工作流程
过程开发
过程(计算)
计算机科学
开发(拓扑)
系统工程
化学
工程类
过程管理
软件工程
工程管理
工作(物理)
在制品
工艺工程
管理科学
制造工程
化学家
作者
Toby H. Waldron Clarke,Cristina García‐Morales,Annabel J. Morris,Robert J. Cox,Larry Hoteite,Brian Taylor,Ian D. G. Nixon,Andy Yen
标识
DOI:10.1021/acs.oprd.5c00514
摘要
Data-rich synthetic chemistry, enabled by high-throughput experimentation (HTE) and automation, allows the acquisition of concentration data across the full time-course of multiparallel reactions. This approach is both time- and material-efficient and can be leveraged for strategies beneficial to pharmaceutical process development, including reaction profiling, visual kinetic analysis, and predictive kinetic and hybrid reaction modeling. Here, we describe the development and adoption of HTE kinetics workflows within AstraZeneca’s process chemistry department and the advantages realized.
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