Schlappa Stephanie, Pauer Werner, Reich Oliver, Münzberg Marvin
Institute for Technical and Macromolecular Chemistry, University of Hamburg, Bundesstraße 45, 20146 Hamburg, Germany.
Department of Physical Chemistry-InnoFSPEC, University of Potsdam, Am Mühlenberg 3, 14476 Potsdam, Germany.
Polymers (Basel). 2025 Feb 26;17(5):629. doi: 10.3390/polym17050629.
Photon Density Wave (PDW) spectroscopy is used as process analytical technology (PAT) in three batch sizes, 1 L, 10 L and 100 L, of polyvinyl acetate-neodecanoic acid vinyl ester (Versa 10) copolymerization. The effects on particle formation and growth are comparably analyzed. The data show comparability across scales up to a polymer volume fraction of around 0.15. Deviations beyond this suggest differences in particle growth dynamics. A detailed analysis of the dispersion dynamics and mixing properties provides an enhanced understanding compared to previous studies. Furthermore, the PDW spectroscopy data suggest inhomogeneity due to insufficient mixing at the beginning of the syntheses, despite very low feed-rates of the monomer mixture. PDW spectroscopy is thus capable of monitoring deviations in syntheses at different reaction volumes in real-time. These findings underline the potential of PDW spectroscopy not only for monitoring synthesis but also for enabling inhomogeneity analysis as a new application area. The integration of offline conversion and particle size measurements emphasizes the critical role of mixing efficiency in achieving optimal polymer dispersion properties and final product quality.
光子密度波(PDW)光谱法被用作过程分析技术(PAT),用于1升、10升和100升三种批量规模的聚乙酸乙烯酯 - 新癸酸乙烯酯(Versa 10)共聚反应。对颗粒形成和生长的影响进行了比较分析。数据表明,在聚合物体积分数约为0.15之前,不同规模之间具有可比性。超过此值的偏差表明颗粒生长动力学存在差异。与先前的研究相比,对分散动力学和混合特性的详细分析提供了更深入的理解。此外,PDW光谱数据表明,尽管单体混合物的进料速率非常低,但由于合成开始时混合不充分,导致体系存在不均匀性。因此,PDW光谱能够实时监测不同反应体积下合成过程中的偏差。这些发现强调了PDW光谱不仅在监测合成过程方面的潜力,而且在作为一个新的应用领域进行不均匀性分析方面的潜力。离线转化率和粒度测量的结合强调了混合效率在实现最佳聚合物分散性能和最终产品质量方面的关键作用。