Abstract
Particle size and shape are important in the pharmaceutical industry, affecting both process efficiency and product performance. Quality-by-design and continuous manufacturing are aided with appropriate models of processes — selection and calibration of which are informed by measurement of particle size and shape. Off-line measurements have inherent limitations when following the trajectory of particle attributes in a process; removing and treating material for off-line analysis can alter particle characteristics. In contrast, in-line measurements provide representative measures of particle size and shape at the expense of producing more challenging (out of focus, overlapping particles) datasets for extraction of particle characteristics.
Original language | English |
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Number of pages | 1 |
Publication status | Published - 30 Aug 2021 |
Event | 21st International Symposium on Industrial Crystallisation - Online Duration: 30 Aug 2021 → 2 Sep 2021 https://dechema.de/en/ISIC_2021.html |
Conference
Conference | 21st International Symposium on Industrial Crystallisation |
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Abbreviated title | ISIC 21 |
Period | 30/08/21 → 2/09/21 |
Internet address |
Keywords
- process analytical technologies (PAT)
- deep learning
- in-situ imaging
- particle size