Antonija Trontel

Production of lactate and acetate by Lactobacillus coryniformis subsp. torquens DSM 20004T in comparison with Lactobacillus amylovorus DSM 20531T

Lactobacillus coryniformis subsp. torquens DSM20004(T) is a d-lactate producer, with a portion of the d-lactate higher than 99.9% of total lactic acid produced. Acetate was identified as the second end-product that appeared at the end of the exponential growth phase in MRS medium when glucose concentration dropped to 38.41mM (6.92g/L). The acetate production was prolonged to the stationary phase, while the concentration of d-lactate remained constant. Other end-products were not identified by HPLC method. The known metabolic pathways of glucose fermentation in lactic acid bacteria do not produce the particular combination of these two end-products, but besides lactate and acetate also formate, ethanol and CO2 are produced. For comparison, the production of lactate and acetate by a d-/l-lactate producer Lactobacillus amylovorus DSM 20531(T) was also investigated. This strain produced equimolar quantities of d- and l-lactate in the MRS medium. Acetate was produced only when initial concentration of glucose was 55.51mM (10g/L) and production started in the exponential phase when concentration of glucose dropped to 35.52mM (6.40g/L). Similar behavior was observed with the initial concentration of maltose of 29.21mM (10g/L). An unstructured mathematical model was established for the bioprocess simulation.

Computational fluid dynamic (CFD) modeling of simultaneous extraction and fermentation process in a single sugar beet cossette

Abstract For simulations of flow and microbial conversion reactions, related to modeling of simultaneous extraction and fermentation process in a single sugar beet cossette a software package OpenFOAM was used. The mass transfer of the components (sucrose, glucose, fructose and ethanol) in the studied system was controlled by the convection and diffusion processes. Microbial conversion rates and yield coefficients were experimentally determined and/or estimated by mathematical simulation. Dimensions of the model sugar beet cossette (SBC) were: average length of cosettes 40.10 mm, average thickness 3.32 mm and average width 3.5 mm, and represented in the model as a square-shape cross-section mathematical simulation. Dimensions of the model sugar beet cossette (SBC) were: average length of cosettes 40.10 mm, average thickness 3.32 mm and average width 3.5 mm, and represented in the model as a square-shape cross-section used to study the mass transfer and microbial conversion rates on the scale of single sugar beet cossette in the short time scales (up to 25 s). This model can be used for simulation of extractant flow around single sugar beet cossette as well as for description of simultaneous extraction and fermentation process in the studied system.

Applying gas chromatography to monitor extracellular free amino acids content in cultivation medium during lactic acid fermentation

Abstract The aim of this work was the adaptation of a Gas Chromatographic-Flame Ionization Detector (GC-FID) method for detection and quantification of extracellular free amino acids in demineralized water, De Mann Rogosa Sharpe (MRS) medium and corn grits (CG) withdrawn during lactic acid fermentation. In order to analyze free amino acids by the GC-FID method it was necessary to convert free amino acids to volatile compounds. This was accomplished by derivatization of free amino acids with ethylchlor formate in aqueous medium followed by extraction of volatile free amino acid esters with chloroform. It was proven that the combination of derivatization and extraction procedure with developed GC-FID method gave accurate, reproducible and sensitive analytical results. Quantification of 15 (Ala, Gly, Val, Leu, Ile, Phe, Tyr, Trp, Asn, Met, Pro, Lys, His, Asp and Glu) out of 20 ethoxycarbonyl-ethyl esters of free amino acids in demineralized water and MRS medium was achieved by established methods. In corn grits medium all of the above mentioned 15 amino acids, except His, were quantified with this GC-FID method. The established method was efficiently verified in monitoring of extracellular free amino acid concentration during lactic acid production with Lactobacillus rhamnosus DSM 20021T in MRS medium and Lactobacillus amylovorus DSM 20531T in corn grits medium.