Assessing the impact of deviations in optimized multistep flow synthesis on the scale-up
| Autor: | Dong-Pyo Kim, Joy Raval, Amol A. Kulkarni, Mrityunjay K. Sharma, Gwang-Noh Ahn |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Fluid Flow and Transfer Processes
Capital investment Process (engineering) business.industry Reaction step Computer science Process Chemistry and Technology Small deviations 3D printing Catalysis Flow (mathematics) Chemistry (miscellaneous) Scalability SCALE-UP Chemical Engineering (miscellaneous) business Process engineering |
| Zdroj: | Reaction Chemistry & Engineering. 5:838-848 |
| ISSN: | 2058-9883 |
| DOI: | 10.1039/d0re00025f |
| Popis: | This manuscript highlights the unavoidable connection between manual and self-optimized flow synthesis protocols for multistep flow synthesis and its scale-up. While briefly summarizing the state of the art in the self-optimization approach, a brief summary of industrially scaled-up processes is also given. We have used as a case study the flow synthesis of ivacaftor that is optimized at the laboratory scale and is subjected to specific deviations deliberately. The resulting effects are captured in terms of their effect on the scale-up approach. The analysis shows that small deviations in performance viz. conversion or selectivity at every reaction step would lead to significant deviation in the process and the overall capital investment. Translating “laboratory synthesis” into “commercial scale manufacturing” needs careful differentiation between an optimized reaction step and realizing a commercially feasible process. We have also highlighted the role of 3D printing in fabricating prototype and scalable flow systems. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|