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In-line evaluation of average particle size in styrene suspension polymerizations using near-infrared spectroscopy

โœ Scribed by A. F. Santos; E. L. Lima; J. C. Pinto


Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
201 KB
Volume
70
Category
Article
ISSN
0021-8995

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โœฆ Synopsis


The main objective of this article is evaluating the influence of average polystyrene particle size upon the near-infrared (NIR) spectra collected during suspension polymerization experiments and observing whether NIR spectroscopy may be used for in-line monitoring and control of average particle size. It is shown that NIR spectra are sensitive to changes of the average particle size, and that standard empirical models (PLS-partial least squares-and NN-neural networks) may be built to correlate average particle size and light absorbance at certain wavelengths fairly well. Finally, it is shown that these models allow the in-line evaluation of average particle size in styrene suspension polymerizations with NIR spectroscopy.


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โœ A. F. Santos; E. L. Lima; J. C. Pinto ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 238 KB ๐Ÿ‘ 1 views

In a previous paper, Santos et al. (J Appl Polym Sci 1998, 20, 1737) showed that NIRS may be used efficiently for in-line evaluation of average particle sizes in styrene suspension polymerizations if proper calibration is carried out with the help of both multivariate techniques and nonlinear models