Fluorescence Spectroscopy and Chemometric Modeling for Bioprocess Monitoring
On-line sensors for the detection of crucial process parameters are desirable for the monitoring, control and automation of processes in the biotechnology, food and pharma industry. Fluorescence spectroscopy as a highly developed and non-invasive technique that enables the on-line measurements of su...
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| Format: | Online |
| Language: | English |
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MDPI
2015
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481931/ |
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pubmed-44819312015-06-29 Fluorescence Spectroscopy and Chemometric Modeling for Bioprocess Monitoring Faassen, Saskia M. Hitzmann, Bernd Review On-line sensors for the detection of crucial process parameters are desirable for the monitoring, control and automation of processes in the biotechnology, food and pharma industry. Fluorescence spectroscopy as a highly developed and non-invasive technique that enables the on-line measurements of substrate and product concentrations or the identification of characteristic process states. During a cultivation process significant changes occur in the fluorescence spectra. By means of chemometric modeling, prediction models can be calculated and applied for process supervision and control to provide increased quality and the productivity of bioprocesses. A range of applications for different microorganisms and analytes has been proposed during the last years. This contribution provides an overview of different analysis methods for the measured fluorescence spectra and the model-building chemometric methods used for various microbial cultivations. Most of these processes are observed using the BioView® Sensor, thanks to its robustness and insensitivity to adverse process conditions. Beyond that, the PLS-method is the most frequently used chemometric method for the calculation of process models and prediction of process variables. MDPI 2015-04-30 /pmc/articles/PMC4481931/ /pubmed/25942644 http://dx.doi.org/10.3390/s150510271 Text en © 2015 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/). |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Faassen, Saskia M. Hitzmann, Bernd |
| spellingShingle |
Faassen, Saskia M. Hitzmann, Bernd Fluorescence Spectroscopy and Chemometric Modeling for Bioprocess Monitoring |
| author_facet |
Faassen, Saskia M. Hitzmann, Bernd |
| author_sort |
Faassen, Saskia M. |
| title |
Fluorescence Spectroscopy and Chemometric Modeling for Bioprocess Monitoring |
| title_short |
Fluorescence Spectroscopy and Chemometric Modeling for Bioprocess Monitoring |
| title_full |
Fluorescence Spectroscopy and Chemometric Modeling for Bioprocess Monitoring |
| title_fullStr |
Fluorescence Spectroscopy and Chemometric Modeling for Bioprocess Monitoring |
| title_full_unstemmed |
Fluorescence Spectroscopy and Chemometric Modeling for Bioprocess Monitoring |
| title_sort |
fluorescence spectroscopy and chemometric modeling for bioprocess monitoring |
| description |
On-line sensors for the detection of crucial process parameters are desirable for the monitoring, control and automation of processes in the biotechnology, food and pharma industry. Fluorescence spectroscopy as a highly developed and non-invasive technique that enables the on-line measurements of substrate and product concentrations or the identification of characteristic process states. During a cultivation process significant changes occur in the fluorescence spectra. By means of chemometric modeling, prediction models can be calculated and applied for process supervision and control to provide increased quality and the productivity of bioprocesses. A range of applications for different microorganisms and analytes has been proposed during the last years. This contribution provides an overview of different analysis methods for the measured fluorescence spectra and the model-building chemometric methods used for various microbial cultivations. Most of these processes are observed using the BioView® Sensor, thanks to its robustness and insensitivity to adverse process conditions. Beyond that, the PLS-method is the most frequently used chemometric method for the calculation of process models and prediction of process variables. |
| publisher |
MDPI |
| publishDate |
2015 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4481931/ |
| _version_ |
1613240589347717120 |