Computer-Aided Design of a Biochemical Process

Cooney, Charles L.; Petrides, Demetri; Barrera, Manuel Pastor; Evans, Larry

doi:10.1021/bk-1988-0362.ch005

Cited by 11 publications

(6 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With recent pressures to achieve faster development of new products to market and a need to realise higher process yields, there has been increased interest in the use of mathematical models to describe whole process performance. There are now a few software packages available specifically for such modelling tasks [5,7,8].…”

Section: Introductionmentioning

confidence: 99%

The application of a Pareto optimisation method in the design of an integrated bioprocess

Zhou

Titchener-Hooker

2003

Bioprocess and Biosystems Engineering

View full text Add to dashboard Cite

A rapid method for designing integrated bioprocesses, using a combination of a windows of operation and a Pareto optimisation approach, is described in this paper. Within bioprocesses, multiple objectives are common, and achieving a satisfactory trade-off amongst the design objectives is crucial. Conventional optimisation results in the identification of the best operating policy for a given desired performance but gives little insight into how the process performance changes in the vicinity of the solution. In this paper, we explore the use of a Pareto optimisation technique to locate the optimal conditions for an integrated bioprocessing sequence and the benefits of first reducing the feasible space by the development of a series of windows of operation to provide a smaller search area for the optimisation. The final results are then presented in performance trade-off graphs and look-up tables, which give the design engineer an easily manageable solution set to work with. In this way, the decision-making procedure for design is made faster and more transparent. Two case studies illustrate the results from this integrated design methodology, some of which are counter-intuitive compared with the general design experience.

show abstract

Section: Introductionmentioning

confidence: 99%

The application of a Pareto optimisation method in the design of an integrated bioprocess

Zhou

Titchener-Hooker

2003

Bioprocess and Biosystems Engineering

View full text Add to dashboard Cite

show abstract

“…The simulation tools are also some of the most important tools for the scientists, since they allow one to shorten the time required to study the experimental domain and to compare process alternatives and analyses of a large number of process conditions reducing the experimental costs. Applied to bioprocesses, the advantages of process simulation have been realised for a long time now [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Kinetic modelling of acetic fermentation in an industrial process by genetic algorithms with a desirability function

Pizarro¹,

González-Sáiz²,

Garrido-Vidal³

2003

Journal of Chemometrics

View full text Add to dashboard Cite

The basic tool to simulate the evolution of a bioprocess, such as the industrial process of acetic fermentation, is the kinetic model. The model must be simple and have a high predictive ability to give results capable of explaining the real behaviour. The difficulties in the kinetic modelling of biological processes are mainly related to the description of the bacterial growth. In this paper a genetic algorithm is designed to obtain a set of kinetic parameters for the specific growth rate that enables the model to explain the industrial fermentation. Only acetic concentration data from industrial fermentators are required. A four-factor desirability function works properly as the response to maximize. The model optimized can explain not only the behaviour of the industrial batch process studied, but also the experimental results obtained with a pilot fermentator working continuously with and without cell recycling.

show abstract

“…As pressures to bring bioproducts to market in the shortest possible time increase and the number of process alternatives grow there is recognition that the application of computer modeling techniques can speed up bioprocess development and produce a more effective operating process (Cooney et al, 1988). Models enable rapid determination of process feasibility (Wai et al, 1996), examination of process economics and sensitivity (Petrides et al, 1995;Ernst et al, 1997), the investigation of appropriate operating windows (Zhou and Titchener-Hooker, 1999), and numerical process optimisation (Samsatli and Shah, 1996;Groep et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Prediction of the pilot‐scale recovery of a recombinant yeast enzyme using integrated models

Varga

Titchener-Hooker

Dunnill

2001

Biotech & Bioengineering

View full text Add to dashboard Cite

This article describes the rapid prediction of recovery process performance for a new recombinant enzyme product on the basis of a broad portfolio of computer models and highly targeted experimentation. A process model for the recombinant system was generated by linking unit operation models in an integrated fashion, with required parameter estimation and physical property determination accomplished using data from scale-down studies. This enabled the generic modeling framework established for processing of a natural enzyme from bakers' yeast to be applied. An experimental study of the same operations at the pilot scale showed that the process model gave a conservative prediction of recombinant enzyme recovery. The model successfully captured interactions leading to a low overall product yield and indicated the need for further study of precipitate breakage in the feed zone of a disc stack centrifuge in order to improve performance. The utility of scale-down units as an aid to fast model generation and the advantage of integrating computer modeling and scale-down studies to accelerate bioprocess development are highlighted.

show abstract

Computer-Aided Design of a Biochemical Process

Cited by 11 publications

References 0 publications

The application of a Pareto optimisation method in the design of an integrated bioprocess

The application of a Pareto optimisation method in the design of an integrated bioprocess

Kinetic modelling of acetic fermentation in an industrial process by genetic algorithms with a desirability function

Prediction of the pilot‐scale recovery of a recombinant yeast enzyme using integrated models

Contact Info

Product

Resources

About