Chen Yan, Liao Ran, Li Jiajin, Zhou Hu, Wang Hongjian, Zhuo Zepeng, Wang Qiang, Yan Chongling, Ma Hui
Appl Opt. 2021 Nov 10;60(32):10264-10272. doi: 10.1364/AO.440400.
Monitoring the particulate composition changes during the flocculation process is still challenging for the research community. We use an experimental setup based on polarized light scattering to measure the polarization states of the scattered light of the individual particles. We build a classifier based on the support vector machine and feed it with the measured parameters. Results show that the classifier can effectively classify the particulate compositions, such as the sediment particles, flocculants, and flocs, which can be used to monitor the particulate composition changes during the flocculation process. Discussions on the intensity and polarization parameters find that the polarization parameters play a vital role in the classification of the particulate compositions in the flocculation suspensions. Additionally, the further analysis of the experimental data and the related simulations show that the degree of polarization can be an indicator of the flocculation process. We prove that the method based on polarized light scattering may be a potential in situ monitoring tool in the future for the study of the flocculation process.
监测絮凝过程中颗粒组成的变化对研究界来说仍然具有挑战性。我们使用基于偏振光散射的实验装置来测量单个颗粒散射光的偏振态。我们基于支持向量机构建了一个分类器，并将测量参数输入其中。结果表明，该分类器能够有效地对颗粒组成进行分类，如沉积物颗粒、絮凝剂和絮体，可用于监测絮凝过程中颗粒组成的变化。对强度和偏振参数的讨论发现，偏振参数在絮凝悬浮液中颗粒组成的分类中起着至关重要的作用。此外，对实验数据的进一步分析和相关模拟表明，偏振度可以作为絮凝过程的一个指标。我们证明，基于偏振光散射的方法未来可能成为研究絮凝过程的一种潜在的原位监测工具。
