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 -