Formulation and Assessment of Indomethacin Nanoparticles for Dissolution Improvement

Indomethacin is a nonsteroidal anti-inflammatory drug useful to reduce pain, rheumatoid arthritis and fever. Indomethacin, a Class II drug characterized by high permeability and low solubility. The goal of study was to develop Indomethacin nanoparticles by nanoprecipitation method and subsequently investigate if this nanoparticle formulation leads to enhanced solubility and a faster dissolution rate. Nine different formulas were prepared by using three different polymers (HPMC E50, PVP- K30, and poloxamer -188) in three different drug: polymer ratio 1:1, 1:2 and 1:3. Different types and concentrations of polymer used in this study, and the results reveal and found to have a significant (p≤ 0.05) effect on Indomethacin nanoparticle size. The selected formulation N2 contain PVP-K30 in drug: polymer ratio 1:1, has a smallest particle size (94.3 nm) and largest surface area 23.6 m2/g. This formula N2 was freeze dried and subjected for further characterized surface morphology by SEM, and compatibility study by FTIR and DSC. The drug content of N2 formulation contain (95.13±0.5%) of Indomethacin nanoparticles, and the dissolution study demonstrated that the optimized formulation N2 achieved 100% dissolution within 50 minutes, compared to only 20% for raw Indomethacin. In summary, Indomethacin nanoparticles formulation is a suitable method for improving the solubility and release profile of it.

Authors

Publication Details

Journal
Maaen Journal for Medical Sciences
Published
2025-06-11
DOI
https://doi.org/10.55810/2789-9136.1072
Primary Topic
Crystallization and Solubility Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Formulation and Assessment of Indomethacin Nanoparticles for Dissolution Improvement

Malath Hatif Oudah, Fatima Mohamed Hussian Wais
Maaen Journal for Medical Sciences
Crystallization and Solubility Studies
article

Formulation and Assessment of Indomethacin Nanoparticles for Dissolution Improvement

Malath Hatif Oudah, Fatima Mohamed Hussian Wais
article en

Abstract

Indomethacin is a nonsteroidal anti-inflammatory drug useful to reduce pain, rheumatoid arthritis and fever. Indomethacin, a Class II drug characterized by high permeability and low solubility. The goal of study was to develop Indomethacin nanoparticles by nanoprecipitation method and subsequently investigate if this nanoparticle formulation leads to enhanced solubility and a faster dissolution rate. Nine different formulas were prepared by using three different polymers (HPMC E50, PVP- K30, and poloxamer -188) in three different drug: polymer ratio 1:1, 1:2 and 1:3. Different types and concentrations of polymer used in this study, and the results reveal and found to have a significant (p≤ 0.05) effect on Indomethacin nanoparticle size. The selected formulation N2 contain PVP-K30 in drug: polymer ratio 1:1, has a smallest particle size (94.3 nm) and largest surface area 23.6 m2/g. This formula N2 was freeze dried and subjected for further characterized surface morphology by SEM, and compatibility study by FTIR and DSC. The drug content of N2 formulation contain (95.13±0.5%) of Indomethacin nanoparticles, and the dissolution study demonstrated that the optimized formulation N2 achieved 100% dissolution within 50 minutes, compared to only 20% for raw Indomethacin. In summary, Indomethacin nanoparticles formulation is a suitable method for improving the solubility and release profile of it.

Maaen Journal for Medical SciencesVol. 4(2)
Openalex Percentile: Top 91%
Crystallization and Solubility Studies
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.