The problems of extracting products efficiently from reaction workups are often overlooked. Issues such as emulsions and rag layer formation can cause long separation times and slow production, thus resulting in manufacturing inefficiencies. To better understand science within this area and to support process development, an image processing methodology has been developed that can automatically track the interface between liquid–liquid phases and provide a quantitative measure of the separation rate of two immiscible liquids. The algorithm is automated and has been successfully applied to 29 cases. Its robustness has been demonstrated with a variety of different liquid mixtures that exhibit a wide range of separation behavior─making such an algorithm suited to high-throughput experimentation. The information gathered from applying the algorithm shows how issues resulting from poor separations can be detected early in process development.

中文翻译：

---

使用自动图像处理算法确定相分离动力学

从反应后处理中有效提取产物的问题常常被忽视。乳剂和破布层形成等问题会导致分离时间长和生产缓慢，从而导致制造效率低下。为了更好地理解这一领域的科学并支持工艺开发，已经开发出一种图像处理方法，可以自动跟踪液-液相之间的界面，并提供两种不混溶液体的分离速率的定量测量。该算法是自动化的，已成功应用于 29 个案例。它的稳健性已通过各种不同的液体混合物得到证明，这些液体混合物表现出广泛的分离行为——使这种算法适合高通量实验。