Advanced control of glutathione fermentation process

Sakato, Kuniaki; Tanaka, Hisao

doi:10.1002/bit.260400806

Cited by 57 publications

(29 citation statements)

References 9 publications

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“…Further development of DCU capabilities lead to the expansion and the practical implementation of advanced fed-batch control techniques 4,5 such as adaptive control, soft sensoring (process models, artificial neural networks (ANN), principal component analysis (PCA)), intelligent control (fuzzy logic, ANN, hybrid models), and model predictive control (MPC) 6 introduced for pilot-scale and industrial applications 7,8,9 . On the other hand, these systems are not widely accessible due to their specialized and non-commercial use, whether developed for the research laboratory or the biotech company.…”

Section: Model Predictive Feeding Rate Control In Conventional and Simentioning

confidence: 99%

“…New Brunswick/Eppendorf (USA) presented feed control based on the on-line dissolved CO 2 sensor data 10 . The YEWMAC Line Computer System (Yokogawa Electric Corporation, Japan) at the beginning of the 1990's was used for model predictive feeding rate control in the glutathione fermentation to compensate deviation from preset (modeled) ethanol concentration 7 . MPC has an advantage of relatively easier implementation possibilities as compared to ANN or fuzzy logic-based control.…”

Section: Model Predictive Feeding Rate Control In Conventional and Simentioning

confidence: 99%

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Model Predictive Feeding Rate Control in Conventional and Single-use Lab-scale Bioreactors: A Study on Practical Application

Grīgs

Galvanauskas

Dubencovs

et al. 2016

Chem.Biochem.Eng.Q.

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A developed solution for fed-batch process modeling and model predictive control (MPC), facilitating good manufacturing practice (GMP) based on process elaboration, control, and validation, is presented in the paper. The step-by-step evolution of the socalled "golden batch" optimal biomass growth profile and its control during the process is demonstrated. The case study of an advanced fed-batch control was performed on the recombinant E. coli BL21 lab-scale (5.4 L) biomass production process using the conventional stirred tank glass reactor. Additionally, a test experiment for control reproducibility and applicability assessment of the proposed approach was carried out in a single-use stirred tank reactor (5.7 L). Four sequentially performed experiments are demonstrated as an example for desirable feeding profile evolution for E. coli BL21 biomass production in a glucose-limited fed-batch process. Under different initial biomass and glucose conditions, as well as for different reference feeding profiles selected in the explorative experiments, good tracking quality of preset reference trajectories by the MPC system has been demonstrated. Estimated and experimentally measured biomass mean deviations from the preset reference value at the end of the processes were 4.6 and 3.8 %, respectively. Biomass concentration of 93.6 g L -1 (at 24 h) was reached in the most productive run. Better process controllability and safer process run, in terms of avoiding culture overfeeding but still maintaining a sufficiently high growth rate, was suggested for the process with biomass yield of 79.8 g L -1 (at 24 h). Practical recommendations on the approach application and adaptation for fed-batch cultures of interest are provided.

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Section: Model Predictive Feeding Rate Control In Conventional and Simentioning

confidence: 99%

Section: Model Predictive Feeding Rate Control In Conventional and Simentioning

confidence: 99%

Model Predictive Feeding Rate Control in Conventional and Single-use Lab-scale Bioreactors: A Study on Practical Application

Grīgs

Galvanauskas

Dubencovs

et al. 2016

Chem.Biochem.Eng.Q.

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“…The increase of biomass and GSH after the sugar depletion in this study could also be related to the Crabtree effect, by which the respiratory enzymes were inhibited and ethanol was formed when the substrate concentration was above a critical value. In Sakato's report (Sakato and Tanaka 1992), it was shown that the simultaneous utilization of sugar and ethanol has been a key factors in the industrial process to produce GSH and no further increase in GSH was observed after ethanol was consumed in the medium. According to Wen et al (2006), ethanol concentration in the medium had a significant effect on GSH content in the fed-batch culture.…”

Section: Batch and Fed Batch Cultivation In Bioreactormentioning

confidence: 99%

A cost effective fermentative production of glutathione by Saccharomyces cerevisiae with cane molasses and glycerol

Anschau

Santos

Alegre

2013

Braz. arch. biol. technol.

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This work aimed to evaluate the effect of sugar cane molasses and glycerol on glutathione (GSH) fermentation by Saccharomyces cerevisiae ATCC 7754 in flask culture using response surface methodology. Under optimized conditions (80 g/L of molasses and 60 g/L of glycerol), the highest GSH and biomass concentration achieved were 119.6 mg/L and 25.3 g/L, respectively. Further studies done in 5 L bioreactor resulted 241.3 mg/L GSH after 96 h in batch fermentation without amino acids addition and the concentration of biomass was 12.1 g/L. In batch fermentation with the addition of the three amino acids (4 mM cysteine, glycine and glutamic acid at 32 h), biomass reached to 25 g/L and GSH, 236.1 mg/L at 96 h of fermentation. The strategy of precursor amino acids addition is a key aspect in increasing the synthesis of GSH.

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“…A study on the effect of dissolved oxygen (DO) on CoQ10 production showed poor aeration conditions in A. tumefaciens [18] and a lower DO concentration in P. denitrificans [13] to favor CoQ10 production. Sakato et al [19] found CoQ10 production to be enhanced under microaerobic dark cultivation of Rhodopseudomonas sphaeroids. Choi et al [20] observed a four-fold increase of the specific CoQ10 content of A. tumefaciens on decreasing the DO concentration from 20 to 5 %.…”

Section: Introductionmentioning

confidence: 98%

Combined Effect of Agitation/Aeration and Fed‐Batch Strategy on Ubiquin‐ one‐10 Production by Pseudomonas diminuta

Bule¹

2010

Chem Eng & Technol

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The effects of aeration rate and agitation speed on ubiquinone‐10 (CoQ10) submerged fermentation in a stirred‐tank reactor using Pseudomonas diminuta NCIM 2865 were investigated. CoQ10 production, biomass formation, glycerol utilization, and volumetric mass transfer coefficient (kLa) were affected by both aeration and agitation. An agitation speed of 400 rpm and aeration rate of 0.5 vvm supported the maximum production (38.56 mg L–1) of CoQ10 during batch fermentation. The fermentation run supporting maximum production had an kLa of 27.07 h–1 with the highest specific productivity and CoQ10 yield of 0.064 mg g–1h–1 and 0.96 mg g–1 glycerol, respectively. Fermentation kinetics performed under optimum aeration and agitation showed the growth‐associated constant (a = 5.067 mg g–1) to be higher than the nongrowth‐associated constant (β = 0.0242 mg g–1h–1). These results were successfully utilized for the development of fed‐batch fermentation, which increased the CoQ10 production from 38.56 mg L–1 to 42.85 mg L–1.

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Advanced control of glutathione fermentation process

Cited by 57 publications

References 9 publications

Model Predictive Feeding Rate Control in Conventional and Single-use Lab-scale Bioreactors: A Study on Practical Application

Model Predictive Feeding Rate Control in Conventional and Single-use Lab-scale Bioreactors: A Study on Practical Application

A cost effective fermentative production of glutathione by Saccharomyces cerevisiae with cane molasses and glycerol

Combined Effect of Agitation/Aeration and Fed‐Batch Strategy on Ubiquin‐ one‐10 Production by Pseudomonas diminuta

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