Online Process State Estimation for <i>Hansenula polymorpha</i> Cultivation with 2D Fluorescence Spectra-Based Chemometric Model Calibrated from a Theoretical Model in Place of Offline Measurements
The use of 2D fluorescence spectra is a powerful, instantaneous, and highly accurate method to estimate the state of bioprocesses. The conventional approach for calibrating a chemometric model from raw spectra needs a large number of offline measurements from numerous runs, which is tedious, time-co...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-01-01
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| Series: | Fermentation |
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| Online Access: | https://www.mdpi.com/2311-5637/9/2/95 |
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| author | Majharulislam Babor Olivier Paquet-Durand Christoph Berg Jochen Büchs Bernd Hitzmann |
| author_facet | Majharulislam Babor Olivier Paquet-Durand Christoph Berg Jochen Büchs Bernd Hitzmann |
| author_sort | Majharulislam Babor |
| collection | DOAJ |
| description | The use of 2D fluorescence spectra is a powerful, instantaneous, and highly accurate method to estimate the state of bioprocesses. The conventional approach for calibrating a chemometric model from raw spectra needs a large number of offline measurements from numerous runs, which is tedious, time-consuming, and error-prone. In addition, many process variables lack direct signal responses, which forces chemometric models to make predictions based on indirect responses. In order to predict glycerol and biomass concentrations online in batch cultivation of <i>Hansenula polymorpha</i>, this study substituted offline measurements with simulated values. The only data from cultivations needed to generate the chemometric model were the 2D fluorescence spectra, with the presumption that they contain sufficient information to characterize the process state at a measurement point. The remainder of the evaluation was carried out with the aid of a mathematical process model that describes the theoretical interferences between process variables in the system. It is shown that the process model parameters, including microbial growth rate, the yield of biomass from glycerol, and lag time can be determined from only the spectra by employing a model-based calibration (MBC) approach. The prediction errors for glycerol and biomass concentrations were 8.6% and 5.7%, respectively. An improved model-based calibration (IMBC) approach is presented that calibrates a chemometric model for only biomass. Biomass was predicted from a 2D fluorescence spectrum in new cultivations, and glycerol concentration was estimated from the process model utilizing predicted biomass as an input. By using this method, the prediction errors for glycerol and biomass were reduced to 5.2% and 4.7%, respectively. The findings indicate that model-based calibration, which can be carried out with only 2D fluorescence spectra gathered from prior runs, is an effective method for estimating the process state online. |
| first_indexed | 2024-03-11T08:50:50Z |
| format | Article |
| id | doaj.art-628a61e839a44d9ead94c05b221c3f43 |
| institution | Directory Open Access Journal |
| issn | 2311-5637 |
| language | English |
| last_indexed | 2024-03-11T08:50:50Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Fermentation |
| spelling | doaj.art-628a61e839a44d9ead94c05b221c3f432023-11-16T20:25:23ZengMDPI AGFermentation2311-56372023-01-01929510.3390/fermentation9020095Online Process State Estimation for <i>Hansenula polymorpha</i> Cultivation with 2D Fluorescence Spectra-Based Chemometric Model Calibrated from a Theoretical Model in Place of Offline MeasurementsMajharulislam Babor0Olivier Paquet-Durand1Christoph Berg2Jochen Büchs3Bernd Hitzmann4Department of Process Analytics and Cereal Science, University of Hohenheim, 70599 Stuttgart, GermanyDepartment of Process Analytics and Cereal Science, University of Hohenheim, 70599 Stuttgart, GermanyAVT—Aachener Verfahrenstechnik, Biochemical Engineering, RWTH Aachen University, Forckenbeckstraße 51, 52074 Aachen, GermanyAVT—Aachener Verfahrenstechnik, Biochemical Engineering, RWTH Aachen University, Forckenbeckstraße 51, 52074 Aachen, GermanyDepartment of Process Analytics and Cereal Science, University of Hohenheim, 70599 Stuttgart, GermanyThe use of 2D fluorescence spectra is a powerful, instantaneous, and highly accurate method to estimate the state of bioprocesses. The conventional approach for calibrating a chemometric model from raw spectra needs a large number of offline measurements from numerous runs, which is tedious, time-consuming, and error-prone. In addition, many process variables lack direct signal responses, which forces chemometric models to make predictions based on indirect responses. In order to predict glycerol and biomass concentrations online in batch cultivation of <i>Hansenula polymorpha</i>, this study substituted offline measurements with simulated values. The only data from cultivations needed to generate the chemometric model were the 2D fluorescence spectra, with the presumption that they contain sufficient information to characterize the process state at a measurement point. The remainder of the evaluation was carried out with the aid of a mathematical process model that describes the theoretical interferences between process variables in the system. It is shown that the process model parameters, including microbial growth rate, the yield of biomass from glycerol, and lag time can be determined from only the spectra by employing a model-based calibration (MBC) approach. The prediction errors for glycerol and biomass concentrations were 8.6% and 5.7%, respectively. An improved model-based calibration (IMBC) approach is presented that calibrates a chemometric model for only biomass. Biomass was predicted from a 2D fluorescence spectrum in new cultivations, and glycerol concentration was estimated from the process model utilizing predicted biomass as an input. By using this method, the prediction errors for glycerol and biomass were reduced to 5.2% and 4.7%, respectively. The findings indicate that model-based calibration, which can be carried out with only 2D fluorescence spectra gathered from prior runs, is an effective method for estimating the process state online.https://www.mdpi.com/2311-5637/9/2/95model-based calibrationchemometric model without offline measurementsonline state estimation2D fluorescence spectroscopy<i>Hansenula polymorpha</i> |
| spellingShingle | Majharulislam Babor Olivier Paquet-Durand Christoph Berg Jochen Büchs Bernd Hitzmann Online Process State Estimation for <i>Hansenula polymorpha</i> Cultivation with 2D Fluorescence Spectra-Based Chemometric Model Calibrated from a Theoretical Model in Place of Offline Measurements Fermentation model-based calibration chemometric model without offline measurements online state estimation 2D fluorescence spectroscopy <i>Hansenula polymorpha</i> |
| title | Online Process State Estimation for <i>Hansenula polymorpha</i> Cultivation with 2D Fluorescence Spectra-Based Chemometric Model Calibrated from a Theoretical Model in Place of Offline Measurements |
| title_full | Online Process State Estimation for <i>Hansenula polymorpha</i> Cultivation with 2D Fluorescence Spectra-Based Chemometric Model Calibrated from a Theoretical Model in Place of Offline Measurements |
| title_fullStr | Online Process State Estimation for <i>Hansenula polymorpha</i> Cultivation with 2D Fluorescence Spectra-Based Chemometric Model Calibrated from a Theoretical Model in Place of Offline Measurements |
| title_full_unstemmed | Online Process State Estimation for <i>Hansenula polymorpha</i> Cultivation with 2D Fluorescence Spectra-Based Chemometric Model Calibrated from a Theoretical Model in Place of Offline Measurements |
| title_short | Online Process State Estimation for <i>Hansenula polymorpha</i> Cultivation with 2D Fluorescence Spectra-Based Chemometric Model Calibrated from a Theoretical Model in Place of Offline Measurements |
| title_sort | online process state estimation for i hansenula polymorpha i cultivation with 2d fluorescence spectra based chemometric model calibrated from a theoretical model in place of offline measurements |
| topic | model-based calibration chemometric model without offline measurements online state estimation 2D fluorescence spectroscopy <i>Hansenula polymorpha</i> |
| url | https://www.mdpi.com/2311-5637/9/2/95 |
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