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MIT Advances Drug Manufacturing with Rapid Particle Size Monitoring Technology

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Published on September 24, 2024
MIT Advances Drug Manufacturing with Rapid Particle Size Monitoring TechnologySource: Wikipedia/MorgueFile : see [1], CC BY-SA 3.0, via Wikimedia Commons

MIT researchers have delivered a significant breakthrough for the pharmaceutical industry by vastly improving the speed at which medication manufacturing can monitor particle sizes, critical in the drug production process. The new method, showcased in an open-access paper, accelerates particle size distribution estimation by an astonishing 60 times, making the process more efficient and less wasteful.

The traditional approaches to particle size monitoring were laborious and wasteful. The MIT team's newly developed scattered light technique, in contrast, requires only a single snapshot speckle image to estimate particle size distribution (PSD). The research, part of the MIT-Takeda program and detailed in the journal Light: Science & Applications, not only promises to increase efficiency but also aims at reducing the number of product failures in pharmaceutical manufacturing.

"Our main contribution in this work is accelerating a particle size detection method by 60 times, with a collective optimization of both algorithm and hardware," said Qihang Zhang, PhD '23, an associate researcher at Tsinghua University, according to an interview with MIT News. The new technique uses what's known as 'pupil engineering' to minimize the frames needed for analysis, thus slashing the time from 15 seconds to a mere quarter of a second.

The practical implications of this advancement are significant. Not only does the new method provide a low-cost, noninvasive particle size probe, but it can easily be integrated with existing drying systems in the pharmaceutical industry. This compatibility, as long as an observation window is available, means that current manufacturing processes can directly benefit from this technological leap. Furthermore, the previous absence of such an online monitoring capability had hindered systematical study of dynamical models in manufacturing. With this new tool, researchers can now embark on a series of studies to better understand particle size evolution during the drug production process.

Contributors to this transformative work hail from several departments at MIT, including Mechanical Engineering, Chemical Engineering, and Electrical Engineering and Computer Science, reflecting a collaborative effort that blends physics and engineering expertise. George Barbastathis, professor of mechanical engineering at MIT, is the senior author of the study, which underlines the cross-disciplinary collaboration that led to this industrial innovation.

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