Now showing1 - 10 of 14
  • Some of the metrics are blocked by your 
    Item type:Project,
      19
  • Some of the metrics are blocked by your 
    Item type:Project,
    Establishing a new platform for H2-driven asymmetric catalysis by design of a fusion-enzyme
    Das Ziel dieses Forschungsprojekts ist die Schaffung einer neuen Plattform für die H2-betriebene asymmetrische Katalyse, die bei der Synthese von Feinchemikalien eingesetzt werden kann. Um dies zu erreichen, wird ein bisher einzigartiges Fusionsprotein zwischen der löslichen [NiFe]-Hydrogenase (SH) aus Cupriavidus necator und der Old Yellow Enzyme (OYE)-En-Reduktase aus Thermus scotoductus entwickelt. In früheren Studien zeigte das OYE-Enzym einen Enantiomerenüberschuss ee > 99 % für die asymmetrische Reduktion von 2-Methylmaleimid zu (R)-2-Methylsuccinimid, das als Vorläufer für antimikrobielle Substanzen dienen könnte. Das konstruierte Fusionsenzym wird eine Biokatalyse mit hoher Atomeffizienz unter Verwendung von H2 ermöglichen, um sowohl Elektronen als auch Protonen für die asymmetrische Reduktion zu liefern. Die Untersuchung des Elektronentransfers im Fusionsprotein ist ein Hauptziel dieses Forschungsprojekts. Daher werden verschiedene Protein-Linker mit variablen Eigenschaften eingesetzt, um die Fähigkeit eines direkten Elektronentransfers zu testen. Letzteres würde die Notwendigkeit einer teuren Cofaktor-Regeneration bei Biotransformationen umgehen. Im Vergleich zum direkten Elektronentransfer werden natürliche und künstliche Elektronenträger untersucht. Die Charakterisierung kinetischer und thermodynamischer Parameter sowie die Optimierung der Betriebsbedingungen werden teilweise mithilfe einer automatisierten Reaktionsplattform durchgeführt. Die Inline-Fourier-Transformations-Infrarotspektroskopie (FTIR) ermöglicht eine quantitative Substrat-Produkt-Analyse ohne Probenahme, und die chirale Gaschromatographie (GC) validiert die Stereochemie. Auf der Grundlage der Inline-Analytik wird eine automatisierte Reaktionsplattform entwickelt, die in ein umfassendes Forschungsdatenmanagementsystem (RDM) integriert ist und Datenaustauschstandards wie EnzymeML und Beiträge zu Datenbanken wie BRENDA umfasst, um die Einhaltung der FAIR-Prinzipien zu gewährleisten.
      23
  • Some of the metrics are blocked by your 
    Item type:Project,
      5
  • Some of the metrics are blocked by your 
    Item type:Project,
    EXC 3120 BlueMat - Research Topic A3: Water Absorption-Driven Nanoporous Materials
    We aim to establish and enhance mechanical actuation based on the reversible switching of soft, water-filled hydrogels in response to external triggers (e.g., pH, ionic strength, electrical potential, CO2). For the first time, we aim to realize such an actuation on both nm- (ligament/pore scale) and mm-scopic levels by embedding soft responsive hydrogels in a hard, porous matrix (np-Au from A2) with responsive hydrogels, thus combining reversible switchability in aqueous media with significant macroscopic response and local controllability. We will focus on cellulose-based hydrogels, known for their inherent responsiveness in aqueous environments [Don21]. The envisioned materials will refine and optimize hydrogel actuation for broader applicability in diverse devices. The precise control of mechanical properties of hydrogels needed for active control of actuation is a challenge: although fundamental mechanisms are understood, there is a lack of research aiming at the predictable control of overall hydrogel actuation, which is necessary to pave the way for the application of these sustainable materials in devices [Che22]. Key scientific questions include: How can we tune hydrogel/wall interactions for optimal integration of hydrogels into a porous metal matrix forming a hybrid material? How can we use engineered biofilm matrix-enzyme interactions to maximize the actuation of hydrogel/metal hybrid systems in response to external stimuli? How can we predict/model the hybrid material response and thus define optimal mechanical actuation?
      42
  • Some of the metrics are blocked by your 
    Item type:Project,
    GRK 3068 - Climate-informed Engineering
    Spokesperson: Professor Dr. Shokri Deputy spokesperson: Professor Dr. Smirnova Breakthroughs in computing have led to the development of new generations of Earth Systems Models, which provide detailed information on how our planet may locally respond to the ongoing global warming, with unprecedented spatial and temporal resolutions of 1 km and a few minutes, respectively. This massive climate data may be of little value, if not utilized by engineers who are involved in developing technical solutions for real-world challenges. Engineers stand to benefit from seizing this opportunity and by incorporating climate data in engineering designs, solutions, and practices. This benefit is precisely the key driving force for founding the Research Training Group (RTG) on Climate-informed Engineering (CIE) as an emerging interdisciplinary field of research integrating state-of-the-art climate information with engineering education. A structured training strategy is designed in the RTG featuring a broad range of educational activities to facilitate training and promote early-career researchers who will contribute to developing the next generation of engineering solutions that are adaptive to climate. In doing so, we will integrate a new generation of climate models in our training through the active involvement of the Max-Planck Institute for Meteorology (MPI-M), an internationally renowned organization at the forefront of global efforts on climate models. Furthermore, the RTG offers a joint PhD program between TUHH and the United Nations University Institute for Water, Environment and Health (UNU-INWEH). Hence, the PhD candidates will benefit from the interactions with renowned experts at UNU and the UN on a variety of topics related to United Nations Sustainable Development Goals, which is at the heart of our RTG. The RTG will utilize engineering science and innovative approaches to develop new materials, processes, and predictive capabilities to help people, businesses, and ecosystem in the face of climate change. The RTG will include three main Research Areas, namely CIE for Built Environment, CIE for Process Engineering and CIE for Sustainable Resource Management and Environment. Ten projects are designed in the first funding phase, covering a wide range of topics, spanning from influence of climate on renewable resources and food engineering to developing novel materials for latent heat storage. The projects will couple indoor and outdoor climates based on Internet-of-Things technologies and will develop predictive capabilities for water and food security. All the principal investigators and PhD candidates share the common goal of employing new-generation climate information to devise strategies for mitigating climate change. This interdisciplinary RTG is the first of its kind, ultimately enabling engineers to build infrastructure and to develop new materials and processes that are informed by the climate data, which will be an increasingly important dimension of engineering education in the 21st century.
      128
  • Some of the metrics are blocked by your 
    Item type:Project,
    SPP 2494: Microbial biofilms upcycling plastics to produce valuable chemical compounds
    The BIOCYCLING project aims to develop a biofilm-based system to convert polyethylene terephthalate (PET) plastics into valuable chemical compounds. With a focus on microbial degradation, the project is investigating the mechanisms of biofilm formation on PET surfaces and how bacterial architecture and cell physiology influence the efficiency of PET degradation. The research focuses on the development of bacterial strains, in particular Comamonas thiooxidans, that can robustly secrete PETase and metabolize PET. With these, a continuous bioreactor system is being developed in which biofilms efficiently degrade PET and convert terephthalic acid into 3,4-dihydroxybenzoic acid (PCA). This process includes the optimization of inline analytical methods, including FTIR and NMR, for the precise detection of degradation products. Through this fundamental research, the project aims to create an efficient, scalable solution for sustainable plastic recycling. This project is divided into three main objectives: understanding biofilm binding, developing PET-degrading bacteria, and optimizing bioreactors for the continuous upgrading of PET to valuable chemicals.
      33
  • Some of the metrics are blocked by your 
    Item type:Project,
      15
  • Some of the metrics are blocked by your 
    Item type:Project,
    FOR 5730: Online analytics for reaction mixtures and characterization of enzymatic (de)carboxylation at ambient and high pressure in DESs
    The goal of this subproject is to explore and understand the interactions between deep eutectic solvent (DES)-based reaction systems and enzymes in the biotransformations of carboxylation and decarboxylation, under both ambient and high pressure conditions, up to 120 MPa. For these applications, the DESs physicochemical properties need to be fine-tuned by the composition of the hydrogen bond donor and the hydrogen bond acceptor that form hydrogen bond networks. The composition is crucial to achieve, among others, high substrate solubility, enzyme stability and enzyme activity. Online analytical techniques, such as FTIR and NMR spectroscopy, will be applied to monitor these reactions in real-time. Here, chemometric models need to be developed, both indirect hard modeling based on physical properties and flexible soft modeling, to accurately quantify dynamic changes in reaction components in the DES-based media throughout a process. This insight is crucial for understanding and, in consequence thereof, to select optimal reaction conditions and DES media choices in biocatalysis. A fundamental research question involves the effect of water content in DESs on enzymatic activity and stability. By manipulating this balance, the project seeks to understand and enhance the catalytic efficiency of enzymes while maintaining the environmentally benign nature of DESs. In this way, thermodynamic and kinetic data and data on process parameters and enzyme-solvent interactions will be gathered. In cooperation with the FOR 5730 partners, an iterative cycle of "design-analyze-understand" is created to develop better DES media and models predicting respective interactions. These models will be used in combination with reaction engineering approaches to investigate suitable downstream approaches, such a crystallization, adsorption and extraction, for efficient product isolation while ensuring reusability of DES components and biocatalyst. The research also intends to pioneer the study of biocatalysis in DES under elevated pressures, investigating how such conditions affect enzyme behavior and reaction dynamics, including potential carbamate formation which could influence enzyme functionality. Ultimately, this project could lead to new methodologies and insights of DES as non-conventional solvent systems, for use in biocatalysis and its applications in gas adsorption and storage.
      17
  • Some of the metrics are blocked by your 
    Item type:Project,
      23
  • Some of the metrics are blocked by your 
    Item type:Project,
    SPP 2240: Multistep Bioelectrochemical Reaction Cascade in Continuously Operated Flow Reactors
    The main objective of this project is to elucidate the key scientific questions to enable multistep bioelectrochemical reaction cascades in continuously operated flow reactors. The transition from AiO electrode setup in a batch to a continuously operated bioelectrochemical process starts from the established one-step bioelectrochemical system in the first project phase. This will be extended to a three-step bioelectrochemical reaction cascade, the oxidative valorization of 5-hydroxymethylfurfural (HMF) to valuable 2,5-furandicarboxylic acid (FDCA) catalyzed by two different unspecific peroxygenases (UPO). This cascade setup will allow the detailed study of different steady-state conditions through different reactor configurations, operating points as well as systematic properties of enzyme/electrode interactions. The reactor cascade can be operated with immobilized UPOs on the electrode surface as a sequence of plug flow reactors (PFR) as well as circulation loop reactors in continuously operated stirred tank reactor mode (CSTR). Alternatively, homogeneously solubilized UPOs can be applied that are recycled via an additional ultrafiltration membrane unit in the recirculation stream. By these two fundamental different reactor cascade configurations, a deepened understanding on affecting key performance parameters will be generated. Furthermore, challenges pointed out in the previous project will be addressed by designing improved porous Globugraphite (GG) electrodes. Key objective is to improve H₂O₂ productivity and Faradaic efficiency (F.E.). Several approaches will be explored, such as varying the polyvinyl butyral (PVB) content to influence the porosity of the GG and implementing multiple segmented GG modules. The latter ones might be separated by isolation or connected as units of different porosity. This will allow for a gradient of the H₂O₂ generation rate needed in a PFR setup to minimize H₂O₂ accumulation and enzyme deactivation. The following key scientific questions will be addressed: • How do the flow reactor geometry and increased flow rate influence mass transfer across/through the electrode, possible diffusion limitation as well as enzyme stability? • How does the morphology of the GG need to be varied by polyvinyl butyral (PVB) content, ZnO particle size and wall thickness to affect pore size in a way to maximize / tailor H₂O₂ productivity and F.E.? • How can the durability of GG electrodes be increased by thermal treatment and/or wall thickness to withstand the internal gas pressure? • How is a segmented graphite electrode to be designed to enable a length gradient in H₂O₂ generation rate? • How do different reactor operation modes (e.g. batch, PFR, CSTR) and resulting different linear flow rates influence performance indicators such as total turnover number (TTN), turnover frequency (TOF), enzyme deactivation constants and productivity?
      135