This work is related to the set-up of overflowing exponential fed-batch cultures (O-EFBC) derived from carbon limited EFBC dedicated to the production of mycosubtilin, an antifungal lipopeptide belonging to the iturin family. O-EFBC permits the continuous removal of the product from the bioreactor achieving a complete extraction of mycosubtilin. This paper also provides a dynamical Monod-based growth model of this process that is accurate enough to simulate the evolution of the specific growth rate and to correlate it to the mycosubtilin specific productivity. Two particular and dependant phenomena related to the foam overflow are taken into account by the model: the outgoing flow rate of a broth volume and the loss of biomass. Interestingly, the biomass concentration in the foam was found to be lower than the biomass concentration in the bioreactor relating this process to a recycling one. Parameters of this model are the growth yield on substrate and the maximal specific growth rate estimated from experiments led at feed rates of 0.062, 0.071 and 0.086h(-1). The model was extrapolated to five additional experiments carried out at feed rates of 0.008, 0.022, 0.040, 0.042 and 0.062h(-1) enabling the correlation of the mean specific growth rates with productivity results. Finally, a feed rate of 0.086h(-1) corresponding to a mean specific growth rate of 0.070h(-1) allowed a specific productivity of 1.27mg of mycosubtiling(-1) of dried biomassh(-1).
An in situ microscope (ISM) device is utilised in this study to monitor hybridoma cells concentration in a stirred bioreactor. It generates images by using pulsed illumination of the liquid broth synchronised with the camera frame generation to avoid blur from the cell's motion. An appropriate image processing isolates the sharp objects from the blurred ones that are far from the focal plane. As image processing involves several parameters, this paper focuses on the robustness of the results of the cells counting. This stage determines the applicability of the measuring device and has seldom been tackled in the presentations of ISM devices. Calibration is secondly performed for assessing the cell-concentration from the cell automated numeration provided by the ISM. Flow cytometry and hemacytometer chamber were used as reference analytical methods. These measures and the output of the image processing allow estimating a single calibration parameter: the reference volume per image equal to 1.08 x 10(-6) mL. In these conditions, the correlation coefficient between both reference and ISM data sets becomes equal to 0.99. A saturation of this system during an ultrasonic wave perfusion phase that deeply changes the culture conditions is observed and discussed. Principal component analysis (PCA) is used to undergo the robustness study and the ISM calibration step.
Current state of the art to determine the viability of animal cell suspension cultures is based on sampling and subsequent counting using specific staining assays. We demonstrate for the first time a noninvasive in situ imaging cytometry capable of determining the statistics of a morphologic transition during cell death in suspension cultures. To this end, we measure morphometric inhomogeneity--defined as information entropy--in cell in situ micrographs. We found that the cells are partitioned into two discrete entropy states broadened by phenotypical variability. During the normal course of a culture or by inducing cell death, we observe the transition of cells between these states. As shown by comparison with ex situ diagnostics, the entropy transition happens before or while the cytoplasmatic membrane is loosing its ability to exclude charged dyes. Therefore, measurement of morphometric inhomogeneity constitutes a noninvasive assessment of viability in real time.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.