AI Article Synopsis
- The first-time monitoring of a high solids content n-butyl acrylate/methyl methacrylate emulsion copolymerization process was achieved using on-line Fourier transform (FT)-Raman spectroscopy under starved semi-batch conditions.
- Partial least squares regression helped create calibration models to connect the spectral data with important variables like solids content, free monomer amounts, and copolymer composition.
- Despite challenges like heterogeneous polymerization and low monomer concentrations, FT-Raman spectroscopy proved to be an effective noninvasive tool for real-time monitoring and control of all-acrylic polymerization processes.
Article Abstract
A high solids content n-butyl acrylate/methyl methacrylate emulsion copolymerization process carried out under starved semi-batch conditions was for the first time monitored on-line by means of Fourier transform (FT)-Raman spectroscopy. Partial least squares regression was employed to build calibration models that allowed relating the spectra with solids content (overall conversion), free amounts of both n-butyl acrylate (n-BA) and methyl methacrylate (MMA), and cumulative copolymer composition. In spite of the heterogeneous nature of the polymerization, the similarities of the spectra for MMA, n-BA, and for the copolymer, and the low monomer concentrations in the reactor, the FT-Raman spectroscopy has been shown to be a suitable noninvasive sensor to accurately monitor the process. Therefore, it is well suited for on-line control of all-acrylic polymerization systems.
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| http://dx.doi.org/10.1366/000370205774431025 | DOI Listing |
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