Preparation and optimisation of solid lipid nanoparticles of rivaroxaban using artificial neural networks and response surface method.

Journal: Journal of microencapsulation
PMID: 39757376

Abstract

AIMS: This study aimed to improve rivaroxaban delivery by optimising solid lipid nanoparticles (SLN) for minimal mean diameter and maximal entrapment efficiency (EE), enhancing solubility, bioavailability, and the ability to cross the blood-brain barrier.

Authors

  • Fatemeh Ghorbannejad Nashli
    Pharmaceutical Sciences Research Center, Hemoglobinopathy Institute, Mazandaran University of Medical Sciences, Sari, Iran.
  • Sareh Aghajanpour
    Pharmaceutical Sciences Research Center, Hemoglobinopathy Institute, Mazandaran University of Medical Sciences, Sari, Iran.
  • Ali Farmoudeh
    Pharmaceutical Sciences Research Center, Hemoglobinopathy Institute, Mazandaran University of Medical Sciences, Sari, Iran.
  • Seyed Sajad Hosseini Balef
    Department of Bioinformatics, Institute of Biochemistry and Biophysics, Tehran, Iran.
  • Meshkat Torkamanian
    Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
  • Alireza Razavi
    Research Center for Clinical Virology, Tehran University of Medical Sciences, Tehran, Iran.
  • Hamid Irannejad
    Department of Medicinal Chemistry, Pharmaceutical Sciences Research Center, Faculty of Pharmacy, Mazandaran University of Medical Sciences, Sari, Iran.
  • Pedram Ebrahimnejad
    Pharmaceutical Sciences Research Center, Hemoglobinopathy Institute, Mazandaran University of Medical Sciences, Sari, Iran.

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