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SeDeM expert system with I-optimal mixture design for oral multiparticulate drug delivery: An encapsulated floating minitablets of loxoprofen Na and its in silico physiologically based pharmacokinetic modeling
Introduction: A SeDeM expert tool-driven I-optimal mixture design has been used to develop a directly compressible multiparticulate based extended release minitablets for gastro-retentive drug delivery systems using loxoprofen sodium as a model drug. Methods: Powder blends were subjected to stress d...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022826/ https://www.ncbi.nlm.nih.gov/pubmed/36937845 http://dx.doi.org/10.3389/fphar.2023.1066018 |
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author | Rauf-ur-Rehman, Shoaib, Muhammad Harris Ahmed, Farrukh Rafiq Yousuf, Rabia Ismail Siddiqui, Fahad Saleem, Muhammad Talha Qazi, Faaiza Khan, Momina Zarish Irshad, Asma Bashir, Lubna Naz, Shazia Farooq, Muhammad Mahmood, Zafar Alam |
author_facet | Rauf-ur-Rehman, Shoaib, Muhammad Harris Ahmed, Farrukh Rafiq Yousuf, Rabia Ismail Siddiqui, Fahad Saleem, Muhammad Talha Qazi, Faaiza Khan, Momina Zarish Irshad, Asma Bashir, Lubna Naz, Shazia Farooq, Muhammad Mahmood, Zafar Alam |
author_sort | Rauf-ur-Rehman, |
collection | PubMed |
description | Introduction: A SeDeM expert tool-driven I-optimal mixture design has been used to develop a directly compressible multiparticulate based extended release minitablets for gastro-retentive drug delivery systems using loxoprofen sodium as a model drug. Methods: Powder blends were subjected to stress drug-excipient compatibility studies using FTIR, thermogravimetric analysis, and DSC. SeDeM diagram expert tool was utilized to assess the suitability of the drug and excipients for direct compression. The formulations were designed using an I-optimal mixture design with proportions of methocel K100M, ethocel 10P and NaHCO(3) as variables. Powder was compressed into minitablets and encapsulated. After physicochemical evaluation lag-time, floating time, and drug release were studied. Heckel analysis for yield pressure and accelerated stability studies were performed as per ICH guidelines. The in silico PBPK Advanced Compartmental and Transit model of GastroPlus™ was used for predicting in vivo pharmacokinetic parameters. Results: Drug release follows first-order kinetics with fickian diffusion as the main mechanism for most of the formulations; however, a few formulations followed anomalous transport as the mechanism of drug release. The in-silico-based pharmacokinetic revealed relative bioavailability of 97.0%. Discussion: SeDeM expert system effectively used in QbD based development of encapsulated multiparticulates for once daily administration of loxoprofen sodium having predictable in-vivo bioavailability. |
format | Online Article Text |
id | pubmed-10022826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100228262023-03-18 SeDeM expert system with I-optimal mixture design for oral multiparticulate drug delivery: An encapsulated floating minitablets of loxoprofen Na and its in silico physiologically based pharmacokinetic modeling Rauf-ur-Rehman, Shoaib, Muhammad Harris Ahmed, Farrukh Rafiq Yousuf, Rabia Ismail Siddiqui, Fahad Saleem, Muhammad Talha Qazi, Faaiza Khan, Momina Zarish Irshad, Asma Bashir, Lubna Naz, Shazia Farooq, Muhammad Mahmood, Zafar Alam Front Pharmacol Pharmacology Introduction: A SeDeM expert tool-driven I-optimal mixture design has been used to develop a directly compressible multiparticulate based extended release minitablets for gastro-retentive drug delivery systems using loxoprofen sodium as a model drug. Methods: Powder blends were subjected to stress drug-excipient compatibility studies using FTIR, thermogravimetric analysis, and DSC. SeDeM diagram expert tool was utilized to assess the suitability of the drug and excipients for direct compression. The formulations were designed using an I-optimal mixture design with proportions of methocel K100M, ethocel 10P and NaHCO(3) as variables. Powder was compressed into minitablets and encapsulated. After physicochemical evaluation lag-time, floating time, and drug release were studied. Heckel analysis for yield pressure and accelerated stability studies were performed as per ICH guidelines. The in silico PBPK Advanced Compartmental and Transit model of GastroPlus™ was used for predicting in vivo pharmacokinetic parameters. Results: Drug release follows first-order kinetics with fickian diffusion as the main mechanism for most of the formulations; however, a few formulations followed anomalous transport as the mechanism of drug release. The in-silico-based pharmacokinetic revealed relative bioavailability of 97.0%. Discussion: SeDeM expert system effectively used in QbD based development of encapsulated multiparticulates for once daily administration of loxoprofen sodium having predictable in-vivo bioavailability. Frontiers Media S.A. 2023-03-03 /pmc/articles/PMC10022826/ /pubmed/36937845 http://dx.doi.org/10.3389/fphar.2023.1066018 Text en Copyright © 2023 Rauf-ur-Rehman, Shoaib, Ahmed, Yousuf, Siddiqui, Saleem, Qazi, Khan, Irshad, Bashir, Naz, Farooq and Mahmood. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Rauf-ur-Rehman, Shoaib, Muhammad Harris Ahmed, Farrukh Rafiq Yousuf, Rabia Ismail Siddiqui, Fahad Saleem, Muhammad Talha Qazi, Faaiza Khan, Momina Zarish Irshad, Asma Bashir, Lubna Naz, Shazia Farooq, Muhammad Mahmood, Zafar Alam SeDeM expert system with I-optimal mixture design for oral multiparticulate drug delivery: An encapsulated floating minitablets of loxoprofen Na and its in silico physiologically based pharmacokinetic modeling |
title | SeDeM expert system with I-optimal mixture design for oral multiparticulate drug delivery: An encapsulated floating minitablets of loxoprofen Na and its in silico physiologically based pharmacokinetic modeling |
title_full | SeDeM expert system with I-optimal mixture design for oral multiparticulate drug delivery: An encapsulated floating minitablets of loxoprofen Na and its in silico physiologically based pharmacokinetic modeling |
title_fullStr | SeDeM expert system with I-optimal mixture design for oral multiparticulate drug delivery: An encapsulated floating minitablets of loxoprofen Na and its in silico physiologically based pharmacokinetic modeling |
title_full_unstemmed | SeDeM expert system with I-optimal mixture design for oral multiparticulate drug delivery: An encapsulated floating minitablets of loxoprofen Na and its in silico physiologically based pharmacokinetic modeling |
title_short | SeDeM expert system with I-optimal mixture design for oral multiparticulate drug delivery: An encapsulated floating minitablets of loxoprofen Na and its in silico physiologically based pharmacokinetic modeling |
title_sort | sedem expert system with i-optimal mixture design for oral multiparticulate drug delivery: an encapsulated floating minitablets of loxoprofen na and its in silico physiologically based pharmacokinetic modeling |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022826/ https://www.ncbi.nlm.nih.gov/pubmed/36937845 http://dx.doi.org/10.3389/fphar.2023.1066018 |
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