TY - CONF A1 - Maiwald, Michael A1 - Meyer, Klas A1 - Kern, S. A1 - Guhl, Svetlana A1 - Bornemann-Pfeiffer, Martin A1 - Wander, L. T1 - Modular process control with compact NMR spectroscopy – From Field Integration to Automated Data Analysis N2 - Chemical and pharmaceutical companies have to find new paths to survive successfully in a changing environment, while also finding more flexible ways of product and process development to bring their products to market more quickly – especially high-quality high-end products like fine chemicals or pharmaceuticals. A current approach uses flexible and modular chemical production units, which can produce different high-quality products using multi-purpose equipment with short downtimes between campaigns and reduce the time to market of new products. NMR spectroscopy appeared as excellent online analytical tool and allowed a modular data analysis approach, which even served as reliable reference method for further Process Analytical Technology (PAT) applications. Using the available datasets, a second data analysis approach based on artificial neural networks (ANN) was evaluated. Therefore, amount of data was augmented to be sufficient for training. The results show comparable performance, while improving the calculation time tremendously. In future, such fully integrated and interconnecting “smart” systems and processes can increase the efficiency of the production of specialty chemicals and pharmaceuticals. At the end of the article, ideas for solutions are discussed in order to speed up the implementation of new special products from the point of view of process analytics and to network the existing process chains more closely. T2 - PATriCK 2022 – Merck conference on PAT technology CY - Darmstadt, Germany DA - 19.10.2022 KW - Process Analytical Technology KW - Digitalisation KW - Process Industry KW - Online NMR Spectroscopy KW - Modular Production PY - 2022 AN - OPUS4-56089 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -