On-line determination of intracellular beta-galactosidase activity in recombinant Escherichia coli using flow injection analysis (FIA).

A flow injection analysis (FIA) system was developed for the determination of cytoplasmic beta-galactosidase activity in recombinant Escherichia coli. The FIA system and its application for on-line monitoring of beta-galactosidase production during cultivation of recombinant E. coli in a 60-l airlift tower loop reactor is described. The results demonstrate that an FIA assay in conjunction with a cell disintegration step can be applied successfully for on-line monitoring of intracellular protein formation.     

FIA for on-line monitoring of important lactic acid fermentation variables

An automated system with semi on-line monitoring of glucose, lactic acid, protein, and optical density during lactic acid fermentations, is set up to study the dynamics of lactic acid bacteria. The analyzers for glucose, lactic acid, and protein are based on flow injection analysis (FIA). The system consists of a laboratory fermentor with a continuous withdrawal system and an analysis system where glucose, lactic acid, and protein concentration are measured together with the optical density of the fermentor sample. The system is controlled by a personal computer.The system response is fast, and it yields a large number of reliable and precise analytical data, whoch is of great importance for mathematical model building. Some premliminary results are shown.     

Short-term BOD (BODst) as a parameter for on-line monitoring of biological treatment process. Part I. A novel design of BOD biosensor for easy renewal of bio-receptor

A novel design of a biochemical oxygen demand (BOD) biosensor has been developed for on-line monitoring of easily biodegradable organic compounds in aqueous samples. The biological recognition element of the sensor could be easily renewed by injecting new bacterial paste without disassembling the sensor system. The sensor measurements were carried out in the initial-rate mode using a flow injection (FI) system, resulting in 60 s for one sample analysis followed by a recovery time less than 10 min. The sensor performance achieved showed a wide detection linearity over the range of 5-700 mg BOD5.l(-1) and a generally good agreement between the BOD values estimated by the biosensor and the conventional 5-day test. Furthermore, the precision test was in the control range (i.e. repeatability < or = /+/-7.5%/, reproducibility < or = /+/-7.3%/). The sensor could be used over 1 week in continuous test, however, the best performance was found within the first 24 h where standard deviation of the sensor response was +/-2.4%. The design of the sensor allows easy and fast renewal of the cells used as sensing elements. Replacement of biological recognition element and calibration of the sensor responses can be performed in a rather simple procedure on a daily regular basis. By using a mixed culture as the bio-receptor, one gets a sensor that reacts to a wide range of substrates. The new sensor construction will thus allow fast and convenient replacement of the bio-receptor and on-line assay of a broad range of substrates. This makes the sensor being an interesting and promising candidate for on-line monitoring of biological treatment process.     

Simultaneous on line monitoring of intracellular β-galactosidase activity and biomass using flow injection analysis inEscherichia coli batch fermentations

Summary A novel method to monitor on-line intracellular β-galactosidase activity and biomass simultaneously, using flow injection analysis (FIA), has been developed. The automatic ultrasonic cell disruption and FIA analysis allow the processing of 10 samples/hour with a wide and variable linear working range of β-galactosidase activity and biomass and a maximum relative standard deviation (RSD) of 1.5%. The system has been optimized by monitoring biomass and intracellular β-galactosidase activity inEscherichia coli batch fermentation.     

On-line determination of glucose in biotechnological processes: comparison between FIA and an in situ enzyme electrode.

Two different analysis techniques for on-line monitoring of glucose in biotechnological processes have been tested: an in situ enzyme electrode and a flow injection analysis system (FIA). The measuring ranges, detection limits, response times and the reliabilities of each system have been compared during monitoring of batch and continuous cultures of Saccharomyces cerevisiae.     

A flow injection analysis system for fermentation monitoring and control

An automated analysis system for on-line fermentation monitoring is presented. The modular system consists of an in-line sterilizeable crossflow microfilter, a selection valve that allows injection of sample or standards, a degassing unit, a dilution module, and a FIA manifold with a spectrophotometric UV/VIS detector. In the dilution module samples are conditioned and diluted depending upon concentration of analyte and the working range of the analyzer. Methods for the monitoring of glucose, ethanol, ammonia and phosphate are described. Results from the monitoring of glucose and their use in fermentation control are presented. The maximal analysis frequency is 30 samples per hour including the dilution of 1 : 200. Detection limits are 5 mg/L for ethanol and glucose, 1 mg/L for phosphate and 50 mg/L for ammonia.     

Esterase activity assay by flow injection analysis (FIA)

An automatic flow injection analysis (FIA) system for on-line determination of esterase activity has been developed. It is based on a colorimetric method using p-nitrophenyl propionate as substrate. The system permits a linear range analysis up to 0.18 U ml^–1, although the range can be extended up to 1 U ml^–1 without external dilution of the sample. The sampling frequency is of 4 samples per h with a relative standard deviation of 0.9%.     

On-line monitoring of monoclonal antibody formation in high density perfusion culture using FIA

An automated flow injection system for on-line analysis of proteins in real fermentation fluids was developed by combining the principles of stopped-flow, merging zones flow injection analysis (FIA) with antigen-antibody reactions. IgG in the sample reacted with its corresponding antibody (a-IgG) in the reagent solution. Formation of insoluble immunocomplexes resulted in an increase of the turbidity which was determined photometrically. This system was used to monitor monoclonal antibody production in high cell density perfusion culture of hybridoma cells. Perfusion was performed with a newly developed static filtration unit equipped with hydrophilic microporous tubular membranes. Different sampling devices were tested to obtain a cell-free sample stream for on-line product anlysis of high molecular weight (e.g., monoclonal antibodies) and low molecular weight (e.g., glucose, lactate) medium components. In fermentation fluids a good correlation (coefficient: 0.996) between the FIA method and an ELISA test was demonstrated. In a high density perfusion cultivation process mAb formation was succesfully monitored on-line over a period of 400 h using a reliable sampling system. Glucose and lactate were measured over the same period of time using a commercially available automatic analyser based on immobilized enzyme technology.Abbreviations TIA Turbidimetric immunoassay - mAb Monoclonal Antibody     

Solubilized substrates for the on-line measurement of lipases by flow injection analysis during chromatographic enzyme purification.

A flow injection analysis (FIA) system for the on-line measurement of lipases in chromatographic processes has been developed. The photometrically detectable substrates para-nitrophenylpalmitate, S,O,O'-tripropyryl-1-thioglycerol, and 1,2-O-dilauryl-rac-glycero-3-glutaric-resorufinester were investigated. Different detergents and qualities of assay emulsions were tested for optimal results in FIA applications. Emphasis was placed on increasing the stability of the assay emulsion. Lipases of different origin and specificity were detected. The linear detection range was adapted to the requirements of the chromatographic purification procedures. The connection of the FIA with a fast protein liquid chromatography system permitted the automatization of lipase purification by monitoring protein content, salinity, and enzyme activity of the effluent from column chromatography.     

Development of a gas diffusion FIA system for on-line monitoring of ethanol.

A flow injection analysis (FIA) system for on-line monitoring of ethanol in cultivation media was developed, which combines the selectivity of a gas diffusion membrane with the substrate specificity of immobilized alcohol oxidase (AOD). The optimization of membrane material and immobilized enzyme was performed using different FIA modes such as dual detection and dual injection. A simple modification of a polypropylene membrane with silicone enabled a very flexible adjustment of the linear range for alcohol detection between 0.0006 and 60% (v v-1). The ethanol content of cultivation media could be determined continuously with a frequency of 120-180 samples per hour with an excellent correlation to gas chromatographic analysis (r = 0.9996). The relative standard deviation for 10 successive injections was lower than 0.5%.     

Gas chromatography and gateway sensors for on-line state estimation of complex fermentations (butanol-acetone fermentation)

A fermentation system has been designed to demonstrate the use of gas chromatography (GC) for on-line monitoring of the butanol-acetone and other complex saccharolytic fermentations. Tangential flow ultrafiltration was used to sterilely and continuously obtain a cell-free filtrate from the fermentation broth for on-line GC analysis of butanol, butyrate, acetate, acetone, ethanol, and acetoin. The liquid injection system consists of a phosphoric acid contactor, a slider-type injection valve, and a heater to address the difficulties (ghosting) encountered in the analysis of carboxylic acids. The fermentation headspace gas was also analyzed by on-line GC for nitrogen and carbon dioxide, while hydrogen was measured by difference. Raw chromatographic data were analyzed by a chromatography data system. Both raw and processed data were transmitted to a VAX 11/750 computer for further processing (using the fermentation equation) and archiving. The fermentation equation, which has recently been derived and tested on completed fermentation data, was also found to be valid during transient fermentations and thus useful as a gateway sensor for calculating various fermentation parameters on-line. Such parameters include glucose concentration and gas composition, as well as a number of unobservable parameters (such as Y(ATP), excess ATP, and NAD reduced by FdH(2)), which characterize the state of the fermentation.     

An automated flow injection analysis system for on-line monitoring of glucose and L-lactate during lactic acid fermentation in a recycle bioreactor

The study concerns on-line sequential analysis of glucose and L-lactate during lactic acid fermentation using a flow injection analysis (FIA) system. Enzyme electrodes containing immobilized glucose oxidase and L-lactate oxidase were used with an amperometric detection system. A 12-bit data acquisition card with 16 analog input channels and 8 digital output channels was used. The software for data acquisition was developed using Visual C++, and was devised for sampling every hour for sequential analyses of lactate and glucose. The detection range was found to be 2–100 g l^–1 for glucose and 1–60 g l^–1 for L-lactate using the biosensors. This FIA system was used for monitoring glucose utilization and L-lactate production by immobilized cells of Lactobacillus casei subsp. rhamnosus during a lactic acid fermentation process in a recycle batch reactor. After 13 h of fermentation, complete sugar utilization and maximal L-lactate production was observed. A good agreement was observed between analysis data obtained using the biosensors and data from standard analyses of reducing sugar and L-lactate. The biosensors exhibited excellent stability during continuous operation for at least 45 days.     

Data model for the elimination of matrix effects in enzyme-based flow-injection systems

This contribution presents a new conceptional enzyme-based flow injection analysis (FIA) system for the process and quality control of food processing and biotechnological systems. It provides the determination of different analytes in distinct process media on the base of a common experimental set-up. In contrast to known comparable systems, analysis is performed without the commonly used sample preparation and dilution steps. Instead, the adaptation to the necessary measurement range is realized by optimization of intrinsic system parameters. The central principle of the work presented is the elimination of occurring interferences by the heterogeneous matrix of the process sample. Based on a particular injection mode, the application of dehydrogenases as indicator enzymes and a specially developed data model using cognitive methods, cross sensitivities of the detector as well as disturbed reaction rates of the enzymes could be almost completely compensated. Two applications are presented, the analysis of ethanol in non-alcoholic beer and the online determination of D-/L-lactate during a lactic acid fermentation, which reveal the advantage of the developed system.     

On-line monitoring and control of substrate concentrations in biological processes by flow injection analysis systems

Concentrations of substrates, glucose, and ammionia in biological processes have been on-line monitored by using glucose-flow injection (FIA) and ammonia-FIA systems. Based on the on-line monitored data the concentrations of substrates have been controlled by an on-off controller, a PID controller, and a neural network (NN) based controller. A simulation program has been developed to test the control quality of each controller and to estimate the control parameters. The on-off controller often produced high oscillations at the set point due to its low robustness. The control quality of a PID controller could have been improved by a high analysis frequency and by a short residence time of sample in a FIA system. A NN-based controller with 3 layers has been developed, and a 3(input)-2(hidden)-1(output) network structure has been found to be optimal for the NN-based controller. The performance of the three controllers has been tested in a simulated process as well as in a cultivation process ofSaccharomyces cerevisiae, and the performance has also been compared to simulation results. The NN-based controller with the 3-2-1 network structure was robust and stable against some disturbances, such as a sudden injection of distilled water into a biological process.     

On-line monitoring of enzymes in downstream processing by flow injection analysis (FIA)

Flow injection analysis (FIA) has been employed to automate enzyme assays for formate dehydrogenase (FDH) and l-leucine dehydrogenase (l-LeuDH). Coupled to a special sampling device the FIA assays were used to monitor on-line downstream processes, e.g. disintegration of microbial cells and cross-flow filtration of cell homogenates.     

A flow injection flow cytometry system for on-line monitoring of bioreactors

For direct and on-line study of the physiological states of cell cultures, a robust flow injection system has been designed and interfaced with flow cytometry (FI-FCM). The core of the flow injection system includes a microchamber designed for sample processing. The design of this microchamber allows not only an accurate on-line dilution but also on-line cell fixation, staining, and washing. The flow injection part of the system was tested by monitoring the optical density of a growing E.coli culture on-line using a spectrophotometer. The entire growth curve, from lag phase to stationary phase, was obtained with frequent sampling. The performance of the entire FI-FCM system is demonstrated in three applications. The first is the monitoring of green fluorescent protein fluorophore formation kinetics in E.coli by visualizing the fluorescence evolution after protein synthesis is inhibited. The data revealed a subpopulation of cells that do not become fluorescent. In addition, the data show that single-cell fluorescence is distributed over a wide range and that the fluorescent population contains cells that are capable of reaching significantly higher expression levels than that indicated by the population average. The second application is the detailed flow cytometric evaluation of the batch growth dynamics of E.coli expressing Gfp. The collected single-cell data visualize the batch growth phases and it is shown that a state of balanced growth is never reached by the culture. The third application is the determination of distribution of DNA content of a S. cerevisiae population by automatically staining cells using a DNA-specific stain. Reproducibility of the on-line staining reaction shows that the system is not restricted to measuring the native properties of cells; rather, a wider range of cellular components could be monitored after appropriate sample processing. The system is thus particularly useful because it operates automatically without direct operator supervision for extended time periods.     

On-line monitoring of glucose in mammalian cell culture using a flow injection analysis (FIA) mediated biosensor

A flow injection analysis (FIA) biosensor system has been developed for on-line determination of glucose during mammalian cell cultivation. The culture sample was peristaltically withdrawn from the bioreactor and after cell separation by a steam sterilizable ceramic microfilter, the filtrate was continuously fed to the FIA mediated-biosensor system at 4 mLh(-1), whereas the cell-containing retentate was recirculated to the bioreactor. In the amperometric biosensor system, glucose oxidase was covalently immobilized onto a preactivated nylon membrane and attached to the sensing area of a platinum working electrode. The enzyme reaction was coupled with the mediator 1,1'-dimethylferricinium (DMFe(+))-cyclodextrin inclusion complex to recycle the reduced glucose oxidase to its original active state. 1,1'-Dimethylferrocene (DMFe) was then reoxidized to DMFe(+) at the surface of the platinum electrode poised at + 0.15 V vs silver/silver chloride. The FIA mediated-biosensor was linear up to 6 mM glucose, with a detection limit of 0.1 mM, and possessed excellent reproducibility (+/- 0.4 %, 95 % confidence interval) over 123 repeated analyses during a 62 h continuous operation. The immobilized glucose oxidase was stable for up to 7 days when applied to glucose measurement during 5-10 day fed-batch cultivation of 293S mammalian cells. The results obtained from the mediated-biosensor system compared well with the hexokinase and HPLC data. (c) 1997 John Wiley & Sons, Inc. Biotechnol Bioeng 55: 497-504, 1997.     

Prerequisites for the on-line control of microbial processes by flow injection analysis.

Problems associated with the use of biosensors in process control, e.g. difficulties of sterilization and sensor fouling, are shortly displayed, and possibilities to overcome them are outlined. The advantages of flow injection analysis (FIA) are demonstrated and examples for efficient sampling systems connected with this method are reviewed. Special emphasis is given to problem-orientated sample pretreatments, preventing fast inactivation of immobilized enzymes in the analysis system. Examples of problem-orientated sample pretreatment units are given. A proposal for a computer-controlled self-calibrating FIA system is given.     

Aspects Affecting Biosynthesis and Biotransformation of Secondary Metabolites in Plant Cell Cultures

Abstract

Biosensors are useful analytical devices that can be integrated with on-line process monitoring schemes. In this article, the principles and applications of these devices for bioprocess monitoring are considered. Several different types of biosensors are described, and the applications and limitations of flow injection analysis (FIA) for these applications are discussed. It is hoped that the background provided here can be useful to researchers in this area.