19 research outputs found
Metabolic characterization of a protease producing Bacillus subtilis strain under pH inhomogeneity in a scale-down bioreactor system
Entwicklung automatisierter Biotrockenmassebestimmung zur beschleunigten Charakterisierung von Streptomyces lividans TK24
JuBiotech/detl: v1.0.0
What's Changed Changes with respect to previous internal releases. Update notebooks and documentation by @valentinsteier and @michaelosthege Fix the missing pump_b_rate_sp column issue by @michaelosthege in https://github.com/JuBiotech/detl/pull/4 Full Changelog : https://github.com/JuBiotech/detl/commits/v1.0.
Microfluidic single‐cell scale‐down bioreactors: A proof‐of‐concept for the growth of Corynebacterium glutamicum at oscillating pH values
In large-scale bioreactors, gradients in cultivation parameters such as oxygen, substrate, and pH result in fluctuating cell environments. pH fluctuations were identified as a critical parameter for bioprocess performance. Traditionally, scale-down systems at the laboratory scale are used to analyze the effects of fluctuating pH values on strains and thus process performance. Here, we demonstrate the application of dynamic microfluidic single-cell cultivation (dMSCC) as a novel scale-down system for the characterization of Corynebacterium glutamicum growth using oscillating pH conditions as a model stress factor. A detailed comparison between two-compartment reactor (two-CR) scale-down experiments and dMSCC was performed for one specific pH oscillation between reference pH 7 (~8 min) and disturbed pH 6 (~2 min). Similar reductions in growth rates were observed in both systems (dMSCC 21% and two-CR 27%) compared to undisturbed cultivation at pH 7. Afterward, systematic experiments at symmetric and asymmetric pH oscillations, between pH ranges of 4–6 and 8–11 and different intervals from 1 to 20 min, were performed to demonstrate the unique application range and throughput of the dMSCC system. Finally, the strength of the dMSCC application was demonstrated by mimicking fluctuating environmental conditions of a putative large-scale bioprocess, which is difficult to conduct using two-CR
Combining microcultivation and automation to enable accelerated process development for natural bacteriocin producers
Combining microcultivation and automation to enable accelerated process development for natural bacteriocin producers
Automated atline activity measurement of antimicrobial peptides for bioprocess development
Filamentous organisms catching up: Parallelized, miniaturized and automated characterization methods for Streptomyces lividans
JuBiotech/robotools: v1.7.3
<h2>What's Changed</h2>
<ul>
<li>Add dependabot and update GitHub Actions by @michaelosthege in https://github.com/JuBiotech/robotools/pull/45</li>
<li>Bump codecov/codecov-action from 3.1.3 to 3.1.4 by @dependabot in https://github.com/JuBiotech/robotools/pull/46</li>
<li>Bump actions/checkout from 3 to 4 by @dependabot in https://github.com/JuBiotech/robotools/pull/47</li>
<li>⚠️ Fixed a bug in the string-representation of dilution plans involving serial dilutions by @michaelosthege in https://github.com/JuBiotech/robotools/pull/49</li>
</ul>
<h2>New Contributors</h2>
<ul>
<li>@dependabot made their first contribution in https://github.com/JuBiotech/robotools/pull/46</li>
</ul>
<p><strong>Full Changelog</strong>: https://github.com/JuBiotech/robotools/compare/v1.7.2...v1.7.3</p>