Real-time component-based particle size measurement and dissolution prediction during continuous powder feeding using machine vision and artificial intelligence-based object detection.

Journal: European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
Published Date: Mar 20, 2025

Abstract

This work presents a system, in which machine vision combined with artificial intelligence-based image analysis was used to determine the component-based particle size distribution of pharmaceutical powder blends. The blends consisted of acetylsalicylic acid (ASA) and calcium hydrogen phosphate (CHP). Images of powders were recorded with a digital camera in-line during feeding from a continuous feeder. The component-based particle size distributions determined with the system correlated well with those measured using a microscope as a reference method. This novel method proved to be effective in the real-time determination of particle size distribution of different components in the same blend. It was also possible to predict the in vitro dissolution profile of capsules filled with this blend by using the measured particle size distribution of ASA as input in a population balance model. The method could provide valuable information on the blends used in the pharmaceutical industry and could play a key role in the development of pharmaceutical quality control.

Authors

  • Áron Kálnai
    Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rakpart 3, Budapest H-1111, Hungary.
  • Máté Ficzere
    Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Műegyetem rakpart 3, Hungary.
  • Brigitta Nagy
    Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Műegyetem rakpart 3, Hungary.
  • Orsolya Péterfi
    Department of Drugs Industry and Pharmaceutical Management, University of Medicine, Pharmacy, Sciences and Technology of Târgu Mureș, Gheorghe Marinescu 38, 540139 Târgu Mureș, Romania.
  • Máté Benczúr
    Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rakpart 3, Budapest H-1111, Hungary.
  • Zsombor Kristóf Nagy
    Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary.
  • Dorián László Galata
    Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary. Electronic address: galata.dorian.laszlo@vbk.bme.hu.

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