Design of Experiments

Cavazzuti, Marco

doi:10.1007/978-3-642-31187-1_2

Cited by 70 publications

(52 citation statements)

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“…Many different statistical designs exist, each with its own distinct advantages. Designs range from large, full factorial designs in which several factors are evaluated at two or more levels, in all possible combinations, to fractional factorial designs in which only a subset of combinations is evaluated, to more sophisticated models such as Plackett‐Burman, Central Composite, and Box‐Behnken, which can identify major effects and some interactions while reducing the overall number of experiments required . Plackett‐Burman designs (Figure ), in particular, are very efficient for screening a large number of factors while minimizing the number of experiments.…”

Section: Optimization Of Growth Media For Recombinant Protein Expressionmentioning

confidence: 99%

“…Plackett‐Burman designs (Figure ), in particular, are very efficient for screening a large number of factors while minimizing the number of experiments. However, results may be confounded by two‐factor interactions, thus requiring the use of different designs to optimize further once the key factors and main effects are identified . Early examples of the use of statistical DoE for CHO cell culture media developments utilized Plackett‐Burman style screening designs to develop formulations for improved growth and recombinant protein expression in serum free media .…”

Section: Optimization Of Growth Media For Recombinant Protein Expressionmentioning

confidence: 99%

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Cell culture media for recombinant protein expression in Chinese hamster ovary (CHO) cells: History, key components, and optimization strategies

Ritacco

Khetan

2018

Biotechnology Progress

192

138

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The culture of Chinese Hamster Ovary (CHO) cells for modern industrial applications, such as expression of recombinant proteins, requires media that support growth and production. Such media must support high viable cell densities while also stimulating the synthesis and extracellular transport of biologic products. Early media development efforts in this area yielded basic formulations to sustain growth, viability, and cellular function, albeit comprising animal sourced components, and complex constituents used in batch culture mode. Subsequent improvements included the development of serum‐free and chemically defined (CD) media, the identification of critical nutrients, growth factors, and potentially inhibitory or toxic cellular metabolites, and the use of fed‐batch and perfusion culture techniques to optimize nutrient delivery while minimizing accumulation of unwanted waste products. This review is comprised of sections covering milestones in the evolution of mammalian cell culture media, nutrient composition and formulation requirements, optimization strategies, consistency and scalability of powder and liquid media preparation for industrial applications, and key recent advances driving progress in CHO cell culture medium design and development. © 2018 American Institute of Chemical Engineers Biotechnol. Prog., 34:1407–1426, 2018

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Section: Optimization Of Growth Media For Recombinant Protein Expressionmentioning

confidence: 99%

Section: Optimization Of Growth Media For Recombinant Protein Expressionmentioning

confidence: 99%

Cell culture media for recombinant protein expression in Chinese hamster ovary (CHO) cells: History, key components, and optimization strategies

Ritacco

Khetan

2018

Biotechnology Progress

192

138

View full text Add to dashboard Cite

show abstract

“…So here are listing some of the techniques that are in use in Industries. The list of the techniques considered is far from being complete since the aim of the section is just to introduce the reader into the topic showing the main techniques which are used in practice [14].…”

Section: Doe Techniquesmentioning

confidence: 99%

“…• Randomized complete block design • Plackett-Burman [16] • Taguchi [7] Application of Taguchi M. Cavzzuti [14] concluded that items to be considered are:…”

Section: Doe Techniquesmentioning

confidence: 99%

Application of Taguchi-Based Design of Experiments for Industrial Chemical Processes

Davis¹,

John²

2018

Statistical Approaches With Emphasis on Design of Experiments Applied to Chemical Processes

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Design of experiment is the method, which is used at a very large scale to study the experimentations of industrial processes. It is a statically approach where we develop the mathematical models through experimental trial runs to predict the possible output on the basis of the given input data or parameters. The aim of this chapter is to stimulate the engineering community to apply Taguchi technique to experimentation, the design of experiments, and to tackle quality problems in industrial chemical processes that they deal with. Based on years of research and applications, Dr. G. Taguchi has standardized the methods for each of these DOE application steps. Thus, DOE using Taguchi approach has become a much more attractive tool to practicing engineers and scientists.And since the last four decades, there were limitations when conventional experimental design techniques were applied to industrial experimentation. And Taguchi, also known as orthogonal array design, adds a new dimension to conventional experimental design. Taguchi method is a broadly accepted method of DOE, which has proven in producing high-quality products at subsequently low cost.

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“…This constrains the number of simulations that can be performed. Cavazzuti provides a comprehensive description of the techniques used to generate the best DoE.…”

Section: Improving the Design Of Experimentsmentioning

confidence: 99%

Resampling strategies to improve surrogate model‐based uncertainty quantification: Application to LES of LS89

Roy

Segui

Jouhaud

et al. 2018

Numerical Methods in Fluids

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Summary Uncertainty quantification (UQ) is receiving more and more attention for engineering applications particularly from robust optimization. Indeed, running a computer experiment only provides a limited knowledge in terms of uncertainty and variability of the input parameters. These experiments are often computationally expensive, and surrogate models can be constructed to address this issue. The outcome of an uncertainty quantification study is, in this case, directly correlated to the surrogate's quality. Thus, attention must be devoted to the design of experiments to retrieve as much information as possible. This work presents 2 new strategies for parameter space resampling to improve a Gaussian process surrogate model. These techniques indeed show an improvement of the predictive quality of the model with high‐dimensional analytical input functions. Finally, the methods are successfully applied to a turbine blade large‐eddy simulation application: the aerothermal flow around the LS89 blade cascade.

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Design of Experiments

Cited by 70 publications

References 0 publications

Cell culture media for recombinant protein expression in Chinese hamster ovary (CHO) cells: History, key components, and optimization strategies

Cell culture media for recombinant protein expression in Chinese hamster ovary (CHO) cells: History, key components, and optimization strategies

Application of Taguchi-Based Design of Experiments for Industrial Chemical Processes

Resampling strategies to improve surrogate model‐based uncertainty quantification: Application to LES of LS89

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