Evaluation of floatability characteristics of gastroretentive tablets using VIS imaging with artificial neural networks.

Journal: European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
PMID: 39270990

Abstract

Gastroretentive dosage forms are recommended for several active substances because it is often necessary for the drug to be released from the carrier system into the stomach over an extended period. Among gastroretentive dosage forms, floating tablets are a very popular pharmaceutical technology. In this study, it was investigated whether a rapid, nondestructive method can be used to characterize the floating properties of a tablet. To accomplish our objective, the same composition was compressed, and varied compression forces were applied to achieve the desired tablet. In addition to physical examinations, digital microscopic images of the tablets were captured and analyzed using image analysis techniques, allowing the investigation of the floatability of the dosage form. Image processing algorithms and artificial neural networks (ANNs) were utilized to classify the samples based on their strength and floatability. The input dataset consisted solely of the acquired images. It has been shown by our research that visible imaging coupled with pattern recognition neural networks is an efficient way to categorize these samples based on their floatability. Rapid and non-destructive digital imaging of tablet surfaces is facilitated by this method, offering insights into both crushing strength and floating properties.

Authors

  • Melinda Kakuk
    Department of Pharmaceutics, Semmelweis University, 9 Hőgyes Endre Street, Budapest H-1092, Hungary; Egis Pharmaceuticals PLC, 116-120 Bökényföldi Street, Budapest H-1165, Hungary.
  • Lilla Alexandra Mészáros
    Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, H-1111 Budapest, Műegyetem rakpart 3, Hungary.
  • Dóra Farkas
    Department of Pharmaceutics, Semmelweis University, 9 Hőgyes Endre Street, Budapest H-1092, Hungary.
  • Péter Tonka-Nagy
    Egis Pharmaceuticals PLC, 116-120 Bökényföldi Street, Budapest H-1165, Hungary.
  • Bence Tóth
    Department of Pharmaceutics, Semmelweis University, 9 Hőgyes Endre Street, Budapest H-1092, 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.
  • István Antal
    Department of Pharmaceutics, Semmelweis University, H-1092 Budapest, Hőgyes Endre street 7-9, Hungary.
  • Nikolett Kállai-Szabó
    Department of Pharmaceutics, Semmelweis University, H-1092 Budapest, Hőgyes Endre street 7-9, Hungary. Electronic address: kallai.nikolett@pharma.semmelweis-univ.hu.

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