Spectrofluorimetric Method for the Assay of Fixed‐Dose Combinations Containing Olmesartan: Sustainability Assessment via Novel Relative Ranking NQS Index, GSST, and Whiteness R ³ GB 12 Model

Abstract

The Need, Quality, and Sustainability (NQS) index was very recently developed. It evaluates the compromise of analytical techniques between social needs, analytical performance, and global sustainability. Regarding ARBs, Olmesartan (OLM) has become one of the worldwide first-line antihypertensive therapies. Its fixed-dose combinations present a solution for insufficient monotherapy or comorbidity conditions. Thus, the demand increased to develop methods that could analyze OLM fixed-dose combinations. This work has adopted the second derivative spectrofluorimetry for assaying OLM with either the β-blocker (Metoprolol, MET) or the cholesterol-lowering drug (Atorvastatin, ATR) in their combined tablets. Comparative sustainability assessment of the proposed versus the reported ones was achieved using the most modern tool (NQS index). For the first time, it was calculated based on whiteness R³GB 12 model as "Quality" aspect. It employs an innovative efficient relative ranking approach using a simple Microsoft Excel function. In addition, the green solvent selection tool (GSST) was incorporated in selecting the greener extraction solvent. Comprehensive evaluation of the reported methods highlights the advantages of the proposed analytical approach. Implementing them in routine analysis of the studied OLM binary combinations was encouraged by high selectivity, linearity, eco-friendliness, and simplicity. Being economic potentiates their vast application in developing countries.