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Image-based simultaneous particle size distribution and concentration measurement of powder blend components with deep learning and machine vision.
- Source :
-
European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences [Eur J Pharm Sci] 2023 Dec 01; Vol. 191, pp. 106611. Date of Electronic Publication: 2023 Oct 15. - Publication Year :
- 2023
-
Abstract
- This work presents a system, where deep learning was used on images captured with a digital camera to simultaneously determine the API concentration and the particle size distribution (PSD) of two components of a powder blend. The blend consisted of acetylsalicylic acid (ASA) and calcium hydrogen phosphate (CHP), and the predicted API concentration was found corresponding with the HPLC measurements. The PSDs determined with the method corresponded with those measured with laser diffraction particle size analysis. This novel method provides fast and simple measurements and could be suitable for detecting segregation in the powder. By examining the powders discharged from a batch blender, the API concentrations at the top and bottom of the container could be measured, yielding information about the adequacy of the blending and improving the quality control of the manufacturing process.<br />Competing Interests: Declaration of competing interest The authors declare that they have no conflicts of interest.<br /> (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1879-0720
- Volume :
- 191
- Database :
- MEDLINE
- Journal :
- European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 37844806
- Full Text :
- https://doi.org/10.1016/j.ejps.2023.106611