RECENT ADVANCES IN PHARMACEUTICAL ANALYSIS: ARTIFICIAL INTELLIGENCE, GREEN ANALYTICAL CHEMISTRY, AND SMART QUALITY CONTROL SYSTEMS

Abstract

Pharmaceutical analysis is a critical pillar of pharmaceutical sciences responsible for ensuring the quality, safety, efficacy, and consistency of drug substances and drug products throughout their lifecycle. Traditional analytical methods such as titrimetric analysis, UV-visible spectroscopy, and basic chromatographic techniques have served as the foundation of pharmaceutical quality control for decades. However, the increasing complexity of modern pharmaceuticals-including biologics, nanomedicines, and combination therapies-has necessitated the development of more advanced, sensitive, and intelligent analytical approaches. In recent years, pharmaceutical analysis has undergone a paradigm shift driven by artificial intelligence (AI), machine learning (ML), automation, and green analytical chemistry principles. AI-based analytical systems are capable of processing large and complex datasets generated from spectroscopic and chromatographic techniques, enabling rapid interpretation, impurity profiling, and predictive quality assessment. These systems significantly reduce human error and improve analytical efficiency. Simultaneously, green analytical chemistry has emerged as a sustainable approach focusing on reducing hazardous solvent usage, minimizing energy consumption, and improving environmental compatibility of analytical processes. Furthermore, advanced hyphenated techniques such as LC-MS/MS, GC-MS, and UPLC have revolutionized trace-level detection of impurities, metabolites, and degradation products. The integration of Process Analytical Technology (PAT) and Quality by Design (QbD) frameworks has enabled real-time monitoring of pharmaceutical manufacturing processes, ensuring consistent product quality and regulatory compliance. Emerging technologies such as biosensors, lab-on-a-chip devices, and AI-driven spectroscopy interpretation systems are further reshaping modern pharmaceutical quality control. This review provides a comprehensive and Scopus-style overview of recent advances in pharmaceutical analysis, emphasizing AI integration, green analytical chemistry, advanced instrumental techniques, regulatory frameworks, and future perspectives shaping next-generation pharmaceutical quality systems.