43434 2017 eng poster 0 -- -- -- For reaction monitoring using NMR instruments, in particular, after acquisition of the FID the data needs to be corrected in real-time for common effects using automated methods. When it comes to NMR data evaluation under industrial process conditions, the shape of signals can change drastically due to nonlinear effects. However, the structural and quantitative information is still present but needs to be extracted by applying predictive models. Acquired raw spectra were processed with the following tools: · Phase correction using the Entropy minimization method · Baseline correction using a low-order Polynomial fit · Alignment (icoshift) Pure component models based on Pseudo-Voigt functions can be derived via peak fitting of measured pure components or by the use of spin calculations. urn:nbn:de:kobv:b43-434346 Tackling the Future of Plant Operation - Jointly towards a Digital Process Industry Barcelona, Spain 13.12.2017 14.12.2017 Creative Commons - Namensnennung - Nicht kommerziell - Keine Bearbeitung 3.0 Lukas Wander eng uncontrolled Process Monitoring eng uncontrolled Online NMR Spectroscopy eng uncontrolled Indirect Hard Modeling eng uncontrolled Spectral Modeling eng uncontrolled Process Analytical Technology eng uncontrolled CONSENS Analytische Chemie Datei für die Öffentlichkeit verfügbar ("Open Access") Präsentation BAM Präsentationen Bundesanstalt für Materialforschung und -prüfung (BAM) https://opus4.kobv.de/opus4-bam/files/43434/Poster_CONSENS_Barcelona_Data_analysis.pdf