Continuous production of 7-Aminocephalosporanic acid by immobilized cells of Pseudomonas diminuta

The continuous production of 7-ACA with immobilized whole cells of P. diminuta was carried out in a tubular glass reactor at optimal conditions. The biocatalyst was prepared by gel entrapment using chitosan, geletin and agar as immobilizing agents. The micro-organism was characterized in terms of cell-to-carrier ratios, diffusional properties, as well as storage and operational stability, etc., towards the production of 7-ACA. It was found that a cell to carrier ratio of 0.45 and a flow rate of 120 mL h^?1, respectively, were most suitable for the conversion of CPC to 7-ACA. Operational stability was highest with chitosan, with a half life of 2106 h followed by gelatin, then agar as immobilizing supports.     

Effect of aeration rate on the anti-biofouling properties of cellulose acetate nanocomposite membranes in a membrane bioreactor system for the treatment of pharmaceutical wastewater

Abstract

The adhesiveness and stability of ubiquitously distributed biofilms is a significant issue in many areas such as ecology, biotechnology and medicine. The magnetic particle induction (MagPI) system allows precise determinations of biofilm adhesiveness at high temporal and spatial resolution on the mesoscale. This paper concerns several technical aspects to further improve the performance of this powerful experimental approach and enhance the range of MagPI applications. First, several electromagnets were built to demonstrate the influence of material and geometry with special regard to core remanence and magnetic strength. Secondly, the driving force to lift up the particles was evaluated and it was shown that both the magnetic field strength and the magnetic field gradient are decisive in the physics of the MagPI approach. The intricate combination of these two quantities was demonstrated with separate experiments that add permanent magnets to the MagPI system.     

Beyond heuristics: CFD-based novel multiparameter scale-up for geometrically disparate bioreactors demonstrated at industrial 2kL–10kL scales

The timely delivery of the most up-to-date medicines and drug products is essential for patients throughout the world. Successful scaling of the bioreactors used within the biopharmaceutical industry plays a large part in the quality and time to market of these products. Scale and topology differences between vessels add a large degree of complication and uncertainty within the scaling process. Currently, this approach is primarily achieved through extensive experimentation and facile empirical correlations, which can be costly and time consuming while providing limited information. The work undertaken in the current study demonstrates a more robust and complete approach using computational fluid dynamics (CFD) to provide potent multiparameter scalability, which only requires geometric and material properties before a comprehensive and detailed solution can be generated. The CFD model output parameters that can be applied in the scale-up include mass transfer rates, mixing times, shear rates, gas hold-up values, and bubble residence times. The authors examined three bioreactors with variable geometries and were able to validate them based on single-phase and multiphase experiments. Furthermore, leveraging the resulting CFD output information enabled the authors to successfully scale-up from a known 2kL to a novel and disparate 5kL single-use bioreactor in the first attempted cell culture. This multiparameter scaling approach promises to ultimately lead to a reduction in the time to market providing patients with earlier access to the most groundbreaking medicines.     

Optimization of medium with perfusion microbioreactors for high density CHO cell cultures at very low renewal rate aided by design of experiments

A novel approach of design of experiment (DoE) is developed for the optimization of key substrates of the culture medium, amino acids, and sugars, by utilizing perfusion microbioreactors with 2 mL working volume, operated in high cell density continuous mode, to explore the design space. A mixture DoE based on a simplex-centroid is proposed to test multiple medium blends in parallel perfusion runs, where the amino acids concentrations are selected based on the culture behavior in presence of different amino acid mixtures, and using targeted specific consumption rates. An optimized medium is identified with models predicting the culture parameters and product quality attributes (G0 and G1 level N-glycans) as a function of the medium composition. It is then validated in runs performed in perfusion microbioreactor in comparison with stirred-tank bioreactors equipped with alternating tangential flow filtration (ATF) or with tangential flow filtration (TFF) for cell separation, showing overall a similar process performance and N-glycosylation profile of the produced antibody. These results demonstrate that the present development strategy generates a perfusion medium with optimized performance for stable Chinese hamster ovary (CHO) cell cultures operated with very high cell densities of 60 × 10⁶ and 120 × 10⁶ cells/mL and a low cell-specific perfusion rate of 17 pL/cell/day, which is among the lowest reported and is in line with the framework recently published by the industry.     

Advances in bioreactor control for production of biotherapeutic products

Advanced control strategies are well established in chemical, pharmaceutical, and food processing industries. Over the past decade, the application of these strategies is being explored for control of bioreactors for manufacturing of biotherapeutics. Most of the industrial bioreactor control strategies apply classical control techniques, with the control system designed for the facility at hand. However, with the recent progress in sensors, machinery, and industrial internet of things, and advancements in deeper understanding of the biological processes, coupled with the requirement of flexible production, the need to develop a robust and advanced process control system that can ease process intensification has emerged. This has further fuelled the development of advanced monitoring approaches, modeling techniques, process analytical technologies, and soft sensors. It is seen that proper application of these concepts can significantly improve bioreactor process performance, productivity, and reproducibility. This review is on the recent advancements in bioreactor control and its related aspects along with the associated challenges. This study also offers an insight into the future prospects for development of control strategies that can be designed for industrial-scale production of biotherapeutic products.     

Novel fructooligosaccharide conversion from sugarcane syrup using a specialised enzymatic pH-stat bioreactor

Fructooligosaccharides (FOS) have gained significant attention for their prebiotic properties. Given that sugarcane syrup (SS) is sucrose-rich but with other nutritional benefits, its direct transformation into FOS may add value to this product. Therefore, the aims of this study were to develop FOS conversion from SS and to define the kinetic behaviour of FOS synthesized in a 1-L specialized pH-stat bioreactor (SPSB). The SS was composed of sucrose (58.93%) with considerable antioxidant capacities and Ƴ-aminobutyric acid. The developed SPSB process consisted of three stages: evaporation of sugarcane juice into syrup (68–75 °Brix) (stage 1), optimization of the Viscozyme L and SS mixture at different reaction temperatures (47–55 °C) (stage 2), and upscaling of the optimized reaction system under defined conditions in a 1 L-SPSB system (stage 3). In the 1 L-SPSB system, the enzymatic reaction yielded 32.22% of FOS from SS after a 6 h reaction, which is comparable with a pure system containing an equivalent concentration of 10% of sucrose as initial substrate with 39.55% yield. This result demonstrated the efficient conversion of SS into FOS, supporting the utilization of sugarcane juice for its health benefits.     

The effects of exposure to night shift work on liver function: A cross-sectional study with emphasis of alkaline phosphatase enzyme

ABSTRACT

Background: Previous studies have demonstrated that shift work can be significantly associated with adverse effects on liver function. However, the association between shift work and alkaline phosphatase (ALP) enzyme as a well-known biomarker of liver disease has been undefined. Methods: This cross-sectional study was conducted on a total number of 6,475 eligible oil refinery workers. According to shift work schedules, the participants divided to the following groups: 12-hr rotating night (n = 2,630) and 12-hr fixed day (n = 3845). The Spearman’s correlation and logistic regression were applied to assess the association between shift work and ALP. Results: We found significantly higher levels of ALP in 12-hr rotating night compared to 12-hr fixed-day shift work groups (196.2 ± 52.1 versus 191.5 ± 53.4). According to quartile (Q) logistic regression adjusted by significant variables between study group (age, body mass index, fasting blood sugar, and total cholesterol), the odds ratio and 95% confidence interval of high (Q2–<Q3 versus <Q1) and severe (≥Q3 versus <Q1) levels of ALP in 12-hr rotating night group in comparison to 12-hr fixed-day group were estimated as 1.26 (1.08–1.45) and 1.26 (1.09–1.45), respectively. Conclusions: This study indicated that 12-hr rotating night shift work may be associated with higher levels of ALP. More studies are needed to confirm our findings.     

Biotechnological potential for degradation of isoprene: a review

Isoprene, the ubiquitous, highly emitted non-methane volatile hydrocarbon, affects atmospheric chemistry and human health, and this makes its removal from the contaminated environment imperative. Physicochemical degradation of isoprene is inefficient and generates secondary pollutants. Therefore, biodegradation can be considered as the safer approach for its efficient abatement. This review summarizes efforts in this regard that led to tracking the diverse groups of isoprene degrading bacteria such as Methanotrophs, Xanthobacter, Nocardia, Alcaligenes, Rhodococcus, Actinobacteria, Alphaproteobacteria, Bacteriodetes, Pseudomonas, and Alcanivorax. Biodegradation of isoprene by such bacteria in batch and continuous modes has been elaborated. The products, pathways and the key enzymes associated with isoprene biodegradation have also been presented.     

Kinetic modeling as a tool to understand the influence of cell culture process parameters on the glycation of monoclonal antibody biotherapeutics

Glycation, the nonenzymatic reaction between the reducing sugar glucose and the primary amine residues on amino acid side chains, commonly occurs in the cell culture supernatant during production of therapeutic monoclonal antibodies (mAbs). While glycation has the potential to impact efficacy and pharmacokinetic properties for mAbs, the most common undesirable impact of glycation is on the distribution of charged species, often a release specification for commercial processes. Existing empirical approaches are usually insufficient to rationalize the effects of cell line and process changes on glycation. To address this gap, we developed a kinetic model for estimating mAb glycation levels during the cell culture process. The rate constant for glycation, including temperature and pH dependence, was estimated by fitting the kinetic model to time-course glycation data from bioreactors operated at different process settings that yielded a wide range of glycation values. The parameter values were further validated by independently estimating glycation rate constants using cell-free incubation studies at various temperatures. The model was applied to another mAb, by re-estimating the activation energy to account for effect of a glycation “hotspot”. The model was further utilized to study the role of temperature shift as an approach to reduce glycation levels in the manufacturing process for mAb2. While a downshift in temperature resulted in lowering of glycation levels for mAb2, the model helped elucidate that this effect was caused due to contribution from changes in glucose consumption, mAb secretion and temperature, instead of a direct impact of temperature alone on the kinetic rate of glycation.