• DSRT spectrophotometry resolved a quinary mixture into binary systems stepwise. • AI-enhanced accuracy, precision, and spectral optimization within the DSRT workflow. • The method is efficient, eco-friendly, and AI-optimized, hence aligns with SAC • AGSA and RGB12 metrics confirmed the method’s strong green and sustainable profile. • GLANCE framework visualized a clear summary of the method’s overall performance. This study presents sustainable drug analysis solutions for the pharmaceutical industry through intelligent mathematical equations and AI integration, featuring the Downgrading Spectral Resolution Technique (DSRT) monitored and analyzed by AI for the simultaneous analysis of a complex quinary mixture: Aceclofenac (ACL), paracetamol (PCT), phenylephrine hydrochloride (PHY), cetirizine hydrochloride (CTZ), and caffeine (CAF) in the challenging ratio of 10:32.5:0.5:1:2.5. Propylene carbonate was used as a green solvent, aligning with GAC principles. The method simplifies analysis by reducing the quinary mixtures to a quaternary oneof ACL, PCT, PHY, and CTZ using ratio subtraction. Double divisor ratio subtraction (DD-RS) was then applied to resolve the quaternary mixture into two binary mixtures: ACL/PCT and PHY/CTZ. These were analyzed using ratio subtraction with spectrum subtraction (RS-SS), followed by either the area under the curve (AUC) method or first derivative measurements at zero-crossing points. CAF was determined using the constant multiplication (CM) method. Linearity was validated over the ranges: ACL (7.0–97.0 µg/mL), PCT (13.0–42.25 µg/mL), PHY (0.35–3.05 µg/mL), CTZ (0.7–3.7 µg/mL), and CAF (1.0–6.75 µg/mL). The method demonstrated accuracy and precision in both lab-prepared mixtures and commercial tablets. The developed methods align with the principles of smart analytical chemistry, integrating Green Analytical Chemistry(GAC), White Analytical Chemistry (WAC). Additionally, the Graphical Layout Tool for Analytical Chemistry Evaluation (GLANCE) framework was employed to visually assess the method across twelve critical dimensions, enhancing transparency and communication.
Arunagiri et al. (Wed,) studied this question.