Chemistry and Bioanalytics
Producing and characterising new substances – developing and applying new test systems.
The Chemistry and Bioanalysis research fields are interdisciplinary, at the interface of chemistry, biology, medicine and pharmaceutical technology. Our work in chemistry focuses on production and characterization of new substances and materials, using cutting edge methods in synthesis chemistry, analytics, process engineering and surface- and nanotechnology. In bioanalysis we develop easy to use diagnostic test systems that patients can administer themselves. This is thanks to the broad range of molecular biology, protein biochemistry and cell culture technologies at our disposal. In drug development we design in vitro tests, as well as state of the art 3D cellular test systems to simulate organ function and which can partially replace animal testing.
Our team-oriented organizational structure is based on largely independent research groups with a high degree of personal responsibility. Our staff have years of industry experience, which they incorporate both into their research and their teaching.
Institute flyer (PDF)
Our fields of research
Our diverse yet highly focused specialisms allow us to take an interdisciplinary approach to applied research and development projects in various fields of life sciences.
Instrumental Analytics
Our team works with a wide range of state-of-the-art technologies and corresponding applications in labs kitted out with the latest equipment.
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In vitro Diagnostics
In vitro Diagnostics is a service for patients involving the early identification, diagnosis and treatment of diseases.
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Proteins and Enzymes
Proteins, and enzymes in particular, are pivotal to a cell’s function. Protein engineering allows proteins to be optimised for technical applications.
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Cell Biology and in vitro Toxicology
We employ cell cultures and tissue engineering in our research in order to investigate diseases and the efficacy and toxicity of substances.
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Biointerfaces
Engineered nanoparticles and interfaces for modulation and monitoring of biological systems.
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Data Science in Life Sciences
Development of computational and machine learning algorithms and implementation of databases for knowledge representation and discovery in the life sciences.
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nanoLab
Innovative synthesis, modification & characterization of surfaces, hard and soft materials, hydrogels, vesicles & colloids
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