Details
| Original language | English |
|---|---|
| Pages (from-to) | 701-708 |
| Number of pages | 8 |
| Journal | Journal of Industrial Microbiology and Biotechnology |
| Volume | 39 |
| Issue number | 5 |
| Publication status | Published - 1 May 2012 |
Abstract
The goal of this study was to show that the metabolism of Klebsiella pneumoniae under different aeration strategies could be monitored and predicted by the application of chemometric models and fluorescence spectroscopy. Multi-wavelength fluorescence was applied to the on-line monitoring of process parameters for K. pneumoniae cultivations. Differences observed in spectra collected under aerobiosis and anaerobiosis can be explained by the different metabolic states of the cells. To predict process variables such as biomass, glycerol, and 1,3-propanediol (1,3-PD), chemometric models were developed on the basis of the acquired fluorescence spectra, which were measured continuously. Although glycerol and 1,3-PD are not fluorescent compounds, the results showed that this technique could be successfully applied to the on-line monitoring of variables in order to understand the process and thus improve 1,3-PD production. The root mean square errors of predictions were 0.78 units, 10 g/L, and 2.6 g/L for optical density, glycerol, and 1,3-PD, respectively.
Keywords
- 2D-fluorescence spectroscopy, Chemometrics, Klebsiella pneumonia, On-line bioprocess monitoring, Raw glycerol
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Biotechnology
- Chemical Engineering(all)
- Bioengineering
- Immunology and Microbiology(all)
- Applied Microbiology and Biotechnology
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In: Journal of Industrial Microbiology and Biotechnology, Vol. 39, No. 5, 01.05.2012, p. 701-708.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Chemometric modeling and two-dimensional fluorescence analysis of bioprocess with a new strain of Klebsiella pneumoniae to convert residual glycerol into 1,3-propanediol
AU - Rossi, Daniele Misturini
AU - Solle, Dörte
AU - Hitzmann, Bernd
AU - Ayub, Marco Antônio Záchia
N1 - Funding Information: The authors wish to thank CNPQ, CAPES, and FAPERGS (Brazil), and DAAD (Germany) for the financial support of this research.
PY - 2012/5/1
Y1 - 2012/5/1
N2 - The goal of this study was to show that the metabolism of Klebsiella pneumoniae under different aeration strategies could be monitored and predicted by the application of chemometric models and fluorescence spectroscopy. Multi-wavelength fluorescence was applied to the on-line monitoring of process parameters for K. pneumoniae cultivations. Differences observed in spectra collected under aerobiosis and anaerobiosis can be explained by the different metabolic states of the cells. To predict process variables such as biomass, glycerol, and 1,3-propanediol (1,3-PD), chemometric models were developed on the basis of the acquired fluorescence spectra, which were measured continuously. Although glycerol and 1,3-PD are not fluorescent compounds, the results showed that this technique could be successfully applied to the on-line monitoring of variables in order to understand the process and thus improve 1,3-PD production. The root mean square errors of predictions were 0.78 units, 10 g/L, and 2.6 g/L for optical density, glycerol, and 1,3-PD, respectively.
AB - The goal of this study was to show that the metabolism of Klebsiella pneumoniae under different aeration strategies could be monitored and predicted by the application of chemometric models and fluorescence spectroscopy. Multi-wavelength fluorescence was applied to the on-line monitoring of process parameters for K. pneumoniae cultivations. Differences observed in spectra collected under aerobiosis and anaerobiosis can be explained by the different metabolic states of the cells. To predict process variables such as biomass, glycerol, and 1,3-propanediol (1,3-PD), chemometric models were developed on the basis of the acquired fluorescence spectra, which were measured continuously. Although glycerol and 1,3-PD are not fluorescent compounds, the results showed that this technique could be successfully applied to the on-line monitoring of variables in order to understand the process and thus improve 1,3-PD production. The root mean square errors of predictions were 0.78 units, 10 g/L, and 2.6 g/L for optical density, glycerol, and 1,3-PD, respectively.
KW - 2D-fluorescence spectroscopy
KW - Chemometrics
KW - Klebsiella pneumonia
KW - On-line bioprocess monitoring
KW - Raw glycerol
UR - http://www.scopus.com/inward/record.url?scp=84863463426&partnerID=8YFLogxK
U2 - 10.1007/s10295-011-1075-8
DO - 10.1007/s10295-011-1075-8
M3 - Article
C2 - 22252443
AN - SCOPUS:84863463426
VL - 39
SP - 701
EP - 708
JO - Journal of Industrial Microbiology and Biotechnology
JF - Journal of Industrial Microbiology and Biotechnology
SN - 1367-5435
IS - 5
ER -