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Monitoring of Emulsion Polymerization Reactors by Raman Spectroscopy: Calibration Model Maintenance

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Abstract:

Fourier transform (FT)-Raman combined with partial least squares regression (PLS-R) calibration models allows the accurate monitoring of solids content, copolymer composition, and free amounts of monomers in starved semi-batch emulsion copolymerizations. The calibration models remain valid as long as the spectrometer and the measuring conditions are unchanged. Unfortunately, maintenance and/or repairing of the spectrometer result in changes in the relative intensities of the peaks of the Raman spectrum, reducing the performance of the calibration models. Therefore, a strategy for the up-date of the PLS-R calibration models is needed. Strategies for calibration model maintenance were assessed, and we found that the best strategy was to build a new model composed of the old PLS-R model plus a PLS-R model able to account for the model mismatch of the old model.

Keywords: EMULSION COPOLYMERIZATION; MODEL MAINTENANCE; PARTIAL LEAST SQUARES REGRESSION; PLS; RAMAN SPECTROSCOPY

Document Type: Research Article

DOI: http://dx.doi.org/10.1366/000370205774430954

Affiliations: 1: Institute for Polymer Materials, POLYMAT, and Grupo de Ingeniería Química, Departamento de Química Aplicada, Facultad de Ciencias Químicas, The University of the Basque Country, Apdo, 1072, 20080 Donostia-San Sebastián, Spain 2: Institute for Polymer Materials, POLYMAT, and Grupo de Ingeniería Química, Departamento de Química Aplicada, Facultad de Ciencias Químicas, The University of the Basque Country, Apdo, 1072, 20080 Donostia-San Sebastián, Spain 3: Institute for Polymer Materials, POLYMAT, and Grupo de Ingeniería Química, Departamento de Química Aplicada, Facultad de Ciencias Químicas, The University of the Basque Country, Apdo, 1072, 20080 Donostia-San Sebastián, Spain

Publication date: October 1, 2005

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