TY - CONF A1 - Kern, Simon T1 - Low field NMR spectroscopy for sustainable and flexible production of high quality chemical products N2 - The main development goal of process industries is to advance the continuous production of high-value products that meet high quality demands in flexible intensified continuous plants by introducing novel online sensing equipment and closed-loop control (CONSENS – integrated control and sensing- is funded from the European Union’s Horizon 2020 research and innovation programme). Therefore, we present the field integration of a benchtop NMR instrument into a modular production environment, focussing on suitable equipment for operation in hazardous areas with risk of explosive atmospheres. We investigated a pharmaceutical reaction step in order to describe challenges for the experimental design, the evaluation of complex NMR spectra and demonstrate automated data analysis tools. T2 - 5th Panic - Practical Applications of NMR in Industry Conferece CY - Hilton Head Island, SC 29928, USA DA - 20.02.2017 KW - Online NMR spectroscopy KW - Automated data evaluation KW - Process control PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-392333 AN - OPUS4-39233 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kern, Simon T1 - Automated data preparation and spectral modeling N2 - For reaction monitoring and process control using NMR instruments, in particular, after acquisition of the FID the data needs to be corrected in real-time for common effects using fast interfaces and automated methods. Conventionally, sensors have to be calibrated in a first step to find a response curve between the sensor signal and physical or chemical properties of the sample. In a second step, a model of the response between these parameters (e.g., concentrations) and the targeted quality specifications is needed. Thanks to the direct proportionality of the molar concentrations and the NMR signal, it could directly be used in the near future to relate the process target quality specification to sensor data – also in combination with multiple other sensor or process information. T2 - qNMR Summit 2017 CY - Berlin, Germany DA - 16.03.2017 KW - Quantitative NMR spectroscopy KW - Automated data evaluation PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-393998 AN - OPUS4-39399 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -