A substrate feeding strategy--using an oxystat for L-phenylalanine fermentation by Corynebacterium glutamicum

Summary A substrate feeding strategy using an oxystat was first successfully applied to a fed-batch phenylalanine fermentation. The control method allowed the fermentation to be under low dissolved oxygen tension, which was favourable phenylalanine formation, and to be from substrate inhibition during the course of fed-batch operation. The final product concentration was 3 times higher than in a batch culture.     

General characteristics of optimal feed rate profiles for various fed-batch fermentation processes

General Characteristics of the optimal feed rate profiles have been deduced for various fed-batch fermentation processes by analyzing singular controls and singular arcs. The optimal control sequences depend on the shapes of the specific growth and product formation rates, mu andpi, and the initial conditions. For fed-batch processes described by four mass balance equations, the most general optimal control sequence consists of a period of maximum feed rate, a period of minimum feed rate (a batch period), a period of singular feed rate (variable and intermediate), and a batch period. Degenerate sequences in which one or more periods are missing can result with a particular set of initial conditions. If the fermentation time is not critical, the singular control maximizes the net yield of product and only when the time is also important, it balances a trade off between the yield of product and the specific growth rate which dictates the fermentation time. With the sequence of optimal control known, the optimal feed rate profile determination is reduced to a problem of determining switching times.     

A dynamic fed batch strategy for a Pichia pastoris mixed feed system to increase process understanding

Mixed substrate feeding strategies are frequently investigated to enhance the productivity of recombinant Pichia pastoris processes. For this purpose, numerous fed batch experiments or time-consuming continuous cultivations are required to optimize control parameters such as the substrate mixing ratio and the applied methanol concentration. In this study, we decoupled the feeding of methanol and glycerol in a mixed substrate fed batch environment to gain process understanding for a recombinant P. pastoris Muts strain producing the model enzyme horseradish peroxidase. Specific substrate uptake rates (qs) were controlled separately, and a stepwise increased qGly-control scheme was applied to investigate the effect of various substrate fluxes on the culture. The qs-controlled strategy allowed a parallel characterization of the metabolism and the recombinant protein expression in a fed batch environment. A critical-specific glycerol uptake rate was determined, where a decline of the specific productivity occurred, and a time-dependent acceleration of protein expression was characterized with the dynamic fed batch approach. Based on the observations on recombinant protein expression, propositions for an optimal feeding design to target maximal productivities were stated. Thus, the dynamic fed batch strategy was found to be a valuable tool for both process understanding and optimization of product formation for P. pastoris in a mixed substrate environment.     

On the optimal control of fed-batch reactors with substrate-inhibited kinetics

The optimal feed rate profiles, for fed-batch fermentation that maximizes the biomass production and accounts for time, are analyzed. The solution can be found only if the final arc of the optimal control is a batch arc, since in this case the final concentrations of substrate and biomass can be determined by ulterior conditions on the mass balance and on the final growth rate of biomass and thus it is possible to solve the resulting time optimal problem by using Green's theorem. This evidences the "turnpike property" of the solution, which tries to spend the maximum time on or at least near the singular arc along which the substrate concentration is maintained constant. The optimality of the final batch arc is related to the time operational cost in the performance index. The sequence of the control depends on the initial conditions for which six different regions, with the respective patterns, have been identified, in case the performance index allows the control sequence to have a final batch.     

毕赤酵母高密度发酵工艺的研究

高密度发酵是毕赤酵母提高蛋白表达量的一种重要策略,发酵工艺是高密度发酵的一个重要因素。采用下列措施均可以有效地提高表达水平：调节基础培养基,采用变pH和变温发酵,提高DO,选择最适的诱导前菌体密度和比生长速率并降低甘油初始浓度和采用分段式指数流加进行调控。选择合适的甲醇补料策略：甲醇限制补料（MLFB）、氧气限制补料（OLFB）、甲醇不限制补料（MNLFB）和温度限制补料（TLFB）。采用两种方式调控补料：诱导阶段菌体生长时,甲醇比消耗速率(qMeOH)为0.02-0.03gg-1h-1,而菌体不生长时,qMeOH采用较高值。     

Optimization of biphasic growth of Saccharomyces carlsbergensis in fed-batch culture

The optimal glucose feeding policy for the fed-batch culture of Saccharomyces carlsbergensis is presented. The biphasic nature of growth results in a singular feed rate policy that is unique to this organism. When the operating cost is high, the reduction in operating time forces the cells to utilize both glucose and ethanol toward the end of fermentation time and results in a decreasing rate of glucose addition, unlike the normally observed in creasing feed rate. The optimal feeding policy depends heavily on the initial conditions and is highly sensitive to changes in kinetic parameters. A semiempirical scheme for feedback optimization is suggested for the fed-batch yeast culture.     

Detection of phase shifts in batch fermentation via statistical analysis of the online measurements: a case study with rifamycin B fermentation

Industrial production of antibiotics, biopharmaceuticals and enzymes is typically carried out via a batch or fed-batch fermentation process. These processes go through various phases based on sequential substrate uptake, growth and product formation, which require monitoring due to the potential batch-to-batch variability. The phase shifts can be identified directly by measuring the concentrations of substrates and products or by morphological examinations under microscope. However, such measurements are cumbersome to obtain. We present a method to identify phase transitions in batch fermentation using readily available online measurements. Our approach is based on Dynamic Principal Component Analysis (DPCA), a multivariate statistical approach that can model the dynamics of non-stationary processes. Phase-transitions in fermentation produce distinct patterns in the DPCA scores, which can be identified as singular points. We illustrate the application of the method to detect transitions such as the onset of exponential growth phase, substrate exhaustion and substrate switching for rifamycin B fermentation batches. Further, we analyze the loading vectors of DPCA model to illustrate the mechanism by which the statistical model accounts for process dynamics. The approach can be readily applied to other industrially important processes and may have implications in online monitoring of fermentation batches in a production facility.     

Modeling and advanced control of recombinant Zymomonas mobilis fed-batch fermentation

This work presents the development of an unstructured kinetic model incorporating the differing degrees of product, substrate, and pH inhibition on the kinetic rates of ethanol fermentation by recombinant Zymomonas mobilis CP4:pZB5 for growth on two substrates. Product inhibition was observed to start affecting the specific growth rate at an ethanol concentration of 20 g/L and the specific productivity at about 35-40 g/L. Specific growth rate was also shown to be more sensitive to inhibition by lowered pH as well. A model for the inhibition of two competing substrates' cellular uptake via membrane transport is proposed. Inhibition functions and model parameters were determined by fitting experimental data to the model. The model was utilized in a nonlinear model predictive control (NMPC) algorithm to control the product concentration during fed-batch fermentation to offset the inhibitory effects of product inhibition. Using the optimal feeding policy determined online, the volumetric productivity of ethanol was improved 16.6% relative to the equivalent batch operation when the final ethanol concentration was reached.     

Modeling of <Emphasis Type="Italic">Fusarium redolens</Emphasis> Dzf2 mycelial growth kinetics and optimal fed-batch fermentation for beauvericin production

Beauvericin (BEA) is a cyclic hexadepsipeptide mycotoxin with notable phytotoxic and insecticidal activities. Fusarium redolens Dzf2 is a highly BEA-producing fungus isolated from a medicinal plant. The aim of the current study was to develop a simple and valid kinetic model for F. redolens Dzf2 mycelial growth and the optimal fed-batch operation for efficient BEA production. A modified Monod model with substrate (glucose) and product (BEA) inhibition was constructed based on the culture characteristics of F. redolens Dzf2 mycelia in a liquid medium. Model parameters were derived by simulation of the experimental data from batch culture. The model fitted closely with the experimental data over 20–50 g l⁻¹ glucose concentration range in batch fermentation. The kinetic model together with the stoichiometric relationships for biomass, substrate and product was applied to predict the optimal feeding scheme for fed-batch fermentation, leading to 54% higher BEA yield (299 mg l⁻¹) than in the batch culture (194 mg l⁻¹). The modified Monod model incorporating substrate and product inhibition was proven adequate for describing the growth kinetics of F. redolens Dzf2 mycelial culture at suitable but not excessive initial glucose levels in batch and fed-batch cultures.     

Optimal substrate profile for antibiotic fermentations

The optimal substrate profile is calculated by Pontryagin's maximum principle for a simplified mathematical model of microbial growth and product formation. This model is fitted to experimental data of turimycin fermentation. Sub optimal control is studied for comparison.     

Physiologically Motivated Monitoring of Fermentation Processes by Means of an Electronic Nose

An on‐line approach of non‐invasive monitoring of the physiological changes in fermentation processes is presented. In yeast batch and bacterial fed‐batch fermentations it is shown that metabolic state changes can be revealed using an electronic nose. The transient responses of the gas sensors to the changes in the composition of the volatiles emitted from the cell cultures during fermentation are used to retrieve a semi‐quantitative representation of the physiological state of the cultures. With the sensor responses of the electronic nose it is shown that physiological variables such as rates of growth, substrate uptake and product formation can be depicted. The non‐invasive method thus seems as a pertinent alternative to conventional bioreactor monitoring methods.     

Model aided dynamic process analysis and optimization for the nourseothricin fermentation

The relation between product formation and growth kinetics could be characterized by two facts: the specific product formation rate depends on the ageing of the population and on the specific growth rate. These relation was formulated and quantified by a mathematical model, which was fitted to experimental data of a representative fermentation run und used to predict an optimal fermentation mode. In the result of this discussion cyclic fed batch fermentation was found to be optimal.     

重组毕赤酵母产青霉素G酰化酶的分批发酵动力学研究

构建了重组毕赤酵母产青霉素G酰化酶的分批发酵动力学模型。实验考察了分批发酵过程中甘油消耗、甲醇浓度、菌体浓度、溶氧、补料时间对青霉素G酰化酶活力的影响。应用Matlab软件,对菌体生长、基质消耗和产物生成方程进行最优参数估算和非线性拟合,得到相应的动力学模型。模型的计算值与实验值能较好地拟合,表明所建模型能较好反映重组毕赤酵母产青霉素G酰化酶的分批发酵过程。     

Maximum cell productivity by repeated fed-batch culture for constant yield case

Optimal operation of repeatedly fed-batch was determined by the continuous maximum principle for the constant yield case. The objective of maximum cell productivity for a fixed cell concentration was achieved by finding the substrate feeding policy that minimized the processing time. Analytical criteria for the optimal filling policy show that an exponential policy is optimum when the specific growth rate has a maximum, and also that operation in the simple repeated batch mode is optimum when the specific growth rate is monotonic increasing. Comparisons between optimal repeated fed-batch culture and other modes of operation were made for the case of substrate-inhibited growth. Cell productivity by repeated fed-batch exceeds both batch and continuous operation for the case of low residual substrate concentration.     

A maximum production strategy of lysine based on a simplified model derived from a metabolic reaction network

The aim of this study is to develop a strategy for maximum production of a target product with a simplified model derived from a metabolic reaction network through an example of lysine production. Based on the model, a search for the optimal specific growth rate profile was conducted among the available conditions of batch fermentation based on the derived model, when the total fermentation time was fixed. The optimal specific growth rate was obtained as a boundary control: initially, the specific growth rate was maintained at a maximum value and was subsequently switched to a critical value giving the maximum specific production rate. To make the specific growth rate follow this optimal profile as accurately as possible in batch mode, first, an appropriate initial concentration of leucine was employed in the experiment. Second, the feeding strategy of leucine was further studied. The specific growth rate profile with feeding was closer to the optimal one and the amount of lysine produced at the final stage of fermentation was increased about twofold, compared to that in the batch fermentation. Finally, the strategy was summarized as an algorithm for general use of this method.     

Alcoholic fermentation: modelling based on sole substrate and product measurement

Optimal automatic bioreactor control requires a mathematical model adapted to the potency of reliable sensors. A new relationship describing the kinetic behavior of alcoholic fermentation is discussed. By analogy with chemical kinetics, the biological rate of substrate consumption is related to substrate and product concentration by the following equation: \documentclass{article}\pagestyle{empty}\begin{document}$$r_s = kS;\alpha P;\beta$$\end{document} Using the well known yield relation between product and substrate, it is possible to describe in both batch and continuous cultures the ethanol and sugar concentrations versus time. This pattern has been successfully tested on several fermentations performed by yeasts (S. cerevisiae, S. bayanus, and S. cerevisiae sake) and a bacterium (Z. mobilis). This simple relationship is proposed as a tool for process control alcoholic fermentation.     

Optimization of solid substrate fermentation of wheat straw

Optimal conditions for solid substrate fermentation of wheat straw with Chaetomium cellulolyticum in laboratory-scale stationary layer fermenters were developed. The best pretreatment for wheat straw was ammonia freeze explosion, followed by steam treatment, alkali treatment, and simple autoclaving. The optimal fermentation conditions were 80% (w/w) moisture content; incubation temperature of 37 degrees C; 2% (w/w) unwashed mycelial inoculum; aeration at 0.12 L/h/g; substrate thickness of 1 to 2 cm; and duration of three days. Technical parameters for this optimized fermentation were: degree of substance utilization, 27.2%; protein yield/substrate, 0.09 g; biomass yield/bioconverted substrate, 0.40 g; degree of bioconversion of total available sugars in the substrate, 60.5%; specific efficiency of bioconversion, 70.8%; and overall efficiency of biomass production from substrate, 42.7%. Mixed culturing of Candida utilis further increased biomass production by 20%. The best mode of fermentation was a semicontinuous fed-batch fermentation where one-half of the fermented material was removed at three-day intervals and replaced by fresh substrate. In this mode, protein production was 20% higher than in batch mode, protein productivity was maintained over 12 days, and sporulation was prevented.     

赖氨酸流加发酵最优控制的研究

在赖氨酸发酵动力学模型和庞特里金明小值原理的基础上,得出流加发酵的最优化底物流加方式。并进一步对流加发酵的全过程进行了分析,得出了在实际控制中较为可行的流加发酵全过程的总控制策略,实际控制表明在小型反应器中赖氨酸产生菌FB42的发酵水平为81．6g／l。、转化率为0．418％、生产强度为1．16g／h·L,和分批发酵相比分别提高了45．4％、9．7％和28．4％。     

玉米芯稀酸水解及L-乳酸发酵研究

对玉米芯稀硫酸水解条件及糖化液发酵L-乳酸进行了初步研究。结果表明,玉米芯木聚糖最适水解条件为2%H2SO_4、120℃、30 min、固液比1:10,糖化液还原糖含量可达40.8 g/L,主要成分为木塘。细菌A-19可以利用水解液中的葡萄糖和木糖产酸,最适发酵条件为45℃、pH 6.5,从45℃～51℃、pH 5.5～pH 6.5产量均较高。用未浓缩的水解液发酵24 h,L-乳酸产量为30.6g/L,残糖为1.6 g/L,糖酸转化率为82.6%;用浓缩1倍的水解液发酵48 h,L-乳酸产量为41.4 g/L,残糖4.1g/L,糖酸转化率为68.2%,在发酵48 h后继续补料发酵至72 h(补料液为浓缩3倍的水解液),L-乳酸产量为50.9 g/L,残糖6.3 g/L,糖酸转化率为71.8%。该研究为利用木质纤维素生产L-乳酸奠定了一定基础。     

A novel feeding strategy for enhanced plasmid stability and protein production in recombinant yeast fedbatch fermentation

A novel feeding strategy in fedbatch recombinant yeast fermentation was developed to achieve high plasmid stability and protein productivity for fermentation using low-cost rich (non-selective) media. In batch fermentations with a recombinant yeast, Saccharomyces cerevisiae, which carried the plasmid pSXR125 for the production of beta-galactosidase, it was found that the fraction of plasmid-carrying cells decreased during the exponential growth phase but increased during the stationary phase. This fraction increase in the stationary phase was attributed to the death rate difference between the plasmid-free and plasmid-carrying cells caused by glucose starvation in the stationary phase. Plasmid-free cells grew faster than plasmid-carrying cells when there were plenty of growth substrate, but they also lysed or died faster upon the depletion of the growth substrate. Thus, pulse additions of the growth substrate (glucose) at appropriate time intervals allowing for significant starvation period between two consecutive feedings during fedbatch fermentation should have positive effects on stabilizing plasmid and enhancing protein production. A selective medium was used to grow cells in the initial batch fermentation, which was then followed with pulse feeding of concentrated non-selective media in fedbatch fermentation. Both experimental data and model simulation show that the periodic glucose starvation feeding strategy can maintain a stable plasmid-carrying cell fraction and a stable specific productivity of the recombinant protein, even with a non-selective medium feed for a long operation period. On the contrary, without glucose starvation, the fraction of plasmid-carrying cells and the specific productivity continue to drop during the fedbatch fermentation, which would greatly reduce the product yield and limit the duration that the fermentation can be effectively operated. The new feeding strategy would allow the economic use of a rich, non-selective medium in high cell density recombinant fedbatch fermentation. This new feeding strategy can be easily implemented with a simple IBM-PC based control system, which monitors either glucose or cell concentration in the fermentation broth.