Dominik Krämer

ORCID: 0000-0003-3666-6843
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Research Areas
  • Microbial Metabolic Engineering and Bioproduction
  • Viral Infectious Diseases and Gene Expression in Insects
  • Spectroscopy and Chemometric Analyses
  • Advanced Control Systems Optimization
  • Process Optimization and Integration
  • Fault Detection and Control Systems
  • Biofuel production and bioconversion
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Gene Regulatory Network Analysis
  • NMR spectroscopy and applications
  • Near-Field Optical Microscopy
  • Advanced NMR Techniques and Applications
  • Integrated Circuits and Semiconductor Failure Analysis
  • Crystallization and Solubility Studies
  • Force Microscopy Techniques and Applications
  • Advanced MRI Techniques and Applications
  • thermodynamics and calorimetric analyses

University of Bayreuth
2025

Technische Universität Berlin
2015-2020

Direct force measurements by atomic microscopy (AFM) have become an indispensable analytical tool in the last decades. Force been widely used for adhesion measurements, often combination with colloidal probe technique. For latter technique, a particle is attached to end of AFM cantilever, proving great flexibility terms colloid/surface interaction be studied. Interestingly, question how much data necessary obtain statistically reliable results has addressed this context only sparsely. By...

10.1021/acs.langmuir.4c03519 article EN Langmuir 2025-01-29

In the early process development, feeding trajectories and cultivation conditions are altered in order to maximise desired product. This is contrast industrial cultivations, where variations be eliminated. fully understand safely run a new process, real-time information beneficial. Near-infrared spectrometer that coupled fermenter offer possibility gather on-line. The NIR data can transformed via partial least squares modeling estimate substrate biomass concentrations. At low concentrations...

10.1016/j.ifacol.2016.07.235 article EN IFAC-PapersOnLine 2016-01-01

In this study, we show the successful application of different model-based approaches for maximizing macrolactin D production by Paenibacillus polymyxa. After four initial cultivations, a family nonlinear dynamic biological models was determined automatically and ranked their respective Akaike Information Criterion (AIC). The best were then used in multi-model setup robust product maximization. experimental validation shows highest yield attained compared with identification runs so far....

10.3390/pr8070752 article EN Processes 2020-06-28

This paper presents a case study on integrating new model extension describing the production of enzyme soluble hydrogenase (SH) into an already existing by means on-line optimal experimental design (OED). These investigations were done autotrophic cultivation system and process Ralstonia eutropha, i.e., where aeration air is replaced gas consisting H2/O2/CO2. Prior to experiment, three different structures are postulated coarsely identified. Off-line OED with best yields initial feeding...

10.1016/j.ifacol.2016.07.238 article EN IFAC-PapersOnLine 2016-01-01

Abstract Although known to be very powerful, the widespread application of model‐based techniques is still significantly hampered in area bio‐processes. Reasons for this situation can found along whole chain set up and implement such approaches. In a time‐consuming step, models are typically hand‐crafted. Whether alternatives better exist actually fulfill final goals undocumented, most often even unknown. next process control methods hand‐coded an error‐prone procedure. For many these given...

10.1002/elsc.201600020 article EN Engineering in Life Sciences 2017-01-10

Abstract Basierend auf wenigen Experimenten wird für den Mikroorganismus Paenibacillus polymyxa durch eine modellbasierte nichtlineare Optimierung der Fütterstrategie die Ausbeute des produzierten Antibiotikums Macrolactin verbessert. Dazu werden mithilfe einer automatisierten Modellbildung in relativ kurzer Zeit zahlreiche einfach‐strukturierte Prozessmodelle erstellt, alle Experimente zufriedenstellend beschreiben können. Da mit Vorlage von nur größeren Unsicherheit Modellauswahl zu...

10.1002/cite.201500098 article DE Chemie Ingenieur Technik 2015-11-20
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