Mathematical Modeling for Pharmacokinetic Predictions from Controlled Drug Release Nano Systems: A comparative parametric study

Ziyad S. Haidar

doi:10.13005/bpj/1552

Mathematical Modeling for Pharmacokinetic Predictions from Controlled Drug Release Nano Systems: A comparative parametric study

Ziyad S. Haidar

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

In the present work, several mathematical models well-known in the literature for simulating drug release kinetics are compared using available experimental data sets obtained in real systems with different drugs and nano-sized carriers. Herein, the ÷² minimization method, is employedconcluding that the Korsmeyer-Peppas modelprovides the best-ûtin all cases. Hence, (i) better understanding of the exact mass transport mechanism(s) involved in drug(s) release, and (ii) quantitative prediction of the drug release kinetics, can be computed.

Original language	English
Pages (from-to)	1801-1806
Number of pages	6
Journal	Biomedical and Pharmacology Journal
Volume	11
Issue number	4
DOIs	https://doi.org/10.13005/bpj/1552 https://doi.org/10.13005/bpj/1552
State	Published - 28 Dec 2018

Bibliographical note

Publisher Copyright:
© 2018 Oriental Scientific Publishing Company.

Keywords

Drug dissolution
Least squares method
Mathematical modelling
Model comparison
Release kinetics
Statistical analysis

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title = "Mathematical Modeling for Pharmacokinetic Predictions from Controlled Drug Release Nano Systems: A comparative parametric study",

abstract = "In the present work, several mathematical models well-known in the literature for simulating drug release kinetics are compared using available experimental data sets obtained in real systems with different drugs and nano-sized carriers. Herein, the ÷2 minimization method, is employedconcluding that the Korsmeyer-Peppas modelprovides the best-{\^u}tin all cases. Hence, (i) better understanding of the exact mass transport mechanism(s) involved in drug(s) release, and (ii) quantitative prediction of the drug release kinetics, can be computed.",

keywords = "Drug dissolution, Least squares method, Mathematical modelling, Model comparison, Release kinetics, Statistical analysis, Drug dissolution, Least squares method, Mathematical modelling, Model comparison, Release kinetics, Statistical analysis",

author = "Haidar, \{Ziyad S.\}",

note = "Publisher Copyright: {\textcopyright} 2018 Oriental Scientific Publishing Company.",

year = "2018",

month = dec,

day = "28",

doi = "10.13005/bpj/1552",

language = "English",

volume = "11",

pages = "1801--1806",

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TY - JOUR

T1 - Mathematical Modeling for Pharmacokinetic Predictions from Controlled Drug Release Nano Systems

T2 - A comparative parametric study

AU - Haidar, Ziyad S.

PY - 2018/12/28

Y1 - 2018/12/28

N2 - In the present work, several mathematical models well-known in the literature for simulating drug release kinetics are compared using available experimental data sets obtained in real systems with different drugs and nano-sized carriers. Herein, the ÷2 minimization method, is employedconcluding that the Korsmeyer-Peppas modelprovides the best-ûtin all cases. Hence, (i) better understanding of the exact mass transport mechanism(s) involved in drug(s) release, and (ii) quantitative prediction of the drug release kinetics, can be computed.

AB - In the present work, several mathematical models well-known in the literature for simulating drug release kinetics are compared using available experimental data sets obtained in real systems with different drugs and nano-sized carriers. Herein, the ÷2 minimization method, is employedconcluding that the Korsmeyer-Peppas modelprovides the best-ûtin all cases. Hence, (i) better understanding of the exact mass transport mechanism(s) involved in drug(s) release, and (ii) quantitative prediction of the drug release kinetics, can be computed.

KW - Drug dissolution

KW - Least squares method

KW - Mathematical modelling

KW - Model comparison

KW - Release kinetics

KW - Statistical analysis

KW - Drug dissolution

KW - Least squares method

KW - Mathematical modelling

KW - Model comparison

KW - Release kinetics

KW - Statistical analysis

UR - https://www.scopus.com/pages/publications/85062955096

U2 - 10.13005/bpj/1552

DO - 10.13005/bpj/1552

M3 - Article

AN - SCOPUS:85062955096

SN - 0974-6242

VL - 11

SP - 1801

EP - 1806

JO - Biomedical and Pharmacology Journal

JF - Biomedical and Pharmacology Journal

IS - 4

ER -

Mathematical Modeling for Pharmacokinetic Predictions from Controlled Drug Release Nano Systems: A comparative parametric study

Abstract

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Keywords

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