2.5.4 Reliable Online-Prediction of Characteristic Process Parameters by FTNIR-Spectroscopic Analysis
- Event
- 14th International Meeting on Chemical Sensors - IMCS 2012
2012-05-20 - 2012-05-23
Nürnberg/Nuremberg, Germany - Chapter
- 2.5 IR and Raman-based Sensors
- Author(s)
- W. Summerer, M. Pwaliczek, J. Kasberger - RECENDT GmbH (Austria), H. Trinker, P. Hintenaus - University Salzburg (Austria), W. Märzinger - i-RED GmbH (Austria), T. Reischer, M. Nowak, M. Emsenhuber - Dynea GmbH (Austria)
- Pages
- 237 - 240
- DOI
- 10.5162/IMCS2012/2.5.4
- ISBN
- 978-3-9813484-2-2
- Price
- free
Abstract
Within the industrial research project “Process Analytical Chemistry” (PAC) we are working on FTNIRspectroscopic measurement systems predicting characteristic parameters of industrial production processes. Those parameters are usually monitored offline or at-line with time consuming and expensive laboratory methods. In this contribution, we present a spectroscopic measurement configuration together with the required chemometric analysis, acting as an online-monitoring system. In order to demonstrate the potential of such a system we use the example of melamine resin production in an industrial process. At company partner Dynea the predicted value of the turbidity point is used as an indicator for the end of the batch reaction (turning off heating). Furthermore, we illustrate a way to verify the chemometric prediction by calculating a confidence interval for each predicted value.