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Mid- and near-infrared spectroscopies for quantitative tracking of isocyanate content: Streamlined development of monitoring tools for reactive extrusion synthesis of specialty polyurethanes

Fage, Aleksandra M. ; Backhaus, Christian A.; Becker, Wolfgang; Lorenz, Günter; Lorenz, Anita; Rebner, Karsten; Henning, Frank ORCID iD icon 1
1 Institut für Fahrzeugsystemtechnik (FAST), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Robust in-situ monitoring can expedite the development and tuning of reactive extrusion (REX) processes, especially for the synthesis of polymers requiring insight into the reaction course, such as specialty polyurethanes (PUs). In order to advance the feasibility of such analysis, our research concentrated on a spectroscopic protocol that combines at-line mid-infrared (MIR) and on-line near-infrared (NIR) measurements in a laboratory extruder, assessing both their qualitative and quantitative capabilities. To mimic the depletion of the reactive species during polymerisation, a series of premixes were formulated and characterised under non-reactive conditions using a benchmark pair of a polyol and a diisocyanate. By this means, we identified suitable spectral features for quantifying isocyanate content via multivariate regression models. This approach achieved good calibration metrics for both MIR and NIR models and enabled a robust assessment of their predictive performance through cross-validation, using only a moderate number of spectral datasets. Our work is therefore the first step towards establishing a method for in-process NIR analysis with streamlined at-line MIR verification. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000188984
Veröffentlicht am 18.12.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 09.2025
Sprache Englisch
Identifikator ISSN: 0142-9418
KITopen-ID: 1000188984
Erschienen in Polymer Testing
Verlag Elsevier
Band 150
Seiten 108925
Schlagwörter Polyurethane, Isocyanate quantification, Near-infrared spectroscopy, Mid-infrared spectroscopy, Partial Least Squares regression model, Process monitoring
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