |
id | pubmed-4239934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-42399342014-11-21 A Soft Sensor for Bioprocess Control Based on Sequential Filtering of Metabolic Heat Signals Paulsson, Dan Gustavsson, Robert Mandenius, Carl-Fredrik Sensors (Basel) Article Soft sensors are the combination of robust on-line sensor signals with mathematical models for deriving additional process information. Here, we apply this principle to a microbial recombinant protein production process in a bioreactor by exploiting bio-calorimetric methodology. Temperature sensor signals from the cooling system of the bioreactor were used for estimating the metabolic heat of the microbial culture and from that the specific growth rate and active biomass concentration were derived. By applying sequential digital signal filtering, the soft sensor was made more robust for industrial practice with cultures generating low metabolic heat in environments with high noise level. The estimated specific growth rate signal obtained from the three stage sequential filter allowed controlled feeding of substrate during the fed-batch phase of the production process. The biomass and growth rate estimates from the soft sensor were also compared with an alternative sensor probe and a capacitance on-line sensor, for the same variables. The comparison showed similar or better sensitivity and lower variability for the metabolic heat soft sensor suggesting that using permanent temperature sensors of a bioreactor is a realistic and inexpensive alternative for monitoring and control. However, both alternatives are easy to implement in a soft sensor, alone or in parallel. MDPI 2014-09-26 /pmc/articles/PMC4239934/ /pubmed/25264951 http://dx.doi.org/10.3390/s141017864 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Paulsson, Dan Gustavsson, Robert Mandenius, Carl-Fredrik A Soft Sensor for Bioprocess Control Based on Sequential Filtering of Metabolic Heat Signals |
title | A Soft Sensor for Bioprocess Control Based on Sequential Filtering of Metabolic Heat Signals |
title_full | A Soft Sensor for Bioprocess Control Based on Sequential Filtering of Metabolic Heat Signals |
title_fullStr | A Soft Sensor for Bioprocess Control Based on Sequential Filtering of Metabolic Heat Signals |
title_full_unstemmed | A Soft Sensor for Bioprocess Control Based on Sequential Filtering of Metabolic Heat Signals |
title_short | A Soft Sensor for Bioprocess Control Based on Sequential Filtering of Metabolic Heat Signals |
title_sort | soft sensor for bioprocess control based on sequential filtering of metabolic heat signals |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4239934/ https://www.ncbi.nlm.nih.gov/pubmed/25264951 http://dx.doi.org/10.3390/s141017864 |
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