Search

The application of in situ near-infrared spectroscopy monitoring of xylose metabolizing yeast such as Pichia stipitis for ethanol production with semisynthetic media, applying chemometrics, was investigated. During the process in a bioreactor, biomass, glucose, xylose, ethanol, acetic acid, and glycerol determinations were performed by a transflection probe immersed in the culture broth and connected to a near-infrared process analyzer. Wavelength windows in near-infrared spectra recorded between 800 and 2200 nm were pretreated using Savitzky-Golay smoothing, second derivative and multiplicative scattering correction in order to perform a partial least squares regression and generate the calibration models. These calibration models were tested by external validation (78 samples). Calibration and validation criteria were defined and evaluated in order to generate robust and reliable models for an alcoholic fermentation process matrix. Moreover, regressions coefficients (β) and variable influence in the projection plots were used to assess the results. A novelty is the use of β versus VIP dispersion plots to determine which vectors have more influence on the response in order to improve process comprehension and operability. Validated models were used in a real-time monitoring during P. stipitis NRRL Y7124 semisynthetic media fermentations.

The application feasibility of in-situ or in-line monitoring of S. cerevisiae ITV01 alcoholic fermentation process, employing Near-Infrared Spectroscopy (NIRS) and Chemometrics, was investigated. During the process in a bioreactor, in the complex analytical matrix, biomass, glucose, ethanol and glycerol determinations were performed by a transflection fiber optic probe immersed in the culture broth and connected to a Near-Infrared (NIR) process analyzer. The NIR spectra recorded between 800 and 2,200 nm were pretreated using Savitzky-Golay smoothing and second derivative in order to perform a partial least squares regression (PLSR) and generate the calibration models. These calibration models were tested by external validation and then used to predict concentrations in batch alcoholic fermentations. The standard errors of calibration (SEC) for biomass, ethanol, glucose and glycerol were 0.212, 0.287, 0.532, and 0.296 g/L and standard errors of prediction (SEP) were 0.323, 0.369, 0.794, and 0.507 g/L, respectively. Calibration and validation criteria were defined and evaluated in order to generate robust and reliable models for an alcoholic fermentation process matrix. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:510-517, 2016.

At high glucose concentrations, Escherichia coli produces acetate (Crabtree effect). To look for the influence of glucose and/or acetate in the medium on the expression of a recombinant gene in E. coli, the effect of a pulse addition of glucose, on transcription of a cloned E. coli gapA gene and the resulting glyceraldehyde-3P-dehydrogenase activity (GAPDH), was tested during continuous cultivation of E. coli HB101 transformed with the plasmid pBR::EcogapA. Stable continuous cultures were established in a semi-synthetic medium supplemented with 5 g/L of glucose. After the addition of 7 g of glucose within a few seconds, gapA gene expression was strongly and very rapidly induced. As shown by primer-extension analysis, promoter P1, one of the four transcriptional promoters of the gapA gene, was strongly activated, and GAPDH activity increased. However, after rapid glucose consumption, acetate was produced and acetate concentrations above 2 g/L induced stress conditions. This is shown by a strong activation of promoter P2, that is recognized by the stress specific Esigma32 RNA polymerase. During this period, the total cellular RNA content was strongly diminished. Later, when acetate was partially consumed a high level of total RNA was restored, translation was efficient and a regular increase of the GAPDH-specific activity was observed. The transitions between glucose metabolism, acetate production and the end of acetate consumption, were marked by large increases in RNase and protease activities. For comparison, pulse-addition experiments were also performed with serine and alanine. A transient increase of GAPDH production associated with an increase in biomass was also found for serine that can be utilized as an energy source, whereas the addition of alanine, which is only incorporated into newly synthesized proteins, did not increase GAPDH production. The implication of these data for overproduction of recombinant proteins in E. coli is discussed.