Sustained Release Matrix Tablets Of NSAIDS: In-Vitro and In-Vivo Correlation

Non-steroidal anti-inflammatory drugs (NSAIDs) have wide applicability in management of inflammatory and pain related diseases but limited applicability is characterized by common use and gastrointestinal disturbance. Present study is the trying to come up with sustained release (SR) matrix tablets of NSAIDs using hydrophilic and hydrophobic polymers and correlate the results of in-vitro drug release with the in-vivo pharmacokinetics response. The Ibuprofen drug was selected to be the model, and the direct compression of matrix tablet with HPMC K100M and ethyl cellulose was done. The drug was undergone in-vitro dissolution study using USP-II apparatus with phosphate buffer (pH7.2) and during in-vivo pharmacokinetics testing using healthy volunteers approach crossover study. They came up with a favourable Level An in-vitro/ in-vivo correlation (IVIVC) (R 2= 0.987), showing that the in-vitro kinetics of drug released is a fair representation of the average put on plasma. Sustained release matrix has succeeded in prolonging the duration of drug release to 12 hours and reduced Cmax which contributed to reduction of adverse effects related to a peak. These findings encourage studies into establishing the means of developing SR NSAID formulation to assist in GI toxicity and compliance in patients.

Authors

Institutions

Publication Details

Journal
Journal of Pharmaceutical Research and Integrated Medical Sciences
Published
2025-07-25
DOI
https://doi.org/10.64063/3049-1681.vol.2.issue7.10
Primary Topic
Drug Solubulity and Delivery Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustained Release Matrix Tablets Of NSAIDS: In-Vitro and In-Vivo Correlation

R S Akshatha, A. Varsha, Ms. Alice Patricia A, N Kushal et al.
Journal of Pharmaceutical Research and Integrated Medical Sciences
Drug Solubulity and Delivery Systems
article

Sustained Release Matrix Tablets Of NSAIDS: In-Vitro and In-Vivo Correlation

R S Akshatha, A. Varsha, Ms. Alice Patricia A, N Kushal, Harshitha Kumari B A
article en

Abstract

Non-steroidal anti-inflammatory drugs (NSAIDs) have wide applicability in management of inflammatory and pain related diseases but limited applicability is characterized by common use and gastrointestinal disturbance. Present study is the trying to come up with sustained release (SR) matrix tablets of NSAIDs using hydrophilic and hydrophobic polymers and correlate the results of in-vitro drug release with the in-vivo pharmacokinetics response. The Ibuprofen drug was selected to be the model, and the direct compression of matrix tablet with HPMC K100M and ethyl cellulose was done. The drug was undergone in-vitro dissolution study using USP-II apparatus with phosphate buffer (pH7.2) and during in-vivo pharmacokinetics testing using healthy volunteers approach crossover study. They came up with a favourable Level An in-vitro/ in-vivo correlation (IVIVC) (R 2= 0.987), showing that the in-vitro kinetics of drug released is a fair representation of the average put on plasma. Sustained release matrix has succeeded in prolonging the duration of drug release to 12 hours and reduced Cmax which contributed to reduction of adverse effects related to a peak. These findings encourage studies into establishing the means of developing SR NSAID formulation to assist in GI toxicity and compliance in patients.

Journal of Pharmaceutical Research and Integrated Medical Sciences
The White House (US)
Openalex Percentile: Top 85%
Drug Solubulity and Delivery Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.