Biomedical subjects

Suteaki Shioya

Publications and source records attributed to Suteaki Shioya.

18 recordsLinked to original sources

PubMed2006

Simultaneous control of apparent extract and volatile compounds concentrations in low-malt beer fermentation.

Volatile compounds cause undesirable flavor when their concentrations exceed threshold values in beer fermentation. The objective of this study is to develop a system for controlling apparent extract concentration, which indicates the fermentation degree and which should be decreased below a targeted value at a fixed time under a constraint of tolerable amounts of volatile compounds. In beer fermentation, even though the production of volatile compounds is suppressed by maintaining a low fermentation temperature, a low temperature causes a delay in the control of apparent extract concentration. Volatile compound concentration was estimated on-line, and the simulation of apparent extract consumption and volatile compound production was performed. To formulate various beer tastes and conserve energy for attemperation, optimal temperature profiles were determined using a genetic algorithm (GA). The developed feedback control of the brewing temperature profile was successfully applied, and apparent extract and volatile compound concentrations at a fixed time reached their target concentrations. Additionally, the control technique developed in this study enables us to brew a wide variety of beers with different tastes.

Acids↗

PubMed2006

Effect of flocculation on performance of arming yeast in direct ethanol fermentation.

In the direct ethanol fermentation of raw starch by arming yeast with alpha-amylase and glucoamylase, it is preferable to use a flocculent yeast because it can be recovered without centrifugation. Three types of arming yeast system, I (nonflocculent), II (mildly flocculent), and III (heavily flocculent), were constructed and their fermentation performances were compared. With an increase in the degree of flocculation, specific ethanol production rate for soluble starch decreased (0.19, 0.17, and 0.12 g g-dry-cell(-1) h(-1) for systems I, II, and III, respectively), but that for raw starch did not decrease as much as expected (0.06, 0.06, and 0.04 g g-dry-cell(-1) h(-1) for systems I, II and III, respectively). Microscopic observation revealed that many starch granules were captured in the yeast flocs in system III during the direct ethanol fermentation of raw starch. It was suggested that the capture of starch granules increases apparent substrate concentration for amylolytic enzymes in arming yeast cell flocs; thus, the specific ethanol production rate of system III was kept at a level comparable to those of the other systems.

Ethanol↗

PubMed2006

Recognition of culture state using two-dimensional gel electrophoresis with an artificial neural network.

Proteomic technologies were applied to the examination of nutrient components in culture broth. In bioprocesses, many types of media have been proposed and used on the commercial scale. Natural nutrients, the chemical components of which cannot be identified completely, are often used in fermentation processes such as in the production of baker's yeast, alcoholic beverages, amino acids, and pharmaceuticals. The catabolic activities of the microorganisms in these processes vary with the species used. We used an artificial neural network (ANN) to recognize the sufficiency of chemical elements based on the protein spots resolved in 2-DE, and we evaluated this technique using the leave-one-out method. We also attempted to reduce the number of input data for spot selection based on sensitivity analysis of the ANN, and the selected data were used to improve accuracy.

Electrophoresis, Gel, Two-Dimensional↗

PubMed2006

Robustness of cascade pH and dissolved oxygen control in symbiotic nisin production process system of Lactococcus lactis and Kluyveromyces marxianus.

In symbiotic processes, different organisms coexist stably and interact by sharing the same metabolites and environmental conditions. The robustness of a symbiotic nisin production process system composed of the lactic acid bacterium Lactococcus lactis subsp. lactis (ATCC11454) and dairy yeast Kluyveromyces marxianus (MS1) was studied. It was found that this symbiotic process system was robust to the initial disturbance in the inoculum sizes of both microorganisms and pH.

Biotechnology↗

PubMed2006

Aerobic culture of Propionibacterium freudenreichii ET-3 can increase production ratio of 1,4-dihydroxy-2-naphthoic acid to menaquinone.

This is the first report on the production of both 1,4-dihydroxy-2-naphthoic acid (DHNA) and menaquinone by Propionibacterium freudenreichii ET-3. DHNA can be a stimulator of bifidogenic growth, and menaquinone has important roles in blood coagulation and bone metabolism. During anaerobic culture, DHNA and menaquinone concentrations reached 0.18 mM and 0.12 mM, respectively. The molar ratio between these products was approximately 3:2, which was not affected by culture pH and temperature over the ranges of 6.0-7.0 and 31-35 degrees C, respectively. As for organic acid, propionate and acetate accumulated at concentrations of 0.3 M and 0.15 M, respectively, and the propionate accumulation particularly inhibited further production of DHNA. To improve DHNA production, we switched from anaerobic condition to aerobic condition during the culture when lactose was depleted. DHNA concentration continued to increase even after lactose exhaustion, reaching 0.24 mM. In contrast to DHNA production, menaquinone production stopped after the switch to aerobic condition. The total molar production of DHNA and menaquinone was 0.3 mM irrespective of aerobic culture and anaerobic-aerobic switching culture. Therefore, the anaerobic-aerobic switching culture could increase the production ratio of DHNA to menaquinone. The DHNA concentration obtained from the anaerobic-aerobic switching culture was 1.3-fold higher than that in the anaerobic culture, because P. freudenreichii ET-3 utilized propionate accumulated in the medium via the reversed methylmalonyl CoA pathway under aerobic condition. The culture method proposed in this study could be applicable to industrial-scale fermentation using 1000 l of media, by which 0.23 mM DHNA was produced.

Aerobiosis↗

PubMed2006

Optimal aerobic cultivation method for 1,4-dihydroxy-2-naphthoic acid production by Propionibacterium freudenreichii ET-3.

To investigate the effects of oxygen supply on Propionibacterium freudenreichii ET-3 metabolism and 1,4-dihydroxy-2-naphthoic acid (DHNA) production in detail, the strain was cultured by switching from anaerobic condition to aerobic condition at 72 h (termed anaerobic-aerobic switching culture hereafter) employing different oxygen transfer rates (OTRs) in the range of 0.08-0.90 mg/(l.h). It was found that a 0.08 mg/(l.h) OTR could not change the metabolism or improve the DHNA production of P. freudenreichii ET-3. When the OTR was in the range of 0.23-0.66 mg/(l.h), propionate, which inhibits DHNA production significantly, was consumed during the aerobic phase. Final DHNA concentration increased to 0.22 mM, irrespective of OTR. When the OTR was 0.90 mg/(l.h), a sudden increase in dissolved oxygen (DO) concentration during the aerobic phase resulted in a sudden decrease in DHNA concentration. To attenuate the stresses caused by propionate and oxygen exposure, we designed an optimal cultivation in which the anaerobic and aerobic phases were repeated three times alternately. As a result, propionate concentration was maintained below the level that inhibits DHNA production, and no DO concentration was detected throughout the culture. The final DHNA concentration in this culture was 0.33 mM, which is 2.7-fold that in the anaerobic culture and 1.5-fold that in the anaerobic-aerobic switching culture.

Aerobiosis↗

PubMed2006

Precise metabolic flux analysis of coryneform bacteria by gas chromatography-mass spectrometry and verification by nuclear magnetic resonance.

Precise metabolic flux analysis (MFA) by gas chromatography-mass spectrometry (GC-MS) and computer calculation was performed, and the consistency of the estimated results was verified by independently performed nuclear magnetic resonance (NMR) analysis. The precise estimation of flux by the integration method of the mass isotopomer signal, defined as the coefficient of variance (CV) of multiple determination, was investigated, and the results estimated using different data sets with the same magnitude of error were confirmed. The CV of multiple determinations was sufficiently small to discuss and compare the fluxes of a metabolic pathway. The estimated fluxes using the GC-MS data were cross-validated with the NMR data that were independently measured and not used for MFA. The developed method was successfully applied to the MFA of the growth phase of two different glutamate-producing coryneform bacteria, Corynebacterium glutamicum and C. efficiens. The difference in the growth rate between these two bacterial species was discussed while considering the results of MFA, including forward and backward (exchange) fluxes.

Actinomycetales↗

PubMed2005

Application of a mathematical model and Differential Evolution algorithm approach to optimization of bacteriocin production by Lactococcus lactis C7.

The effect of pH and temperature on cell growth and bacteriocin production in Lactococcus lactis C7 was investigated in order to optimize the production of bacteriocin. The study showed that the bacteriocin production was growth-associated, but declined after reaching the maximum titer. The decrease of bacteriocin was caused by a cell-bound protease. Maximum bacteriocin titer was obtained at pH 5.5 and at 22 degrees C. In order to obtain a global optimized solution for production of bacteriocin, the optimal temperature for bacteriocin production was further studied. Mathematical models were developed for cell growth, substrate consumption, lactic acid production and bacteriocin production. A Differential Evolution algorithm was used both to estimate the model parameters from the experimental data and to compute a temperature profile for maximizing the final bacteriocin titer and bacteriocin productivity. This simulation showed that maximum bacteriocin production was obtained at the optimal temperature profile, starting at 30 degrees C and terminating at 22 degrees C, which was validated by experiment. This temperature profile yielded 20% higher maximum bacteriocin productivity than that obtained at a constant temperature of 22 degrees C, although the total amount of bacteriocin obtained was slightly decreased.

Algorithms↗

PubMed2005

Evaluation of performance of different surface-engineered yeast strains for direct ethanol production from raw starch.

Four types of cell-surface-engineered yeast Saccharomyces cerevisiae displaying glucoamylase, namely, systems A, B, C, and D, were constructed to evaluate their performance in direct ethanol fermentation from raw corn starch. Systems A and B were glucoamylase-displaying nonflocculent yeast (YF237) types that secrete alpha-amylase into the culture medium and codisplay alpha-amylase on the cell surface, respectively. Systems C and D were flocculent yeast counterparts (YF207) for systems A and B, respectively. In batch fermentations, the specific ethanol production rates of systems A, B, C, and D were 0.18, 0.06, 0.06, and 0.04 g (g cell)(-1) h(-1), respectively. In repeated fermentations, the specific ethanol production rate of system A decreased with the number of repetitions, whereas, that of system B was maintained. In all systems, the rate-limiting step was the conversion of starch to oligosaccharide because oligosaccharide and glucose were not accumulated throughout the fermentations.

Ethanol↗

PubMed2005

Comparative study of flux redistribution of metabolic pathway in glutamate production by two coryneform bacteria.

In amino acid production by coryneform bacteria, study on relationship between change in enzyme activities and production of a target amino acid is important. In glutamate production, Kawahara et al. discovered that the effect of decrease in 2-oxoglutamate dehydrogenase complex (ODHC) on glutamate production is essential (Kawahara et al., Biosci. Biotechnol. Biochem. 61(7) (1997) 1109). Significant reduction of the ODHC activity was observed in the cells under the several glutamate-productive conditions in Corynebacterium glutamicum. Recent progress in metabolic engineering enables us to quantitatively compare the flux redistribution of the different strains after change in enzyme activity precisely. In this paper, relationship between flux redistribution and change in enzyme activities after biotin deletion and addition of detergent (Tween 40) was studied in two coryneform bacteria, C. glutamicum and a newly isolated strain, Corynebacterium efficiens (Fudou et al., Int. J. Syst. Evol. Microbiol. 52(Part 4) 1127), based on metabolic flux analysis (MFA). It was observed that in both species the specific activities of isocitrate dehydrogenase (ICDH) and glutamate dehydrogenase (GDH) did not significantly change throughout the fermentation, while that of the ODHC significantly decreased after biotin depletion and Tween 40 addition. Flux redistribution clearly occurred after the decrease in ODHC specific activity. The difference in glutamate production between C. glutamicum and C. efficiens was caused by the difference in the degree of decrease in ODHC specific activity. The difference in Michaelis-Menten constants or K(m) value between ICDH, GDH, and ODHC explained the mechanism of flux redistribution at the branch point of 2-oxoglutarate. It was found that the K(m) values of ICDH and ODHC were much lower than that of GDH for both strains. It was quantitatively proved that the ODHC plays the most important role in controlling flux distribution at the key branch point of 2-oxoglutarate in both coryneform bacteria. Flux redistribution mechanism was well simulated by a Michaelis-Menten-based model with kinetic parameters. The knowledge of the mechanism of flux redistribution will contribute to improvement of glutamate production in coryneform bacteria.

Bacterial Proteins↗

PubMed2005

Effect of sulfur sources on specific desulfurization activity of Rhodococcus erythropolis KA2-5-1 in exponential fed-batch culture.

The effects of sulfur sources on the desulfurization activity of Rhodococcus erythropolis KA2-5-1 were investigated by using an exponential fed-batch culture technique. The feed rate of a sulfur source was controlled independently of the feed rate of ethanol, which was used as a carbon and energy source. Among the sulfur sources examined were dibenzothiophene (DBT), ammonium sulfate, L-cysteine, L-methionine, and 2-amino-ethanesulfonic acid. When the fed-medium contained DBT as the sole sulfur source, KA2-5-1 cells showed a maximum desulfurization activity of approximately 130 mmol 2-HBP kg-cell(-1) h(-1). Similar levels of enzyme activity were also achieved with inexpensive ammonium sulfate by using the exponential fed-batch culture technique. In addition, higher levels of desulfurization activity were achieved by increasing the dosage of the DBT desulfurization (dsz) operon and dszD gene in R. erythropolis KA2-5-1. The recombinant strain showed a maximum desulfurization activity of approximately 250 mmol 2-HBP kg-cell(-1) h(-1) in the exponential fed-batch cultures.

Biodegradation, Environmental↗

PubMed2003

Enhanced kefiran production by mixed culture of Lactobacillus kefiranofaciens and Saccharomyces cerevisiae.

In a batch mixed culture of Lactobacillus kefiranofaciens and Saccharomyces cerevisiae, which could assimilate lactic acid, cell growth and kefiran production rates of L. kefiranofaciens significantly increased, compared with those in pure cultures. The kefiran production rate was 36 mg l(-1) h(-1) in the mixed culture under the anaerobic condition, which was greater than that in the pure culture (24 mg l(-1) h(-1)). Under the aerobic condition, a more intensive interaction between these two strains was observed and higher kefiran production rate (44 mg l(-1) h(-1)) was obtained compared with that under the anaerobic condition. Kefiran production was further enhanced by an addition of fresh medium in the fed-batch mixed culture. In the fed-batch mixed culture, a final kefiran concentration of 5.41 g l(-1) was achieved at 87 h, thereby attaining the highest productivity at 62 mg l(-1) h(-1). Simulation study considered the reduction of lactic acid in pure culture was performed to estimate the additional effect of coculture with S. cerevisiae. Slightly higher cell growth and kefiran production rates in the mixed culture than those expected from pure culture by simulation were observed. These results suggest that coculture of L. kefiranofaciens and S. cerevisiae not only reduces the lactic acid concentration by consumption but also stimulates cell growth and kefiran production of L. kefiranofaciens.

Animals↗

PubMed2003

Clustering gene expression pattern and extracting relationship in gene network based on artificial neural networks.

Massive datasets such as gene expression profiles are accumulating along with the development of DNA microarray technologies. In this paper, we focus on mining biological relevant information such as typical expression patterns and the interconnections of gene networks from massive datasets. At first, the algorithm of a self-organizing map (SOM) was used to cluster gene expression data. Then, for the typical patterns extracted by the SOM, a three-layer artificial neural network (ANN) model was used to extract the relationships between the expression patterns. In order to evaluate the clustering analysis based on the SOM, biological and statistical indices were introduced. To validate the efficiency of the scheme proposed for extracting the relationships between the expression patterns with the ANN, a test dataset was created and used for the test. Finally, the interconnections of a typical pattern of early G1, late G1, S, G2, and M phases in a yeast cell cycle were extracted and visualized.

Journal Article↗

PubMed2003

Interactions between Lactobacillus kefiranofaciens and Saccharomyces cerevisiae in mixed culture for kefiran production.

Since a positive effect on the growth and kefiran production of Lactobacillus kefiranofaciens was observed in a mixed culture with Saccharomyces cerevisiae, the elucidation of the interactions between L. kefiranofaciens and S. cerevisiae may lead to higher productivity. Hence, the microbial interaction of each strain was investigated. Apart from the positive effect of a reduction in the amount of lactic acid by S. cerevisiae, a positive effect of S. cerevisiae on the growth and kefiran production of L. kefiranofaciens in a mixed culture was observed. Various experiments were carried out to study this effect. In this study, the observed increase in capsular kefiran in a mixed culture with inactivated S. cerevisiae correlated well to that in an anaerobic mixed culture. Differences in capsular kefiran production were observed for different initial S. cerevisiae concentrations under anaerobic conditions. From these fermentation results, it was concluded that the physical contact with S. cerevisiae mainly enhanced the capsular kefiran production of L. kefiranofaciens in a mixed culture. Therefore, in an anaerobic mixed culture, this direct contact resulted in higher capsular kefiran production than that in pure culture.

Journal Article↗

PubMed2002

Model predictive controller for biodegradable polyhydroxyalkanoate production in fed-batch culture.

The aim of this study is to develop a model predictive controller (MPC) accompanied with a metabolic reaction model controller for controlling ethanol and n-pentanol concentrations and the mole fraction of monomer units in the production of poly(beta-hydroxybutyrate-co-beta-hydroxyvalerate), P(HB-co-HV), a biodegradable copolyester. The controller consists of two parts: one is for alcohol concentration control and the other one is for mole fraction control, and is based on the concept of metabolic flux distribution control. For control of alcohol concentration, conventional proportional and integral (PI) controller and feedforward/feedback controller did not function sufficiently because the large sampling interval of the biosensor led to a severe overshoot of concentration. A single-input and single-output (SISO) MPC is constructed for control of ethanol concentration in the growth phase, whereas a multi-input and multi-output (MIMO) MPC is constructed for control of both alcohol concentrations in the production phase. Specific ethanol consumption rate was estimated by the MPC using the past time series data of ethanol concentration. By means of simulations and experiments, the weighting parameters of the noise filters in the MPC were well adjusted. Ethanol and n-pentanol concentrations were well controlled by the MPC, compared with PI controller and feedforward/feedback controller. As a result, P(HB-co-HV) production was maximized with a given value of mole fraction of 3HV units at the end of cultivation.

Biodegradation, Environmental↗

PubMed2002

Classification of fermentation performance by multivariate analysis based on mean hypothesis testing.

Multivariate analysis, such as principal component analysis and artificial autoassociative neural networks, is currently extensively applied to feature capturing, physiological state recognition, fault detection and bioprocess control. However, it is not clear which process variable should be selected as an important input for multivariate analysis to analyze physiological conditions and/or bioprocess performance a priori. An efficacious method to select more informative process variables from the repository of historical data is highly desired. In this study, we focused on a premodeling step. Mean hypothesis testing (MHT) was used to select appropriate variables for multivariate analysis. Fermentation data sets were classified into two classes "good" and "bad" according to the MHT results. The results showed that selecting discriminating process variables from the historical database by MHT enhanced the overall effectiveness of multivariate analysis prior to principal component analysis and artificial autoassociative neural network model creation.

Journal Article↗

PubMed2002

Data preprocessing and output evaluation of an autoassociative neural network model for online fault detection in virginiamycin production.

In this study, an artificial autoassociative neural network (AANN) was used online to detect deviations from normal antibiotic production fermentation using conventional process variables. To improve the efficiency of extracting hidden information contained in multidimensional process variables, and to finally render the AANN adequate for fault detection, we explored the following methods: selection of process variables; preprocessing of data that involved normalizing the training data of the AANN; and evaluation of data that involved assessing the output of the AANN. A method for fault detection in virginiamycin M and S production by Streptomyces virginiae was successfully developed based on these techniques.

Journal Article↗

PubMedDate not supplied

Metabolic engineering and characterization of phaC1 and phaC2 genes from Pseudomonas putida KCTC1639 for overproduction of medium-chain-length polyhydroxyalkanoate.

Two PHA synthase phaC1 and phaC2 genes cloned from the new strain Pseudomonas putida KCTC1639 were metabolically engineered for the overproduction of medium-chain-length polyhydroxyalkanoate (mcl-PHA). The overexpressed phaC1 and phaC2 genes in P. putida KCTC1639 were compared in terms of the biosynthesis of mcl-PHA, fatty acid assimilation, distribution of 3-hydroxylacyl monomer units, granular morphology, and thermophysical properties of the accumulated mcl-PHA. The biosynthesis of mcl-PHA was enhanced only by the overexpressed phaC1 gene up to 2.86-fold, in contrast, the phaC2 gene did not activate the biosynthesis of mcl-PHA. The overexpressed phaC1 gene tended to form enlarged, high molecular weight, and lower crystalline mcl-PHA granules, whereas the amplified phaC2 gene induced the fragmentation of mcl-PHA into a few small-sized granules. The transformant P. putida KCTC1639 overexpressing the phaC1 gene encoding PHA synthase I was cultivated by pH-stat fed-batch cultivation, and the concentration and content of mcl-PHA increased up to 8.91 g L-1 and 70.5%, respectively.

Acyltransferases↗