In my current position as a researcher at the Department of Molecular Sciences, the research focus is on a combination of metabolomics and food science. I participate in various projects in close collaboration with other researchers, doctoral students and master students, and my work takes place via two research groups, Organic chemistry and Structure and properties of food, respectively. I also perform teaching in chemistry, mainly as a supervisor on computer- and/or laboratory exercises. I have previously done a postdoctoral fellowship in organic chemistry at SLU and I defended my PhD thesis entitled "Automated quantification of plasma metabolites by NMR to study prostate cancer risk biomarkers" at the same university in 2019.
- Fundamentals in Chemistry I
- Fundamentals in Chemistry II
- Organic Chemistry with energy applications
- Analytical Natural Products Chemistry
Metabolomics: In metabolomics, various techniques (e.g., NMR spectroscopy) are used for the analysis of low molecular weight compounds (metabolites) in many samples from biological samples. Metabolite concentrations are regulated by complex gene-environmental factors and therefore metabolomics has many different areas of application. A prerequisite for large-scale metabolomics studies is efficient methods for data analysis. Design, implementation and testing of automated methods is therefore important. Method development for effective data analysis can allow quantifications in more complex samples.
Food science: Development of new plant-based foods can contribute to a more sustainable food production- and consumption, but sometimes plant-based dairy substitutes display comparatively poor nutritional and/or sensory properties. In the FORMAS-funded project "Fermentation of Swedish faba beans for foods with improved texture, flavour and nutritional properties", we work with Swedish faba bean legume as raw material and evaluate different workflows for the production of yogurt-like food prototypes with the aim of improving nutritional and sensory properties.
- Postdoctoral fellowship in organic chemistry, Swedish University of Agricultural Sciences (Jan 2021-Jun 2022)
- PhD student in chemistry, Swedish University of Agricultural Sciences (2014-2021)
- Master's Programme in Chemical Engineering, Uppsala University, 2008-2013
- Röhnisch HE, Eriksson J, Tran LV, Müllner E, Sandström C, Moazzami AA. Improved Automated Quantification Algorithm (AQuA) and its application to NMR-based metabolomics of EDTA-containing plasma. Analytical Chemistry 2021, 93(25), 8729-8738
- Röhnisch HE, Kyrø C, Olsen A, Thysell E, Hallmans G, Moazzami AA. Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study. BMC Medicine 2020, 18, 187
- Röhnisch HE, Eriksson J, Müllner E, Agback P, Sandström C, Moazzami AA. AQuA: an Automated Quantification Algorithm for high-throughput NMR-based metabolomics and its application in human plasma. Analytical Chemistry 2018, 90(3), 2095-2102