Artículos de revistas
Multivariate Statistical Analysis Of Mid-infrared Spectra For The Online Monitoring Of 2-ethylhexyl Acrylate/styrene Emulsion Copolymerization
Registro en:
Journal Of Applied Polymer Science. , v. 82, n. 7, p. 1776 - 1787, 2001.
218995
10.1002/app.2020
2-s2.0-0035860947
Autor
Faez R.
De Paoli M.A.
Institución
Resumen
This article describes the application of multivariate statistical process control techniques to a series of mid-infrared spectra collected online from a styrene/ 2-ethylhexyl acrylate emulsion copolymerization process. Principal component analysis of the mid-infrared spectral data indicated that in situ monitoring of the complex copolymerization process was feasible in the spectral region of interest. It was also observed that projection to latent structures or partial least squares (PLS) could be used for the effective indirect online prediction of individual monomer conversions and copolymer compositions over a substantial range of process operating conditions. A combination of the developed PLS methodology with a mid-infrared attenuated total reflection probe proved to be an effective tool for the efficient online characterization of polymer quality, thereby overcoming the lack of robust online conversion and composition measuring devices. © 2001 John Wiley & Sons, Inc. J Appl Polym Sci. 82 7 1776 1787 Kammona, O., Chatzi, E.G., Kiparissides, C., (1999) J Macromol Sci Rev Macromol Chem Phys, 39, p. 57 Jolliffe, L.T., (1986) Principal Component Analysis, , Springer-Verlag: New York Jackson, J.E., (1991) A User's Guide to Principal Components, , Wiley: New York Wold, S., Esbensen, K., Geladi, P., (1987) Chemom Intell Lab Syst, 2, p. 37 Geladi, P., Kowalski, B.R., (1986) Anal Chim Acta, 185, p. 1 Hoskuldsson, A., (1988) J Chemom, 2, p. 211 Martens, H., Naes, T., (1991) Multivariate Calibration, , Wiley: New York Kresta, J.V., MacGregor, J.F., Marlin, T.E., (1991) Can J Chem Eng, 69, p. 35 MacGregor, J.F., Kourti, T., (1995) Control Eng Practice, 3, p. 403 Skagerberg, B., MacGregor, J.F., Kiparissides, C., (1992) Chemometrics and Intelligent Laboratory Systems, 14, p. 341 Fuller, M.P., Ritter, G.L., Draper, C.S., (1988) Appl Spectrosc, 42, p. 217 Hazel, G., Bucholtz, F., Aggarwal, I., Nau, G., Ewing, K., (1997) Appl Spectrosc, 51, p. 984 Ding, Q., Small, G.W., Arnold, M.A., (1999) Appl Spectrosc, 284, p. 333 Chatzi, E.G., Kammona, O., Kiparissides, C., (1997) J Appl Polym Sci, 63, p. 799 Bhandare, P., Mendelson, Y., Peura, R.A., Janatsch, G., Kruse-Jarres, J.D., Marbach, R., Heise, H.M., (1993) Appl Spectrosc, 47, p. 1214 Shen, C., Peacock, A.J., Alamo, R.G., Vickers, T.J., Mandelkern, L., Mann, C.K., (1992) Appl Spectrosc, 46, p. 1226 Chatzi, E.G., Kammona, O., Kentepozidou, A., Kiparissides, C., (1997) Macromol Chem Phys, 198, p. 2409 Wold, S., (1978) Technometrics, 20, p. 397 Fratzikinakis, C., Kammona, O., Kiparissides, C., J Appl Polym Sci, , to be submitted Elbergali, A., Nygren, J., Kubista, M., (1999) Appl Spectrosc, 379, p. 143