2019•Chemical Engineering & TechnologyRequires access

Residence Time Distribution of a Capillary Microreactor Used for Pharmaceutical Synthesis

Érica Sayuri Siguemoto, Leandro Leite Reche, Jorge Andrey Wilhelms Gut, Mauri Sérgio Alves Palma

Open publisher page 29 citations

Abstract

Abstract The main drivers for application of small‐scale reactors in the pharmaceutical industry are the possibility of rapid synthesis and screening of novel drugs as well as the readiness of the scale‐up. The characterization of fluid flow pattern was performed through step‐up and step‐down residence time distribution experiments using a tracer at six different flow rates. Four single‐parameter models were considered for representing deviations from ideal plug flow and ideal laminar flow in tubes. The model that provided the best results was the axial dispersion model and the Peclet and Reynolds numbers could be well correlated. Obtained Peclet values from 44 to 244 were close toPe > 100, in which axial dispersion can be neglected and the reactor can be considered as plug flow reactor.

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Abstract The main drivers for application of small‐scale reactors in the pharmaceutical industry are the possibility of rapid synthesis and screening of novel drugs as well as the readiness of the scale‐up. The characterization of fluid flow pattern was performed through step‐up and step‐down residence time distribution experiments using a tracer at six different flow rates. Four single‐parameter models were considered for representing deviations from ideal plug flow and ideal laminar flow in tubes. The model that provided the best results was the axial dispersion model and the Peclet and Reynolds numbers could be well correlated. Obtained Peclet values from 44 to 244 were close toPe > 100, in which axial dispersion can be neglected and the reactor can be considered as plug flow reactor.

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Available abstract

Abstract The main drivers for application of small‐scale reactors in the pharmaceutical industry are the possibility of rapid synthesis and screening of novel drugs as well as the readiness of the scale‐up. The characterization of fluid flow pattern was performed through step‐up and step‐down residence time distribution experiments using a tracer at six different flow rates. Four single‐parameter models were considered for representing deviations from ideal plug flow and ideal laminar flow in tubes. The model that provided the best results was the axial dispersion model and the Peclet and Reynolds numbers could be well correlated. Obtained Peclet values from 44 to 244 were close toPe > 100, in which axial dispersion can be neglected and the reactor can be considered as plug flow reactor.

Key concepts: Residence time distribution, Plug flow, Péclet number, Microreactor, Laminar flow, Reynolds number, Dispersion (optics), Laminar flow reactor

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