2017
DOI: 10.1016/j.memsci.2017.06.038
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Module design for ultrafiltration in biotechnology: Hydraulic analysis and statistical modeling

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Cited by 25 publications
(27 citation statements)
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References 53 publications
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“…The data presented in Figures 4 and 5 are significant in context to work published by several groups on highly concentrated protein solutions 5,6,24 where the module screen type and the buffer composition significantly affected the ability to reach high concentrations for BSA, mAbs, and Fc-Fusion proteins. The general conclusion from all these studies was that the axial pressure drop in TFF cassettes caused reverse filtration at high protein concentrations because of loss of retentate pressure at the module exit.…”
Section: Behavior Of Completely Retained Proteins (Monoclonal Antibodsupporting
confidence: 61%
“…The data presented in Figures 4 and 5 are significant in context to work published by several groups on highly concentrated protein solutions 5,6,24 where the module screen type and the buffer composition significantly affected the ability to reach high concentrations for BSA, mAbs, and Fc-Fusion proteins. The general conclusion from all these studies was that the axial pressure drop in TFF cassettes caused reverse filtration at high protein concentrations because of loss of retentate pressure at the module exit.…”
Section: Behavior Of Completely Retained Proteins (Monoclonal Antibodsupporting
confidence: 61%
“…Further, yield and purity must be included as a function of ionic strength, pH value, PEG content, and dissolution ratio. Thus, a development and validation concept was presented, which has already been successfully implemented for model building of valid physico-chemical models for other unit operations [49,55,56,66,72]. Due to the fact that the model is based on physical principals and laws, less experimental effort for parameter determination is necessary to transfer the model to novel material systems.…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, a mechanistic model approach for the precipitation curve was presented by Großhans et al [43]. Previous work has already presented a general model development and validation concept, which can be used to construct physico-chemical models of unit operations [66][67][68][69][70][71][72]. The described process is broken down into the individual building blocks and described with physical principles and laws.…”
Section: Modeling Of Precipitationmentioning
confidence: 99%
“…Modeling is well established for smaller molecules in the chemical industry by chemical engineering personnel educated and trained in applying those methods. Availability of models and data, either by in-house data-bases or by experimentally standardized setups enable predictive process simulation in order to reduce experimental efforts in process design [47][48][49][50][51][52][53][54].…”
Section: Introductionmentioning
confidence: 99%
“…Statistical models: Are part of the evaluation of experimental data generated according to DoE experimental plans, which could be statistically evaluated according to accuracy and prediction by aid of statistical models [51,68].…”
mentioning
confidence: 99%