2018
DOI: 10.1002/btpr.2730
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Design of experiments applications in bioprocessing: Chromatography process development using split design of experiments

Abstract: Development of a chromatographic step in a time and resource efficient manner remains a serious bottleneck in protein purification. Chromatographic performance typically depends on raw material attributes, feed material attributes, process factors, and their interactions. Design of experiments (DOE) based process development is often chosen for this purpose. A challenge is, however, in performing a DOE with such a large number of process factors. A split DOE approach based on process knowledge in order to redu… Show more

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Cited by 14 publications
(7 citation statements)
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“…In order to minimize experimental effort in upstream process development, the Design of Experiments (DoE) approach has also been applied to investigate the various process parameters in recombinant protein production (Papaneophytou and Kontopidis, 2012;Hanke and Ottens, 2014;Shekhawat et al, 2019). Statistical experiments using various DoE approaches, such as full factorial design, fractional factorial design, Taguchi orthogonal arrays, and the response surface methodology (RSM), were used for the optimization of media to enhance protein yield because various components are present in media that interact with each other.…”
Section: Design Of Experiments Approachmentioning
confidence: 99%
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“…In order to minimize experimental effort in upstream process development, the Design of Experiments (DoE) approach has also been applied to investigate the various process parameters in recombinant protein production (Papaneophytou and Kontopidis, 2012;Hanke and Ottens, 2014;Shekhawat et al, 2019). Statistical experiments using various DoE approaches, such as full factorial design, fractional factorial design, Taguchi orthogonal arrays, and the response surface methodology (RSM), were used for the optimization of media to enhance protein yield because various components are present in media that interact with each other.…”
Section: Design Of Experiments Approachmentioning
confidence: 99%
“…Statistical experiments using various DoE approaches, such as full factorial design, fractional factorial design, Taguchi orthogonal arrays, and the response surface methodology (RSM), were used for the optimization of media to enhance protein yield because various components are present in media that interact with each other. In DOE, various process parameters can be changed in a set of experimental trials, and a small number of experiments are enough to decide the effect of the various parameters and to select the most important ones (Papaneophytou and Kontopidis, 2014;Kumar et al, 2019;Shekhawat et al, 2019). In one study, RSM was applied to develop a defined medium to enhance human interferon gamma production (Unni et al, 2019).…”
Section: Design Of Experiments Approachmentioning
confidence: 99%
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