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As exothermic reactions pose inherent safety hazards in chemical development and scale-up, either constant supervision or automated and safe dosing control has traditionally been required.
This case study describes how the Process R&D Group at a leading pharmaceutical company, Grünenthal GmbH, Germany, now runs scale-up experiments safely without manual supervision, in order to increase productivity without increasing staff. Grünenthal Process R&D now automates semi-batch dosing in their multi-liter jacketed lab reactors, and runs highly exothermic reactions unattended without compromising safety.
This webinar focuses on how to improve process development and scale-up by leveraging calorimetry and in situ process analysis. In order to provide the best possible customer service, Lubrizol redefined traditional process development to reduce the time and complexity of new product development, and scale-up/scale-down optimization.
This case study describes avoiding impurity formation with automated pH and temperature control.
This paper describes the Design of Experiments (DoE) approach and how it is used to identify the relationship between parameters, defining optimal settings at which the response variable (including yield, selectivity, impurity level) reaches the ideal value.
Design of Experiments (DoE) requires experiments to be conducted under well-controlled and reproducible conditions in chemical process optimization. Chemical synthesis reactors are designed to perform DoE investigations ensuring high quality data.