Specialized greenness sustainability tools for evaluation of the spectrophotometric methodologies greenness: Spectral signal manipulation for resolving the interfering telmisartan and metoprolol succinate spectra in their bulk and pharmaceutical formulation

Hypertension is a leading cause of cardiovascular mortality, often accompanied by complications such as arrhythmia and stroke. This silent killer requires a multifaceted pharmacological approach for effective management. This article presents new, environmentally friendly spectrophotometric methods for simultaneous quantification of telmisartan (TER) and metoprolol succinate (MTR) in laboratory prepared mixtures and pharmaceutical formulations. The suggested methodologies include the following: area under the curve method (AUC) utilizing area at specific wavelength ranges 228–233 nm (λ₁ – λ₂) and 240–245 nm (λ₃ – λ₄) for each analyte and Fourier self-deconvolution method (FD) depending on built-in function to address spectral interferences. In addition, the induced dual wavelength method (IDWL) employing equality factors to obtain absorbance differences at designated wavelengths, ratio difference method (RD) utilizing divisor-based ratio spectra where the utilized divisors were TER 40 μg/mL and MTR 90 μg/mL, and ratio derivative method (RDV) generating spectra through first derivative application that was measured at 266 nm and 246 nm for TER and MTR, respectively. These methods offer green alternatives for the accurate and precise determination of TER and MTR with exceptional linearity of 3–45, and 15–200 μg/mL for TER and MTR, respectively. Furthermore, the methods showed a coefficient of determination exceeding 0.9995 and good detection and quantification levels. A comprehensive greenness assessment, employing five distinct evaluation tools, confirmed the reduced environmental impact of the proposed methods in terms of waste generation, chemical consumption, and instrument safety. Successful analysis of pharmaceutical formulations and laboratory prepared mixtures containing different TER and MTR ratios confirmed the validity of the proposed methods. Standard addition studies further supported these findings, and the statistical results were comparable to those obtained using a reference method.