Application of Scanning Fluorometry for Monitoring of a Fermentation Process
Abstract
Conventional observation of a fermentation process by using NAD(P)H-dependent fluorescence provides a mean for cell monitoring, but its practical application has been very limited due to many factors that affect culture fluorescence. In this work we studied correlation of scanning fluorometry signals with various process variables and with cell metabolic states and showed that scanning fluorometry is more informative than conventional NAD(P)H-dependent fluorescence. A stepwise multiple-regression procedure has been used to select meaningful signals from the whole spectrum, and we found that with three or four components of the excitation-emission plane the process variables can be portrayed with a rather good accuracy. The approach is demonstrated on the examples of wild-type or recombinant Escherichia coli and Saccharomyces cerevisiae fermentations.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The main difficulties for the restricted application of optical sensors are interferences that influence the quality of fluorescence spectra, such as turbidity, gas bubbles, and fouling.
“The main difficulties described for the restricted application of this technology to date are mostly due to interferences that influence the quality of the fluorescence spectra, such as turbidity, gas bubbles, and fouling (Tartakovsky et al., 1996; Marose et al., 1999; Ulber et al., 2003).”
From Perspectives of fluorescence spectroscopy for online monitoring in microalgae industry (2022) · cites this paper as Tartakovsky et al., 1996
NADH fluorescence intensity signal has a good correlation with biomass concentration and its metabolic state.
“NADH is a highly fluorescent molecule, and it is known that the fluorescence intensity signal has a good correlation with the biomass concentration and its metabolic state (Tartakovsky et al., 1996; Marose et al., 1999; Schügerl, 2001; Pons et al., 2004).”
From Perspectives of fluorescence spectroscopy for online monitoring in microalgae industry (2022) · cites this paper as Tartakovsky et al., 1996
Cited by
Sorted by citations
Sensor systems for bioprocess monitoring
Biechele, P., Busse, C., Solle, D., Scheper, T., & Reardon, K. (2015) · Engineering in Life Sciences · doi:10.1002/elsc.201500014 · Cited by 224 · see citing works
Self-citationOn-Line Monitoring of Large Cultivations of Microalgae and Cyanobacteria
Havlik, I., Lindner, P., Scheper, T., & Reardon, K. F. (2013) · Trends in Biotechnology · doi:10.1016/j.tibtech.2013.04.005 · Cited by 131 · see citing works
Self-citationOptical sensor systems for bioprocess monitoring
Marose, S. (1999) · Trends in biotechnology · doi:10.1016/s0167-7799(98)01247-5 · Cited by 102 · see citing works
Perspectives of fluorescence spectroscopy for online monitoring in microalgae industry
Sá, M., Ferrer‐Ledo, N., Gao, F., Bertinetto, C. G., Jansen, J., Crespo, J. G., Wijffels, R. H., Barbosa, M., & Galinha, C. F. (2022) · Microbial Biotechnology · doi:10.1111/1751-7915.14013 · Cited by 29 · see citing works
“NADH is a highly fluorescent molecule, and it is known that the fluorescence intensity signal has a good correlation with the biomass concentration and its metabolic state (Tartakovsky et al., 1996; Marose et al., 1999; Sch€ ugerl, 2001; Pons et al., 2004).”
BackgroundMethodPodrazký, O., Kuncová, G., Krasowska, A., & Sigler, K. (2003) · Folia Microbiologica · doi:10.1007/bf02930954 · Cited by 22 · see citing works
- Authors
- Tartakovsky, B., Sheintuch, M., Hilmer, J.-M., & Scheper, T.
- Affiliations
- Technion – Israel Institute of Technology (IL)
- University of Münster (DE)
- Corresponding author
- Sheintuch, M.
- Venue
- Biotechnology Progress
- Publisher
- Wiley
- Published
- 1996-02-05
- Volume
- 12
- Issue
- 1
- Pages
- 126-131
- ISSN
- 1520-6033 (ISSN-L)
- 8756-7938
- OpenAlex
- W2077067570
- Cited by
- 69
- References
- 0
- Citations by year
- 2023: 1 · 2022: 3 · 2021: 1 · 2020: 1 · 2019: 2 · 2018: 1 · 2017: 2 · 2016: 4 · 2015: 2 · 2013: 1
- FWCI
- 4.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Biotechnology Progress (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Minerva Foundation
- Topics
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Physical Sciences › Environmental Science › Waste Management and Disposal › Water Quality Monitoring and Analysis
- Keywords
- fermentation monitoring, excitation and emission spectra, process parameters, Escherichia coli fermentation, Saccharomyces cerevisiae fermentation, multiple linear regression
- MeSH terms
- Anti-Bacterial Agents, Culture Media, Escherichia coli, Fermentation, Fluorometry, NADP, Saccharomyces cerevisiae
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
