Cost-effective dissolved oxygen monitor–controller for continuous culture

A number of devices for the control of the dissolved oxygen (DO) tension in small continuous cultures are now in use, but because of the sophisticated proportional control employed, are prohibitively expensive for many applications. This report describes a flexible cost-efficient DO monitor and controller which, including DO probe, valves, and gas solenoid, can be constructed for 400 dollars. The device employs two-position control of gas flow and agitation speed and is readily adaptable to a variety of application; Construction, operation, and performance in conjunction with a small fermentor are briefly discussed.     

Dissolved oxygen concentration regulation using auto-tuning proportional-integral-derivative controller in fermentation process

A novel control method involving an automatic tuning of digital proportional-integral-derivative controller parameters has been developed for better regulation of dissolved oxygen concentration by manipulating agitation speed in batch fermentation processes. Heuristic reasoning allows the proportional-integral-derivative controller to reach improved tuning decisions based upon the supervision of certain control performance indices in the same cognitive manner as in expert control.     

An electromic controller for maintaining low dissolved oxygen levels in a bench-top fermentor

An electronic dissolved oxygen controller for use with a bench-top fermentor is described. It was designed to give an accurate control of low dissolved oxygen levels by continuous regulation of the agitation speed.     

Phosphorimeters for analysis of decay profiles and real time monitoring of exponential decay and oxygen concentrations

A phosphorimeter which can be assembled at low cost from mainly commercially available components and which has better time resolution, data acquisition rate, sensitivity, and flexibility than commercially available instruments is described. As a phosphorescence analyzer the instrument can measure phosphorescence lifetimes ranging from approximately 30 microseconds to seconds from samples with variable intensity, excitation, and emission spectra and which may follow complex decay behavior. Configured as a phosphorescence monitor it is designed for fast, repetitive calculation of phosphorescence lifetime, assuming single-exponential decay, and can be used to calculate oxygen concentration in biological samples in real time.     

Control of dissolved oxygen concentration in mammalian cell culture using a computer-coupled mass flow controller

Summary A simple proportional control system for dissolved oxygen (DO) concentration in cell culture medium was developed by using a computer-coupled mass flow controller. The DO levels were very stable during the cultivation of Vero-6, while flow rates of air and/or oxygen enriched air were gradually changed depending on the DO concentration and the preset DO level. Vero-6 cells could grow normally to the confluence in the range of 30% and 50% of DO. Growth of Vero-6 at 10% of DO was markedly retarded.     

The study of neural network-based controller for controlling dissolved oxygen concentration in a sequencing batch reactor

The design and development of the neural network (NN)-based controller performance for the activated sludge process in sequencing batch reactor (SBR) is presented in this paper. Here we give a comparative study of various neural network (NN)-based controllers such as the direct inverse control, internal model control (IMC) and hybrid NN control strategies to maintain the dissolved oxygen (DO) level of an activated sludge system by manipulating the air flow rate. The NN inverse model-based controller with the model-based scheme represents the controller, which relies solely upon the simple NN inverse model. In the IMC, both the forward and inverse models are used directly as elements within the feedback loop. The hybrid NN control consists of a basic NN controller in parallel with a proportional integral (PI) controller. Various simulation tests involving multiple set-point changes, disturbances rejection and noise effects were performed to review the performances of these various controllers. From the results it can be seen that hybrid controller gives the best results in tracking set-point changes under disturbances and noise effects.     

Muscle contraction history: modified Hill versus an exponential decay model

In recent years, it has been recognised that improvements to classic models of muscle mechanical behaviour are often necessary for properly modelling co-ordinated multi-joint actions. In this respect, the purpose of the present study was to improve on modelling stretch-induced force enhancement and shortening-induced force depression of muscle contraction. For this purpose, two models were used: a modified Hill model and a model based loosely on mechano-chemistry of the cross-bridge cycle (exponential decay model). The models were compared with a classic Hill model and experimental data. Parameter values were based, as much as possible, on experimental findings in the literature, and tested with new experiments on the gastrocnemius of the rat. Both models describe many features of slow-ramp movements well during short contractions (300–500 ms), but long-duration behaviour is described only partly. The exponential decay model does not incorporate a force–velocity curve. Therefore, its good performance indicates that the status of the classic force–velocity characteristic may have to be reconsidered. Like movement-induced force depression and enhancement, it seems a particular manifestation of time-dependent force behaviour of muscle, rather than a fundamental property of muscle (like the length–tension curve). It is argued that a combination of the exponential decay model (or other models based on the mechano-chemistry of contraction) and structurally based models may be fruitful in explaining this time-dependent contraction behaviour. Furthermore, not in the least because of its relative simplicity, the exponential decay model may prove more suitable for modelling multi-joint movements than the Hill model. Received: 19 March 1999 / Accepted in revised form: 9 June 2000     

Inferior olive mirrors joint dynamics to implement an inverse controller

To produce smooth and coordinated motion, our nervous systems need to generate precisely timed muscle activation patterns that, due to axonal conduction delay, must be generated in a predictive and feedforward manner. Kawato proposed that the cerebellum accomplishes this by acting as an inverse controller that modulates descending motor commands to predictively drive the spinal cord such that the musculoskeletal dynamics are canceled out. This and other cerebellar theories do not, however, account for the rich biophysical properties expressed by the olivocerebellar complex’s various cell types, making these theories difficult to verify experimentally. Here we propose that a multizonal microcomplex’s (MZMC) inferior olivary neurons use their subthreshold oscillations to mirror a musculoskeletal joint’s underdamped dynamics, thereby achieving inverse control. We used control theory to map a joint’s inverse model onto an MZMC’s biophysics, and we used biophysical modeling to confirm that inferior olivary neurons can express the dynamics required to mirror biomechanical joints. We then combined both techniques to predict how experimentally injecting current into the inferior olive would affect overall motor output performance. We found that this experimental manipulation unmasked a joint’s natural dynamics, as observed by motor output ringing at the joint’s natural frequency, with amplitude proportional to the amount of current. These results support the proposal that the cerebellum—in particular an MZMC—is an inverse controller; the results also provide a biophysical implementation for this controller and allow one to make an experimentally testable prediction.     

Use of an oxygen microsensor for the determination of intrinsic kinetic parameters of an immobilized oxygen reducing enzyme

An oxygen microsensor was used to measure internal oxygen profiles in biocatalyst particles of different diameter and activity. The particles were made of agarose gel and contained an oxygen reducing enzyme, L-lactate mono-oxygenase. The kinetics of the enzyme could be well described by the Michaelis-Menten equation. From the internal substrate concentration profile the intrinsic kinetic parameters were determined by means of fitting a simulated profile to the measurements, using Marquardt's algorithm. The intrinsic kinetic parameters found following this procedure appeared to be independent of particle radius or enzyme loading used, proving the method to be reliable. These parameters were also compared with the kinetic parameters of the free enzyme which were determined in a biological oxygen monitoring system. The intrinsic kinetic parameters showed a decrease with a factor 2.3 for V(m) value and with a factor 2.7 for the K(m) value compared to the parameters for the free enzyme. From this the conclusion can be drawn that the immobilization as such or the carrier material not only can have an effect on the maximum intrinsic conversion rate (V(m)) but also on the affinity of the enzyme (K(m)) for oxygen.     

Estimation of fermentation biomass concentration by measuring oxygen uptake off-line with an oxygen electrode

Summary An indirect method for biomass determination was developed for aerobic cultivation in media containing solid substrates. This method involved off-line estimation of oxygen uptake with an oxygen electrode using a calibration factor and was applied to penicillin fermentation with Penicillium chrysogenum. The volumetric oxygen uptake rate was independent of the amount of sample sealed in the measuring cell. Storage of the sample for a period up to 2.5 h also had no influence on the rate of O₂ uptake. The specific O₂ uptake rate at 70 to 75 h fermentation time was used as the calibration factor to calculate the respiration-active part of the biomass. Specific penicillin V formation rates related to net dry weight, respiration-active biomass (X _A )and RNA content were compared. Only the penicillin V production rate related to X _A showed a similar behaviour as the penicillin V production rate related to RNA content. For this reason, it is assumed that X _A ,like RNA content, is more closely related to the metabolic state of the cells than the net dry weight. This method, therefore, provides a more suitable reference parameter for fermentation control than the generally used net dry weight.Offprint requests to: D. Siegmund     

Optimal harvesting with exponential growth in an environment with random disasters and bonanzas

The optimal discounted present value of an exploited population under constant effort harvesting in an environment with random disasters and bonanzas is investigated. The deterministic component of growth is density independent (also called Malthusian or exponential). The disasters and bonanzas are random, occurring at the times of events of a Poisson process. The density independent properties of the model and the constant effort open loop policy lead to an exact solution for the expected present value. The optimal expected present value is compared with those in deterministic models with and without deterministic type jumps. Both deterministic and random jumps can have a significant influence on the optimal present value. However, the effort to achieve the optimal is not sensitive to variations in the total jump frequency or in the discount rate. The average random jump model is much easier to apply than the deterministic jump model. Bonanzas can have much more of an effect on the present value than disasters given similar jump rates.     

Towards an on-line biochemical oxygen demand analyser

A simple, and effective tool to measure BOD with a 98% correlation to theoretical BOD values has been developed using a technique of continuous short term measurements of O₂ consumption rates. Measurement times are in the range of 5 to 10 h depending on the initial BOD, instead of 5 days required in the conventional BOD₅ analysis. A bioreactor containing calcium alginate entrapped activated sludge microorganisms was used with phenol and hydroxybutyric acid (HBA) as model substrates.