2012
DOI: 10.1186/1475-2859-11-144
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An automated workflow for enhancing microbial bioprocess optimization on a novel microbioreactor platform

Abstract: BackgroundHigh-throughput methods are widely-used for strain screening effectively resulting in binary information regarding high or low productivity. Nevertheless achieving quantitative and scalable parameters for fast bioprocess development is much more challenging, especially for heterologous protein production. Here, the nature of the foreign protein makes it impossible to predict the, e.g. best expression construct, secretion signal peptide, inductor concentration, induction time, temperature and substrat… Show more

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Cited by 110 publications
(124 citation statements)
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“…For future studies, automation can be further advanced using on-line biomass sensing or automated cell separation, as they are used by others [28,29]. The μ-dependent protein secretion could be performed in pH-controlled minibioreactor systems, which could improve the predictive power of the obtained results [30].…”
Section: Discussionmentioning
confidence: 99%
“…For future studies, automation can be further advanced using on-line biomass sensing or automated cell separation, as they are used by others [28,29]. The μ-dependent protein secretion could be performed in pH-controlled minibioreactor systems, which could improve the predictive power of the obtained results [30].…”
Section: Discussionmentioning
confidence: 99%
“…The higher transformation efficiency makes MB001 an ideal strain for metabolic engineering because the initial chromosomal integration of a plasmid is often the critical step. Finally, the significantly increased eYFP productivity is an interesting feature and could be relevant for all applications requiring high expression of proteins, such as protein production or the tuning of natural or synthetic metabolic pathways required for small-molecule production (42,43).…”
Section: Discussionmentioning
confidence: 99%
“…Medium preparation and inoculation were performed manually under a sterile bench. For the estimation of substrate-specific biomass yields (Y X/S ) the corresponding backscatter (BS) measurements were recalculated to cell dry weight (CDW) data using the calibration model CDW [g l −1 ] = 0.048 × BS g l −1 − 0.78 g l −1 (Rohe et al, 2012).…”
Section: Cultivationsmentioning
confidence: 99%