Back to Search Start Over

Simultaneous estimation of ibuprofen, caffeine, and paracetamol in commercial products using a green reverse-phase HPTLC method

Authors :
Alqarni Mohammed Hamed
Shakeel Faiyaz
Alshehri Sultan
Foudah Ahmed Ibrahim
Aljarba Tariq Mohammed
Abdel Bar Fatma Mohamed
Alam Prawez
Source :
Green Processing and Synthesis, Vol 13, Iss 1, Pp 317-23 (2024)
Publication Year :
2024
Publisher :
De Gruyter, 2024.

Abstract

A fast, sensitive, and green reverse-phase “high-performance thin-layer chromatography” approach for the simultaneous estimation of ibuprofen (IBF), caffeine (CAF), and paracetamol (PCM) in marketed formulations was established and verified in this study. The binary combination of acetone and water (80:20 v/v) was used as the green eluent system. The current method’s greenness was predicted using four different approaches, namely National Environmental Method Index, Analytical Eco-Score (89), ChlorTox (1.08 g), and the Analytical GREENness (83) approaches, which demonstrated an outstanding greener profile. The present approach was linear in the range of 25–800 ng·band−1 for the simultaneous estimation of IBF, CAF, and PCM. In addition, the current method was accurate (% recoveries = 100 ± 2), precise (%CV < 2%), robust (%CV < 2), sensitive (LOD = 1.13–2.71 ng·band−1 and LOQ = 3.39–8.10 ng·band−1), and green. The amount of IBF, CAF, and PCM in commercial tablets was determined to be 99.51%, 98.25%, and 100.64%, respectively. The present method for the simultaneous determination of IBF, CAF, and PCM in marketed tablets is supported by these data. The findings of this study suggested that the current approach may be consistently applied to analyze IBF, CAF, and PCM in marketed tablets.

Details

Language :
English
ISSN :
21919550
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Green Processing and Synthesis
Publication Type :
Academic Journal
Accession number :
edsdoj.00c9ae7287d14994a756b497de12d896
Document Type :
article
Full Text :
https://doi.org/10.1515/gps-2023-0220