High-Throughput Automation in Chemical Process Development

Высокопроизводительная автоматизация разработки химических процессов
Joshua A. Selekman, Jun Qiu, Kristy Tran, Jason M. Stevens, Victor W. Rosso, Eric M. Simmons, Yi Xiao, Jacob M. Janey
2017-05-01

chemical process developmenthigh-throughput automationparallel experimentationpharmaceutical process developmentstatistical experimental design
High-throughput (HT) techniques built upon laboratory automation technology and coupled to statistical experimental design and parallel experimentation have enabled the acceleration of chemical process development across multiple industries. HT technologies are often applied to interrogate wide, often multidimensional experimental spaces to inform the design and optimization of any number of unit operations that chemical engineers use in process development. In this review, we outline the evolution of HT technology and provide a comprehensive overview of how HT automation is used throughout different industries, with a particular focus on chemical and pharmaceutical process development. In addition, we highlight the common strategies of how HT automation is incorporated into routine development activities to maximize its impact in various academic and industrial settings.
1
Effective integration of high-throughput automation into routine development activities can maximize its impact in both academic and industrial settings.
2
High-throughput techniques combining laboratory automation, statistical experimental design, and parallel experimentation accelerate chemical process development across multiple industries.
3
High-throughput technologies enable systematic interrogation of wide, multidimensional experimental spaces for designing and optimizing chemical-engineering unit operations.
4
The review traces the evolution of high-throughput technology and comprehensively examines its use in chemical and pharmaceutical process development.

high-throughput automation in chemical and pharmaceutical process development

the application and integration of high-throughput automation to interrogate multidimensional experimental spaces and accelerate the design and optimization of chemical-process unit operations

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Publication Date
2017-05-01
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Authors
Joshua A. Selekman
Jun Qiu
Kristy Tran
Jason M. Stevens
Victor W. Rosso
Eric M. Simmons
Yi Xiao
Jacob M. Janey
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