Diauxic production of glucose oxidase by Aspergillus niger in submerged culture

Mirón, Jesús; González, M.P.; Pastrana, Lorenzo; Murado, M.A.

doi:10.1016/s0141-0229(02)00143-6

Cited by 33 publications

(25 citation statements)

References 27 publications

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“…In order to illustrate the methodology developed in previous sections, we consider a tubular reactor for Gluconic Acid production whose biological features has been largely studied by Mirón and et al 30 .…”

Section: Case Study: Gluconic Acid Productionmentioning

confidence: 99%

Exponential observers for distributed tubular (bio)reactors

García¹,

Vilas²,

Banga³

et al. 2008

AIChE Journal

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In this work, the dissipative nature of spatially distributed process systems is exploited to develop efficient exponential state observers based on a low dimensional dynamic representation of the original set of partial differential equations. The approach we suggest combines standard observer design techniques for reactors where the reaction rates are unknown with efficient model reduction methodologies based on projection of the original concentration and temperature fields on low dimensional subspaces capturing the slow dynamics of the process. The global exponential stability of the resulting observer is derived combining classical Lyapunov analysis with a transformation that allows us to obtain a diffusion system from a diffusionconvection system. In addition aspects related to the location of sensors and their influence on the ability to reconstruct the necessary fields to feed the observer will also be considered.

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Section: Case Study: Gluconic Acid Productionmentioning

confidence: 99%

Exponential observers for distributed tubular (bio)reactors

García¹,

Vilas²,

Banga³

et al. 2008

AIChE Journal

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show abstract

“…The example used is related to the production of gluconic acid (GA) from Aspergillus niger. For versatility reasons production is usually carried out in well stirred batch reactors supplied with oxygen [21,19,18,35,23]. However, some authors [25,3] pointed out that continuous production with free-growth cells may be more advantageous than the batch one as it reduces the tendency of Aspergillus niger to cause clogging under high glucose concentration conditions.…”

Section: Introductionmentioning

confidence: 99%

On-line estimation in a distributed parameter bioreactor: Application to the gluconic acid production

García¹,

Vilas²,

Balsa‐Canto³

et al. 2011

Computers & Chemical Engineering

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This work presents a methodology which exploits the underlying biochemical structure of bioprocesses to estimate concentrations in aerobic fermenters from oxygen measurements. Although a number of estimators have been proposed over the years in the literature, the methodology proposed in this work is able to operate in transient conditions while does not require the knowledge of the growth kinetics. In addition, it can be also applied to fermenters where the spatial distribution of the concentrations is relevant. In this case, we propose a systematic approach to optimally locate the sensors based on the use of reduced order models. This method allows the reconstruction of the oxygen concentrations from a limited number of sensors. Finally, the methodology proposed will be illustrated on a horizontal tubular reactor for the production of gluconic acid by free-growth of Aspergillus niger.

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“…Experiments carried out in a batch fermenter (see [13] for details) indicate that the growth of the microorganisms is a diauxic process with logistic and linear phase. During the logistic phase glucose (G) is rapidly consumed by the microorganisms (X) to produce Gluconic Acid (GA), being the glucoholactone (GOT) the intermediate compound, as a result of the action of Glucose Oxidase (GOD).…”

Section: A Reaction Mechanismmentioning

confidence: 99%

“…In a continuous process, the logistic phase will determine the dynamic model to be obtained from the following set of equations [13]:…”

Section: A Reaction Mechanismmentioning

confidence: 99%

See 1 more Smart Citation

State Reconstruction in Spatially Distributed BioProcess Systems using Reduced Order Models: Application to the Gluconic Acid Production.

García

Vilas

Banga

et al.

Proceedings of the 44th IEEE Conference on Decision and Control

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Abstract-In this work, the dissipative nature of spatially distributed bioprocess systems is exploited to develop efficient state observers based on a low dimensional dynamic representation of the original set of partial differential equations. The approach we suggest combines standard observer design techniques for bioreactors with efficient model reduction methodologies based on projection of the original concentration fields on low dimensional subspaces capturing the slow dynamics of the process.Aspects related with the location of sensors and their influence on the ability to reconstruct concentration fields will also be considered. Finally, the different aspects of the methodology, as well as the efficiency of the resulting observers will be illustrated on a case study of industrial interest, namely a tubular bioreactor producing gluconic acid by Aspergillus Niger.

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Diauxic production of glucose oxidase by Aspergillus niger in submerged culture

Cited by 33 publications

References 27 publications

Exponential observers for distributed tubular (bio)reactors

Exponential observers for distributed tubular (bio)reactors

On-line estimation in a distributed parameter bioreactor: Application to the gluconic acid production

State Reconstruction in Spatially Distributed BioProcess Systems using Reduced Order Models: Application to the Gluconic Acid Production.

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