Ethanol production in multistage continuous, single stage continuous, Lactobacillus-contaminated continuous, and batch fermentations

Saccharomyces cerevisiae-based ethanol fermentations were conducted in batch culture, in a single stage continuous stirred tank reactor (CSTR), a multistage CSTR, and in a fermentor contaminated with Lactobacillus that corresponded to the first fermentor of the multistage CSTR system. Using a glucose concentration of 260 g l^–1 in the medium, the highest ethanol concentration reached was in batch (116gl^–1), followed by the multistage CSTR (106gl^–1), and the single stage CSTR continuous production system (60gl^–1). The highest ethanol productivity at this sugar concentration was achieved in the multistage CSTR system where a productivity of 12.7gl^–1h^–1 was seen. The other fermentation systems in comparison did not exceed an ethanol productivity of 3gl^–1h^–1. By performing a continuous ethanol fermentation in multiple stages (having a total equivalent working volume of the tested single stage), a 4-fold higher ethanol productivity was achieved as compared to either the single stage CSTR, or the batch fermentation.     

Variable-volume continuous cultivation

Equations are developed which describe variable-volume cultivations, including fed-batch systems. An analogy is drawn between the quasi-steady state in variable-volume cultivation and a dynamic steady state in variable-flow, constant-volume chemostat bioreactors. Switching procedures are developed to give a steady-state transition from batch to fed-batch and to continuous operation. In this respect, considerations in the literature have been extended. Computer solutions of the governing differential equations verify the theory and provide insight into the behavior of variable-volume stirred tank reactors. Application of variable-volume cultivation as a tool in investigating growth rates at low substrate levels is suggested. Variable-volume bioreactor systems could be also to obtain controlled dynamic conditions for research or production purposes.     

Modeling continuous bioleach reactors

The results of recent research have shown that the bioleaching of sulfide minerals occurs via a two‐step mechanism. In this mechanism, the sulfide mineral is chemically oxidized by the ferric‐iron in the bioleaching liquor. The ferrous‐iron produced is subsequently oxidized to ferric‐iron by the microorganism. Further research has shown that the rates of both the ferric leaching and ferrous‐iron oxidation are governed by the ferric/ferrous‐iron ratio (i.e., the redox potential). During the steady‐state operation of a bioleach reactor, the rate of iron turnover between the chemical ferric leaching of the mineral and the bacterial oxidation of the ferrous‐iron will define the rate and the redox potential at which the system will operate. The balance between the two rates will in turn depend on the species used, the microbial concentration, the residence time employed, the nature of the sulfide mineral being leached, and its active surface area. The model described proposes that the residence time and microbial species present determine the microbial growth rate, which in turn determines the redox potential in the bioleach liquor. The redox potential of the solution, in turn, determines the degree of leaching of the mineral; that is, conversion in the bioleach reactor. © 1999 John Wiley & Sons, Inc. Biotechnol Bioeng 64: 671–677, 1999.     

Kinetics of continuous cultivation

Kinetic, studies were made on continuous cultivation applying the theory of microbial cell growth that was derived previously by the authors introducing the concepts of critical concentration and coefficient of consumption activity. General equations for microbial cell concentration for continuous cultivation in continuous-stirred tank and tubular type reactors were derived theoretically. Productivity of cell mass in continuous cultivation was analyzed kinetically and the behavior of mutant populations in continuous cultivation is briefly discussed.     

Plants under continuous light

Continuous light is an essential tool for understanding the plant circadian clock. Additionally, continuous light might increase greenhouse food production. However, using continuous light in research and practice has its challenges. For instance, most of the circadian clock-oriented experiments were performed under continuous light; consequently, interactions between the circadian clock and the light signaling pathway were overlooked. Furthermore, in some plant species continuous light induces severe injury, which is only poorly understood so far. In this review paper, we aim to combine the current knowledge with a modern conceptual framework. Modern genomic tools and rediscovered continuous light-tolerant tomato species (Solanum spp.) could boost the understanding of the physiology of plants under continuous light.     

Conditionally specified continuous distributions

A distribution is conditionally specified when its model constraintsare expressed conditionally. For example, Besag's (1974) spatialmodel was specified conditioned on the neighbouring states,and pseudolikelihood is intended to approximate the likelihoodusing conditional likelihoods. There are three issues of interest:existence, uniqueness and computation of a joint distribution.In the literature, most results and proofs are for discreteprobabilities; here we exclusively study distributions withcontinuous state space. We examine all three issues using thedependence functions derived from decomposition of the conditionaldensities. We show that certain dependence functions of thejoint density are shared with its conditional densities. Therefore,two conditional densities involving the same set of variablesare compatible if their overlapping dependence functions areidentical. We prove that the joint density is unique when theset of dependence functions is both compatible and complete.In addition, a joint density, apart from a constant, can becomputed from the dependence functions in closed form. Sinceall of the results are expressed in terms of dependence functions,we consider our approach to be dependence-based, whereas methodsin the literature are generally density-based. Applicationsof the dependence-based formulation are discussed.     

Prevention of continuous light-induced anovulation in rats by early exposure to continuous light

Continuous illumination (LL) beginning at 22 days of age caused precocious puberty followed by persistent estrus with anovulation in female offspring originating from mother rats exposed to a 14L:10D light-dark cycle prior to and during pregnancy. However, LL had no deleterious effect on reproductive cycles of offspring reared in LL and originating from mothers exposed to LL prior to and during pregnancy. These rats had a normal onset of puberty in LL, a normal 4-day estrous cycle, a periodic rise of plasma estrogen prior to the periodic appearance of the preovulatory luteinizing hormone (LH) surge, and spontaneous ovulation in LL continued until at least 300 days of age. Also, the female offspring of these rats showed a similar resistance to the deleterious effects of LL on cyclic ovulation. These results support the following interpretation: 1) offspring from mother rats exposed to LL prior to and during pregnancy become insensitive to the deleterious effects of LL on cyclic ovulation, 2) neural elements controlling cyclic release of LH are not totally photoperiod (14L:10D)-dependent, and 3) in the absence of daily 14L:10D signals, an endogenous clock, possibly timed by daily laboratory signals (temperature, noise, taking of vaginal smears), may provide time cues for cyclic LH release.     

Nonparametric estimation of 1-dimensional continuous distribution density functions using the continuous LOLINREG approximation

A nonparametric method for estimation of one-dimensional continuous probability distribution functions is presented. Procedures for calculation of estimation of the unknown distribution function and the distribution density will be discussed in their application. 2 items are what type of weight function may be chosen for the proposed local-linear continuous approximation of the empirical distribution function by the least squares method (LOLINREG), and upon what value of bandwidth- or smoothing parameter one optimally should settle. The latter problem is practically very important with respect to the quality of the estimation results. Examples of simulated measurements which come from a standardized normal distribution as random numbers serve to demonstrate the mode of working, the advantages as well as the limits of the presented continuous LOLINREG-approximation.     

Design optimization of continuous sterilizers

The development of a design of a continuous sterilization is considered with regard to practical data for temperature/time thermal deactivation of infecting organisms. An example of the optimization of the engineering design for capital and operating costs is given. Systems for continuous sterilization by membrane filtration are also considered.     

Cell recovery by continuous flotation

Summary Cell recovery by means of continuous flotation of the Hansenula polymorpha cultivation medium without additives was investigated as a function of the cultivation conditions as well as of the flotation equipment construction and flotation operational parameters. The cell enrichment and separation is improved at high liquid residence times, high aeration rates, small bubble sizes, increasing height of the aerated column, and diameter of the foam column. Increasing cell age and cultivation with nitrogen limitation reduce the cell separation.Symbols C_P cell mass concentration in medium g·l^–1 - C_R cell mass concentration in residue g·l^–1 - C_S cell mass concentration in foam liquid g·l^–1 - V equilibrium foam volume cm³ - V gas flow rate through the aerated liquid column cm³·s^–1 - V_F feed rate to the flotation column ml/min - ¹ V _S/V foaminess s - mean liquid residence time in the column s     

A label-free continuous total-internal-reflection-fluorescence-based immunosensor

In this study, we continuously monitored, second-by-second, concentration changes of two different carbohydrates (maltose and panose) by using monoclonal antibodies in an optical immunosensor based on total internal reflection fluorescence. Earlier studies have demonstrated that these antibodies increase their intrinsic tryptophan fluorescence upon binding of carbohydrate antigens. Using the four immobilized monoclonal antibodies with low affinities (K(d)>10(-6)M), fast kinetics (k(off)>1s(-1)), and high reversibility gave opportunities for developing a continuous immunosensor without any need for regeneration. Since intrinsic fluorescence was used, no extrinsic labeling was necessary. Sensitivity was in the range of 1-5 microM for panose, and 10-15 microM for maltose and the loss of intensity was as low as 3.5% per hour during measurements. Calculations of DeltaH degrees and DeltaS degrees from the temperature dependence of K(d) indicated an enthalpic driven antigen-antibody binding event that is diminished upon antibody immobilization. We feel certain that weakly interacting antibodies can be used in future applications for continuous monitoring where there is a need to achieve instantaneous information on the concentration of an analyte.     

Non-linear control of continuous bioreactors

Control of bioreactors has achieved importance in the recent years. This may be due to the fact that they are difficult to control which may be attributed to its nonlinear dynamic behavior. The model parameters of the bioreactor also vary in an unpredictable manner. The complexity of the biochemical processes inhibits the accurate modeling and also the lack of suitable sensors make the process state difficult to characterize. Considerable emphasis has been placed on the control of fed-batch fermentors because of their prevalence in industries. However, when production of biomass is to be optimized, continuous operation is desirable. Several procedures are available for the nonlinear control of processes, viz., differential geometric approach, internal model control approach, reference synthesis technique, predictive control design, etc., but the major disadvantage of these approaches is the computational time required to perform the prediction optimization. In this study, a nonlinear controller based on a polynomial discrete time model (NARMAX) is evaluated for its performance on a fermentor. It can be shown that a nonlinear self-tuning controller based on NARMAX model can be extended to the control of fermentors. The response is smooth for both load and setpoint changes even when process parameters are assumed to be zero and uncertainty in parameters are present and in the presence of controller constraints. The control action can be made more or less robust by changing the design parameters appropriately. Therefore, nonlinear self-tuning controller is suitable for control of industrial processes.     

A cheap high-capacity continuous centrifuge

A plankton centrifuge with a capacity of 200 1.h^–1 wasbuilt from a spin-drier.     

Protein recovery by continuous flotation

Summary Bovine serum albumin (BSA) was recovered from aqueous solutions by foam flotation. The protein concentrations in foam liquid C _S, in feed C _Pand in residue C _Rwere determined. The protein enrichment C _S/C_Pand the separation C _S/C_Ras well as the protein fraction in the foam liquid % BSA and foam liquid volume flow were determined as functions of the medium properties, operational conditions, and equipment parameters as well as concentrations of solid particles. At low protein concentrations in feed (e.g., C _P=40 mg · l^-1), and at 40° C, high performance was attained (C _X=2,000 mg · l^-1, C _R=4.4 mg · l^-1, C _S/C_P=50, C _S/C_R=450, 90% BSA. Continuous foam flotation is an efficient procedure for the recovery of low concentrations of proteins from liquid cultures.Abbreviations BSA bovine serum albumine - C _P protein concentration in feed (mg · l^-1) - C _R protein concentration in residue (mg · l^-1) - C _S protein concentration in foam liquid (mg · l^-1) - C _S/C_R protein separation (-) - C _S/C_P protein enrichment (-) - V _P feed rate (ml · min^-1) - V _R residue flow rate (ml · min^-1) - V _S foam liquid volume flow (ml · min^-1) - N number of theoretical stages in an ideal cascade (-) - temperature (° C) - mean residence time (min)     

Liquid-metering device for continuous culture

A device is described for aseptically metering liquids at rates as low as 10 ml./hr. The metering rate is constant, but can be readily changed. The device delivers a measured increment of liquid every 10 sec. The volume added is controlled by electrical contants in an electrolyte tube. The medium does not enter this tube.     

Protein design using continuous rotamers

Optimizing amino acid conformation and identity is a central problem in computational protein design. Protein design algorithms must allow realistic protein flexibility to occur during this optimization, or they may fail to find the best sequence with the lowest energy. Most design algorithms implement side-chain flexibility by allowing the side chains to move between a small set of discrete, low-energy states, which we call rigid rotamers. In this work we show that allowing continuous side-chain flexibility (which we call continuous rotamers) greatly improves protein flexibility modeling. We present a large-scale study that compares the sequences and best energy conformations in 69 protein-core redesigns using a rigid-rotamer model versus a continuous-rotamer model. We show that in nearly all of our redesigns the sequence found by the continuous-rotamer model is different and has a lower energy than the one found by the rigid-rotamer model. Moreover, the sequences found by the continuous-rotamer model are more similar to the native sequences. We then show that the seemingly easy solution of sampling more rigid rotamers within the continuous region is not a practical alternative to a continuous-rotamer model: at computationally feasible resolutions, using more rigid rotamers was never better than a continuous-rotamer model and almost always resulted in higher energies. Finally, we present a new protein design algorithm based on the dead-end elimination (DEE) algorithm, which we call iMinDEE, that makes the use of continuous rotamers feasible in larger systems. iMinDEE guarantees finding the optimal answer while pruning the search space with close to the same efficiency of DEE. Availability: Software is available under the Lesser GNU Public License v3. Contact the authors for source code.