Biospeckle‐characterization of hairy root cultures using laser speckle photometry

Monitoring is indispensable for the optimization and simulation of biotechnological processes. Hairy roots (hr, plant tissue cultures) are producers of valuable relevant secondary metabolites. The genetically stable cultures are characterized by a rapid filamentous growth, making monitoring difficult with standard methods. This article focuses on the application of laser speckle photometry (LSP) as an innovative, non‐invasive method to characterize Beta vulgaris (hr). LSP is based on the analysis of time‐resolved interference patterns. Speckle interference patterns of a biological object, known as biospeckles, are characterized by a dynamic behavior that is induced by physical and biological phenomena related to the object. Speckle contrast, a means of measuring the dynamic behavior of biospeckles, was used to assess the biospeckle activity. The biospeckle activity corresponds to processes modifying the object and correlates with the biomass growth. Furthermore, the stage of the cultures’ physiological development was assessed by speckle contrast due to the differentiation between active and low active behavior. This method is a new means of monitoring and evaluating the biomass growth of filamentous cultures in real time. As a potential tool to characterize hairy roots, LSP is non‐invasive, time‐saving, can be used online and stands out for its simple, low‐cost setup.     

Growth behavior in plant cell cultures based on emissions detected by a multisensor array

The use of a multisensor array based on chemical gas sensors to monitor plant cell cultures is described. The multisensor array, also referred to as an electronic nose, consisted of 19 different metal oxide semiconductor sensors and one carbon dioxide sensor. The device was used to continuously monitor the off-gas from two plant cell suspension cultures, Morinda citrifolia and Nicotiana tabacum, cultivated under batch conditions. By analyzing the multiarray responses using two pattern recognition methods, principal component analysis and artificial neural networks, it was possible to monitor the course of the cultivations and, in turn, to predict (1) the biomass concentration in both systems and (2) the formation of the secondary metabolite, antraquinone, by M. citrifolia. The results identify the multisensor array method as a potentially useful analytical tool for monitoring plant process variables that are otherwise difficult to analyze on-line.     

The application of multi-parameter flow cytometry to the study of recombinant <Emphasis Type="Italic">Escherichia coli</Emphasis> batch fermentation processes

Multi-parameter flow cytometric techniques coupled with dual colour fluorescent staining were used to study the physical and metabolic consequences of inclusion body formation in batch cultures of the recombinant Escherichia coli strain MSD3735. This strain contains a plasmid coding for the isopropylthiogalactopyranoside-inducible model eukaryotic protein AP50. It is known that the synthesis of foreign proteins at high concentrations can exert a severe metabolic stress on the host cell and that morphological changes can occur. In this work, using various points of induction, it was shown that inclusion body formation is followed immediately by measurable changes in the characteristic intrinsic light scatter patterns for the individual cell (forward scatter, 90° side scatter) and a concomitant progressive change in the individual cell physiological state with respect to both cytoplasmic membrane polarisation and permeability. This work establishes flow cytometry as a potentially valuable tool for monitoring recombinant fermentation processes, providing important information for scale-up. Further, we discuss the possibility of optimising inclusion body formation by manipulating the fermentation conditions based on these rapid real-time measurements.     

High-yield export of a native heterologous protein to the periplasm by the tat translocation pathway in Escherichia coli

Numerous high‐value recombinant proteins that are produced in bacteria are exported to the periplasm as this approach offers relatively easy downstream processing and purification. Most recombinant proteins are exported by the Sec pathway, which transports them across the plasma membrane in an unfolded state. The twin‐arginine translocation (Tat) system operates in parallel with the Sec pathway but transports substrate proteins in a folded state; it therefore has potential to export proteins that are difficult to produce using the Sec pathway. In this study, we have produced a heterologous protein (green fluorescent protein; GFP) in Escherichia coli and have used batch and fed‐batch fermentation systems to test the ability of the newly engineered Tat system to export this protein into the periplasm under industrial‐type production conditions. GFP cannot be exported by the Sec pathway in an active form. We first tested the ability of five different Tat signal peptides to export GFP, and showed that the TorA signal peptide directed most efficient export. Under batch fermentation conditions, it was found that TorA‐GFP was exported efficiently in wild type cells, but a twofold increase in periplasmic GFP was obtained when the TatABC components were co‐expressed. In both cases, periplasmic GFP peaked at about the 12 h point during fermentation but decreased thereafter, suggesting that proteolysis was occurring. Typical yields were 60 mg periplasmic GFP per liter culture. The cells over‐expressed the tat operon throughout the fermentation process and the Tat system was shown to be highly active over a 48 h induction period. Fed‐batch fermentation generated much greater yields: using glycerol feed rates of 0.4, 0.8, and 1.2 mL h^?1, the cultures reached OD₆₀₀ values of 180 and periplasmic GFP levels of 0.4, 0.85, and 1.1 g L^?1 culture, respectively. Most or all of the periplasmic GFP was shown to be active. These export values are in line with those obtained in industrial production processes using Sec‐dependent export approaches. Biotechnol. Bioeng. 2012; 109: 2533–2542. © 2012 Wiley Periodicals, Inc.     

Monitoring batch fermentations with an electronic tongue

An electronic tongue comprising 21 potentiometric chemical sensors with pattern recognition tools was used for the rapid off-line monitoring of batch Escherichia coli fermentations. The electronic tongue was capable of monitoring the changes in the media composition as the fermentation progressed, and could correlate this with an increase in biomass. The electronic tongue was also able to monitor the increase in organic acids, especially acetic acid, throughout the fermentation. This technique clearly shows promise as a rapid tool for fermentation monitoring.     

Rapid media transition: An experimental approach for steady state analysis of metabolic pathways

Commonly steady state analysis of microbial metabolism is performed under well defined physiological conditions in continuous cultures with fixed external rates. However, most industrial bioprocesses are operated in fed‐batch mode under non‐stationary conditions, which cannot be realized in chemostat cultures. A novel experimental setup—rapid media transition—enables steady state perturbation of metabolism on a time scale of several minutes in parallel to operating bioprocesses. For this purpose, cells are separated from the production process and transferred into a lab‐scale stirred‐tank reactor with modified environmental conditions. This new approach was evaluated experimentally in four rapid media transition experiments with Escherichia coli from a fed‐batch process. We tested the reaction to different carbon sources entering at various points of central metabolism. In all cases, the applied substrates (glucose, succinate, acetate, and pyruvate) were immediately utilized by the cells. Extracellular rates and metabolome data indicate a metabolic steady state during the short‐term cultivation. Stoichiometric analysis revealed distribution of intracellular fluxes, which differs drastically subject to the applied carbon source. For some reactions, the variation of flux could be correlated to changes of metabolite concentrations. © 2009 American Institute of Chemical Engineers Biotechnol. Prog., 2010     

Monitoring cellular state transitions in a production-scale CHO-cell process using an electronic nose

An electronic nose is used to monitor the bioreactor off-gas composition in perfused cultivations of a CHO-cell line producing recombinant human blood coagulation factor VIII. The applicability of the electronic nose for monitoring cellular state transitions and process control is explained. It is shown that the instrument can reveal characteristic process states related to product and lactate formation, and detect microbial infections in a very early stage of the infection. The visualization of ideal process conditions is realized by using principal component analysis (PCA) and the on-line applicability of this method is outlined. The results illustrate the potential of the electronic nose as on-line sensor for ensuring product and process quality in production-scale bioprocesses.     

Simultaneous saccharification and co‐fermentation of paper sludge to ethanol by Saccharomyces cerevisiae RWB222. Part II: Investigation of discrepancies between predicted and observed performance at high solids concentration

The simultaneous saccharification and co‐fermentation (SSCF) kinetic model described in the companion paper can predict batch and fed batch fermentations well at solids concentrations up to 62.4 g/L cellulose paper sludge but not in batch fermentation at 82.0 g/L cellulose paper sludge. Four hypotheses for the discrepancy between observation and model prediction at high solids concentration were examined: ethanol inhibition, enzyme deactivation, inhibition by non‐metabolizable compounds present in paper sludge, and mass transfer limitation. The results show that mass transfer limitation was responsible for the discrepancy between model and experimental data. The model can predict the value of high paper sludge SSCF in the fermentation period with no mass transfer limitation. The model predicted that maximum ethanol production of fed‐batch fermentation was achieved when it was run as close to batch mode as possible with the initial solids loading below the mass transfer limitation threshold. A method for measuring final enzyme activity at the end of fermentation was also developed in this study. Biotechnol. Bioeng. 2009; 104: 932–938. © 2009 Wiley Periodicals, Inc.     

A comparative study using the dual staining flow cytometric protocol applied to Lactobacillus rhamnosus and Bacillus licheniformis batch cultures

During microbial bioprocesses development, it is crucial monitoring cell stress response as such information determines the process efficiency.Multi-parameter flow cytometry coupled with fluorescent stains [PI and DiOC₆(3) (3,3′-dihexylocarbocyanine iodide)] was used to monitor bacterial batch cultures. It was observed that the most significant differences in the cell physiological responses of these microorganisms were observed at the early stationary phase. While Bacillus licheniformis batch culture displayed 91% of healthy cells, 1.3% of cells with depolarised cytoplasmic membrane and 8% of cells with both depolarised and permeabilised cytoplasmic membrane as the culture reached this phase, Lactobacillus rhamnosus batch culture displayed 66% of healthy cells, 29% of cells with depolarised cytoplasmic membrane and 5% of depolarised and permeabilised cytoplasmic membrane, at that stage. However, at the late stationary phase, both bacterial cultures showed a high proportion of polarised healthy cells, suggesting that the microorganisms could be using storage materials as a survival strategy.It was found that the double staining protocol using PI and DiOC₆(3) could be used to monitor cell physiological response of both bacterial batch cultures and provided important physiological information at the individual cell level that is difficult to obtain in any other way, which can be used to enhance bioprocesses efficiency.     

Real‐time monitoring of specific oxygen uptake rates of embryonic stem cells in a microfluidic cell culture device

Oxygen plays a key role in stem cell biology as a signaling molecule and as an indicator of cell energy metabolism. Quantification of cellular oxygen kinetics, i.e. the determination of specific oxygen uptake rates (sOURs), is routinely used to understand metabolic shifts. However current methods to determine sOUR in adherent cell cultures rely on cell sampling, which impacts on cellular phenotype. We present real‐time monitoring of cell growth from phase contrast microscopy images, and of respiration using optical sensors for dissolved oxygen. Time‐course data for bulk and peri‐cellular oxygen concentrations obtained for Chinese hamster ovary (CHO) and mouse embryonic stem cell (mESCs) cultures successfully demonstrated this non‐invasive and label‐free approach. Additionally, we confirmed non‐invasive detection of cellular responses to rapidly changing culture conditions by exposing the cells to mitochondrial inhibiting and uncoupling agents. For the CHO and mESCs, sOUR values between 8 and 60 amol cell^?1 s^?1, and 5 and 35 amol cell^?1 s^?1 were obtained, respectively. These values compare favorably with literature data. The capability to monitor oxygen tensions, cell growth, and sOUR, of adherent stem cell cultures, non‐invasively and in real time, will be of significant benefit for future studies in stem cell biology and stem cell‐based therapies.     

Modeling of yeast metabolism and process dynamics in batch fermentation

Much is known about yeast metabolism and the kinetics of industrial batch fermentation processes. In this study, however, we provide the first tool to evaluate the dynamic interaction that exists between them. A stoichiometric model, using wine fermentation as a case study, was constructed to simulate batch cultures of Saccharomyces cerevisiae. Five differential equations describe the evolution of the main metabolites and biomass in the fermentation tank, while a set of underdetermined linear algebraic equations models the pseudo-steady-state microbial metabolism. Specific links between process variables and the reaction rates of metabolic pathways represent microorganism adaptation to environmental changes in the culture. Adaptation requirements to changes in the environment, optimal growth, and homeostasis were set as the physiological objectives. A linear programming routine was used to define optimal metabolic mass flux distribution at each instant throughout the process. The kinetics of the process arise from the dynamic interaction between the environment and metabolic flux distribution. The model assessed the effect of nitrogen starvation and ethanol toxicity in wine fermentation and it was able to simulate fermentation profiles qualitatively, while experimental fermentation yields were reproduced successfully as well.     

Monitoring and control of the physiological state of cell cultures

Advances in bioprocess engineering depends ultimately on the level of understanding and control of the physiological state of the cell population. Process efficiency is strongly influenced by changes in the cellular state which should be monitored, interpreted, and, if possible, properly manipulated. In most control systems this function is not explicitly considered, which hampers process development and optimization. Conventional control logic is based on direct mapping of the growth environment into process efficiency, thereby bypassing the cell state as an intermediate control objective. Today, this limitation is well realized, and explicit monitoring and control of cellular physiology are considered to be among the most challenging tasks of modern bioprocess engineering. We present here a generic methodology for the design of systems capable of performing these advanced monitoring and control functions.The term "physiological state" is quantified by a vector composed of several process variables that convey significant information about cellular state. These variables can be selected among different classes, including specific metabolic rates, metabolic rate ratios, degees of limitation, and others. The real-time monitoring of many of these is possible using commercial sensors. The definition and calculation of representative sets of physiological state variables is demonstrated with examples from several fermentor cultures: recombinant Escherichia coli for phenylalanine production, bioluminescent E. coli (harboring lux genes driven by a heat shock protein promoter) for detection of environmental pollutants, plant cell culture of Perilla frutescensfor anthocyanin production, and perfusion cultures of recombinant mammalian cells (NS0 and CHO) for therapeutic protein production.If the physiological state vector is on-line calculated, the fermentation process can be described by its trajectory in a space defined by the vector components. Then, the goal of the control system is to maintain the physiological state of the cell as close as possible to the trajectory, providing maximum efficiency. A control structure meant to perform this function is proposed, along with the mechanism for its design. In contrast to conventional systems which work in a closed loop in respect to the cell environment, this scheme operates in a closed loop in respect to the cell state. The discussed control concept has been successfully applied to the recombinant phenylalanine production, resulting in physiologically consistent operation, total computer control, and high process efficiency. Initial results from the application of the method to perfusion mammalian cell cultures are also presented. (c) 1996 John Wiley & Sons, Inc.     

Novel method for early signs of clinical shock detection by monitoring blood capillary/vessel spatial pattern

The ability to monitor capillary/vessel spatial patterns and local blood volume fractions is critical in clinical shock detection and its prevention in Intensive Care Units (ICU). Although the causes of shock might be different, the basic abnormalities in pathophysiological changes are the same. To detect these changes, we have developed a novel method based on both spectrally and spatially resolved diffuse reflectance spectra. The preliminary study has shown that this method can monitor the spatial distribution of capillary/vessel spatial patterns through local blood volume fractions of reduced hemoglobin and oxyhemoglobin. This method can be used as a real‐time and non‐invasive tool for the monitoring of shock development and feedback on the therapeutic intervention. (© 2014 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Ethanol and lactic acid production from sugar and starch wastes by anaerobic acidification

Anaerobic conversion of carbohydrates can generate various end‐products. Besides physical parameters such as pH and temperature, the types of carbohydrate being fermented influences the fermentation pattern. Under uncontrolled pH, microbial mixed cultures from activated sludge and anaerobic digester sludge anaerobically produced ethanol from glucose while producing lactic acid from starch conversion. This trend was not only observed in batch trials. Also, continuous chemostat operation of anaerobic digester sludge resulted in the reproducible predominance of ethanol fermentation from glucose solution and lactic acid production from starch. Different feeding regimes and substrate availability (shock load versus continuous feeding) in glucose fermentation under non‐controlled pH did not affect the ethanol production as the major end product. Shifts in feed composition from glucose to starch and vice versa result in an immediate change of fermentation end products formation.     

Monitoring the aroma production during wine-must fermentation with an electronic nose.

This work discusses the feasibility of using the electronic nose for the on-line and real-time monitoring of the production of a complex aroma profile during a bioconversion process. As a case study, the formation of the muscatel aroma during the wine-must fermentation was selected. During wine-must fermentation, aroma compounds responsible for the organoleptic character are produced in the ppm range, while simultaneously one of the main metabolic products, ethanol, is produced in much higher quantities (up to 10% wt). Because the sensors of the electronic nose array are cross-selective to different volatile compounds, it was investigated in detail how far the electronic nose was able to evaluate the aroma profile along the fermentation. This article discusses and evaluates subsequently the integration of a membrane separation process-organophilic pervaporation-for selectively enriching aroma compounds relative to ethanol, to improve sample discrimination.     

Physiological state control of fermentation processes

In this article a novel approach to the control of fermentation processes is introduced. A "physiological state control approach" has been developed using the concept of representing fermentation processes through the current physiological state of the cell culture. No conventional mathematical model is required for the synthesis of such a control system.The main idea is based on the fact that during batch, feed-batch, or even continuous cultivation the physiological characteristics of the cell population, jointly expressed by the term "physiological state", are not constant but rather variable, which is reflected in expected or unexpected changes in the behavior of the control plant, and which requires flexible alteration of the current control strategy. The proposed approach involves decomposition of the physiological state space into several subspaces called "physiological situations." In every physiological situation the cell population expresses stable characteristics, and therefore an invariant control strategy can be effectively applied. The on-line functions of the physiological state control system consist of the calculation of physiological state variables, determination of the current physiological situation as an element of a previously defined set of known physiological situations, switching of the relevant control strategy, and calculation of the control action. Attention is focused on the synthesis of the novel and nonstandard part of the control system - the algorithm for online recognition of the current physiological state. To this end an effective approach, based on artificial intelligence methods, particularly fuzzy sets theory and pattern recognition theory, was developed. Its practical realization is demonstrated using data from a continuous fermentation process for single cell protein production.     

Dynamics of luminescence characteristics of Haematococcus lacustris cultures in different cultivation conditions

Luminescence of microalgae cultures is a valuable property for the fast diagnostics of their physiological state; however, it has been rarely used in algaculture practice. In this work, luminescence spectrum characteristics of two-stage batch cultures of the green carotenogenic microalga Haematococcus lacustris (Girod-Chantrans) Rostafinski 1875 (Chlorophyceae, Chlamydomonadales) under conditions of autotrophic and mixotrophic growth were investigated. The dynamics of the heterotrophy indices in cultures at different stages of their development in different growth media was determined. The transition of H. lacustris cultures from the initially autotrophic to mixotrophic growth regime was registered during the induction of the astaxanthin biosynthesis by complex physicochemical stressing, including nutritional deficiencies, exposure to high concentrations of sodium acetate and chloride and increased illuminance and temperature. The applicability of luminescence spectrometry in vivo for a rapid assessment of the state of H. lacustris cultures in various growth media and with different methods of secondary carotenogenesis induction was shown. The results obtained can be used in experimental studies on optimizing cultivation methods for this species, as well as for the express control of the physiological state of its industrial cultures.     

Monitoring growth phase-related changes in phosphatidylcholine-specific phospholipase C production,adhesion properties and physiology of <Emphasis Type="Italic">Bacillus cereus</Emphasis> vegetative cells

The physiological status and metabolic heterogeneity of Bacillus cereus cells within a culture during an 8-h batch fermentation process was measured using flow cytometry (FCM). Concurrently, production of the toxin, PC-PLC, and the extent of cell adhesion of live and dead cells were monitored using novel fluorescent assays. Flow cytometry analysis detected growth phase-related changes in the physiological profiles of cells over the course of the fermentation, with variation in the percentage of cells displaying membrane damage and intracellular esterase and redox activities. As the exponential phase proceeded, populations became more uniform in terms of protein content as measured using FCM in tandem with a cell tracking dye, with the majority of cells becoming membrane intact, esterase positive and redox active. PC-PLC activity appeared strongly related to cell density. Permeabilisation of cells was accompanied by a loss in adherent properties, while 25–100% of cells with intracellular esterase activity possessed adhesion properties. Cells in late exponential phase appeared to have reduced adherence properties compared to cells in early exponential or lag phase. As well as demonstrating the utility of FCM for measuring heterogeneity in terms of cell physiological status throughout the course of batch cultures, the methods utilised in this study could be used to relate processes such as toxin production or cell adhesion to cell physiological state.