Continuous Wavelet Transform as a Signal Processing Technique for Spectrofluorimetric Analysis of Rosuvastatin and Losartan: Greenness and Blueness Assessment.

Abstract

In this study, the application of continuous wavelet transform as a signal processing technique for the spectrofluorimetric determination of rosuvastatin and losartan is investigated. Both rosuvastatin and losartan exhibited native spectrofluorometric signals with severe overlapping peaks, making their simultaneous determination challenging. To address this issue, rbio 2.4 wavelet transformation was employed to obtain zero-crossing points in the synchronous fluorescence spectra of losartan and rosuvastatin at 346 and 408 nm, respectively, making their quantification possible. The developed method was validated according to the ICH guidelines and displayed high accuracy, precision, and specificity. The method exhibited excellent linearity over concentration ranges 0.2-2.0 and 0.25-2.0 μg/mL for losartan and rosuvastatin, respectively. In addition, LOD and LOQ were 0.046 and 0.140 μg/mL for losartan and 0.036 and 0.110 μg/mL for rosuvastatin, respectively, indicating the high sensitivity of the developed method. Moreover, greenness and blueness assessments were carried, revealing a high AGREE score of 0.71 and BAGI score of 77.5 for the developed method, making it a promising greener alternative for the reported chromatographic methods. Finally, the developed method was applied to the determination of rosuvastatin and losartan in pharmaceutical formulations, posing it as a powerful greener alternative in quality control laboratories.