journal article·2021-04Open access

Continuous Embedded Droplet Printing in Yield‐Stress Fluids for Pharmaceutical Drug Particle Synthesis

Arif Z. Nelson, Jiaxun Xie, Saif A. Khan, Patrick S. Doyle

Advanced Materials Technologies· Volume 6· Issue 4

Abstract

Abstract Embedded droplet printing is a recent mode of generating and processing droplets within yield‐stress fluids. This technique has shown promise for performing sensitive processes like pharmaceutical crystallization, as well as chemical synthesis and biological experimentation due to the unique ability to process droplets that are quiescently suspended. Despite improving on conventional microfluidic technologies in numerous ways, current embedded droplet printing methods are limited to batch processes, severely hampering their overall utility. A new platform that enables continuous production of embedded droplets is presented and characterized. This platform expands the capabilities of embedded droplet printing and allows for its application to areas of continuous materials discovery, screening, and manufacturing. Here, the platform is used for the rapid production of pharmaceutical particles that are highly spherical and uniform, key targets for flowability, and ultimately manufacturability of pharmaceutical drug products. The presented platform achieves a maximum throughput of over 100 g per day, enabling characterization of the superior powder flow properties. The available operating space of this platform is demonstrated for an antisolvent crystallization process with an anti‐malarial drug. This understanding provides design guidelines for how similar platforms may be engineered for precise, rapid, customized, and distributed manufacturing of drug particles with superior flowability.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Innovative Microfluidic and Catalytic Techniques Innovation · 3D Printing in Biomedical Research · Electrohydrodynamics and Fluid Dynamics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Critical Analytics for Manufacturing Personalized‐Medicine Singapore‐MIT Alliance for Research and Technology Singapore 138602 Singapore

Campus for Research Excellence and Technological Enterprise Singapore 138602 Singapore

Department of Chemical and Biomolecular Engineering National University of Singapore Singapore 117585 Singapore

Department of Chemical Engineering Massachusetts Institute of Technology Cambridge MA 02139 USA

Funding

National Science Foundation, United Arab Emirates

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