Determining Phase Separation Dynamics with an Automated Image Processing Algorithm.
Determining Phase Separation Dynamics with an Automated Image Processing Algorithm.
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DOI：
10.1021/acs.oprd.2c00357
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发表时间：
2023-04-21
影响因子：
3.4
通讯作者：
Kapur, Nikil
中科院分区：
文献类型：
--
作者：
Daglish, James;Blacker, A. John;de Boer, Gregory;Crampton, Alex;Hose, David R. J.;Parsons, Anna R.;Kapur, Nikil
从反应后处理中有效地提取产物的问题常常被忽视。诸如乳液和碎料层形成的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过程开发，已经开发了一种图像处理方法，该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，并已成功应用于29例。它的鲁棒性已被证明与各种不同的液体混合物，表现出广泛的分离行为，使这样的算法适合于高通量实验。通过应用该算法收集的信息显示了如何在工艺开发的早期检测到分离不良导致的问题。
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.
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DOI：
10.1016/s0927-7757(98)00680-3
发表时间：
1999-07-15
影响因子：
5.2
作者：
Mengual, O;Meunier, G;Snabre, P
通讯作者：
Snabre, P
影响因子：
1.2
作者：
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通讯作者：
Paredes, M. L. L.
影响因子：
3.4
作者：
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通讯作者：
Razler, Thomas M.
影响因子：
3.4
作者：
Barrington, Henry;Dickinson, Alan;McGuire, Jake;Yan, Chunhui;Reid, Marc
通讯作者：
Reid, Marc
影响因子：
1.6
作者：
Acosta, Edgar J.;Yuan, Jessica Sh.;Bhakta, Arti Sh.
通讯作者：
Bhakta, Arti Sh.