Bioprocess

About: Bioprocess is a research topic. Over the lifetime, 2219 publications have been published within this topic receiving 50972 citations.

Scale-up of a new bacterial mannitol production process.

Abstract: D-Mannitol is a sugar alcohol with applications in chemistry, food and pharmaceutical industries, and medicine. Commercially, mannitol is produced by catalytic hydrogenation. Although this process is widely used, it is not optimal for mannitol production. New processes, including chemical, enzymatic, and microbial processes, are frequently developed and evaluated against the existing hydrogenation processes. In earlier papers, we have described the identification of a food-grade lactic acid bacterium strain, Leuconostoc mesenteroides ATCC-9135, with efficient mannitol production capabilities and the development and optimization of a new bioprocess in which the strain was applied. The new bioprocess is simple. It requires a reduced bioreactor with the following features: sterilization, pH and T control (at mild conditions), and slow mixing. The contamination risk of the new bioprocess is low, and the downstream processing protocol comprises simple, widely used unit operations: evaporation, crystallization, crystal separation, and drying. On a 2-L laboratory scale, high mannitol yields from fructose (93-97%) and volumetric mannitol productivities (>20 g L(-1) h(-1)) were achieved. In this paper, the scalability of the new bioprocess was tested on a small pilot scale (100 L). In the pilot plant, production levels were achieved similar to those in the laboratory. Also, high-purity mannitol crystals were obtained at similar yield levels. The results presented in this paper indicate that the new bioprocess can easily be scaled-up to an industrial scale and that the production levels achieved with it are comparable to the catalytic hydrogenation processes.

Bioprocess factors affecting glycoprotein oligosaccharide structure.

Abstract: The oligosaccharide structures of glycoproteins can have a profound effect on properties critical to the development of glycoprotein products for human therapeutic or diagnostic use, including clearance rate, antigenicity, specific activity, solubility, resistance to thermal inactivation, and resistance to protease attack Therefore, it is important to understand how bioprocess factors influence oligosaccharide structure In this presentation, I will summarize literature data concerning potential effects of bioprocess factors on glycoprotein oligosaccharide biosynthesis These data are drawn from two recent detailed reviews published by our laboratory describing the effect of cell culture conditions on N-linked glycosylation (10) and the effects of other bioprocess factors on both N-linked and O-linked glycosylation (11)

Sniffing Out Trouble: Use of an Electronic Nose in Bioprocesses

Abstract: Given the considerable time and expense invested in a single bioprocess (fermentation) batch, variability and losses must be identified quickly. We propose that “sniffing” the odor of cultivation media and broth using instruments could provide a rapid and early indication of bioprocess performance. The human sensation of odor is related to the molecular composition of the vapor phase. The traditional approach to characterize volatile compounds has been sample extraction followed by GC−MS analysis. This approach is very tedious and requires some knowledge of the molecules involved. A new, alternate approach based on an “electronic nose” is now available which, like the human nose, can directly characterize the odor without reference to chemical composition. Here, an array of “conductive polymer” sensors with different chemical sensitivities produces a set of different responses to the same odor. The responses are analyzed mathematically, using pattern recognition techniques, to differentiate between different odors with a high level of sensitivity. In this report, we demonstrate the feasibility of using a commercially available electronic nose for the following applications: monitoring lot-to-lot variation in bioprocess medium ingredients, detecting microbial contamination early, and evaluating bioprocess performance during cultivation of microorganisms at inoculum and production stages.