Mixtures of unknown composition frequently occur in process engineering. This leads to problems in process design and optimization, since thermodynamic modeling requires knowledge of the composition, which canbe difficult to obtain. Therefore, in this project we develop so-called NMR fingerprinting methods, which allow an automatic analysis of unknown mixtures based on simple NMR experiments and machine learning methods.