Predicting drug release rate of implantable matrices and better understanding of the underlying mechanisms through experimental design and artificial neural network-based modelling

Benkő, Ernő (author), German Ilić, Ilija (author), Kristó, Katalin (author), Regdon, Géza (author), Csóka, Ildikó (author), Pintye-Hódi, Klára (author), Srčič, Stanko (author), Sovány, Tamás (author)

There is a growing interest in implantable drug delivery systems (DDS) in pharmaceutical science. The aim of the present study is to investigate whether it is possible to customize drug release from implantable DDSs through drug–carrier interactions. Therefore, a series of chemically similar active ingredients (APIs) was mixed with different matrix-forming materials and was then compressed directly. Compression and dissolution interactions were examined by FT-IR spectroscopy. Regarding the effect of the interactions on drug release kinetics, a custom-made dissolution device designed for implantable systems was used. The data obtained were used to construct models based on artificial neural networks (ANNs) to predict drug dissolution. FT-IR studies confirmed the presence of H-bond-based solid-state interactions that intensified during dissolution. These results confirmed our hypothesis that interactions could significantly affect both the release rate and the amount of the released drug. The efficiencies of the kinetic parameter-based and point-to-point ANN models were also compared, where the results showed that the point-to-point models better handled predictive inaccuracies and provided better overall predictive efficiency.

• Language: English
• Keywords: drug–excipient interaction, polymers, non-degradable polymers, matrix tablet, controlled release, design of experiments, artificial neural networks
• Work type: Article
• Typology: 1.01 - Original Scientific Article
• Organization: FFA - Faculty of Pharmacy
• Publication status: Published
• Publication version: Version of Record
• Year: 2022
• Number of pages: 16 str.
• Numbering: Vol. 14, iss. 2, art. 228
• PID: 20.500.12556/RUL-137104
• UDC: 678.7:615
• ISSN on article: 1999-4923
• DOI: 10.3390/pharmaceutics14020228
• COBISS.SI-ID: 94193411
• Publication date in RUL: 01.06.2022

Record is a part of a journal

• Title: Pharmaceutics
• Shortened title: Pharmaceutics
• Publisher: MDPI
• ISSN: 1999-4923
• COBISS.SI-ID: 517949977

Licences

• License: CC BY 4.0, Creative Commons Attribution 4.0 International
• Link: http://creativecommons.org/licenses/by/4.0/
• Description: This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
• Licensing start date: 01.02.2022

Secondary language

• Language: Slovenian
• Keywords: interakcija med zdravili, interakcija med pomožnimi snovmi, nerazgradljivost, matrične tablete, nadzorovano sproščanje, načrtovanje eksperimentov, umetne nevronske mreže, zdravila, polimeri

Projects

• Funder: Other - Other funder or multiple funders
• Funding programme: CEEPUS Mobility
• Project number: CIII-RS-1113-01-1718-M-113871

• Funder: Other - Other funder or multiple funders
• Funding programme: Hungary, Ministry of Innovation and Technology, National Research, Development, and Innovation Fund
• Project number: TKP2021-EGA-32