Gerigk, M.; Luca, S. V.; Schwarzenbach, S.; Minceva, M. Model-based design of gradient elution in liquid-liquid chromatography: Application to the separation of cannabinoids. J. Chromatogr. A 2024, 1722, 464888. https://doi.org/10.1016/j.chroma.2024.464888
Abstract
Liquid-liquid chromatography…
[weiterlesen]
Peng, D.; Minceva, M. Predicting the density and viscosity of deep eutectic solvents at atmospheric and elevated pressures. Fluid Phase Equilib. 2024, In press. https://doi.org/10.1016/j.fluid.2024.114086
Abstract
Deep eutectic solvents (DESs) are promising and sustainable substitutes for organic…
[weiterlesen]
Schmitz, F.; Knöchelmann, E.; Kruse, T.; Minceva, M.; Kampmann, M. Continuous Multi-Column Capture of Monoclonal Antibodies with Convective Diffusive Membrane Adsorbers. Biotechnol. Bioeng. 2024, 1–7. https://doi.org/10.1002/bit.28695.
Abstract
Downstream processing is the bottleneck in the…
[weiterlesen]
Melanie Gerigk’s poster “Model-based design of gradient elution in liquid-liquid chromatography: separation of cannabinoids” won the best poster award at the Annual Meeting of the DECHEMA Group Extraction.
[weiterlesen]
Buchweitz, V.; Peng, D.; Minceva, M. Liquid − Liquid Equilibria of Green and Biobased Solvents 2 ‑ Methyltetrahydrofuran + ( Ethanol or 1 ‑ Butanol ) + Water and Cyclopentyl-Methyl-Ether + ( Ethanol or 1 ‑ Butanol ) + Water At. J. Chem. Eng. Data 2024, In press.…
[weiterlesen]
Sophie Schwarzenbach´s MSc thesis, „Modeling and optimization of gradient elution in liquid-liquid chromatography“ won the prize of the major of Freising Tobias Eschenbacher for the best master thesis in 2023 for the study programs "Food Technology", "Brewing and Beverage Technology", and…
[weiterlesen]
Peng, D.; Yu, Z.; Alhadid, A.; Minceva, M. Modeling the Viscosity of ChCl-Based Deep Eutectic Solvents and Their Mixtures with Water. Ind. Eng. Chem. Res. 2024, In press. https://doi.org/10.1021/acs.iecr.3c03652
Abstract
Choline chloride (ChCl)-based deep eutectic solvents (DESs) are emerging as…
[weiterlesen]
Pannusch, V. B.; Schmieder, B. K. L.; Vannieuwenhuyse, L.; Minceva, M.; Briesen, H. Model-Based Kinetic Espresso Brewing Control Chart for Representative Taste Components. J. Food Eng. 2024, 367, 111887. https://doi.org/10.1016/j.jfoodeng.2023.111887.
Abstract
Influencing espresso coffee quality…
[weiterlesen]
