Resolving Analytical Challenges in Pharmaceutical Process Monitoring Using Multivariate Analysis Methods: Applications in Process Understanding, Control, and Improvement

Multivariate analysis (MVA) refers to an assortment of statistical tools developed handle situations in which more than one variable is involved. MVA indispensable for data interpretation and extraction meaningful data, especially from fast acquisition instruments spectral imaging techniques. This article reviews trends the application pharmaceutical manufacturing control. The models most commonly used drug are compared. potential resolve analytical challenges, such as overcoming matrix effects, extracting reliable dynamic matrices, clustering into groups, removing noise response, resolving overlaps, providing simultaneous multiple components, tackled with examples. Industrial applications capabilities described, special emphasis on process technology (PAT) how can aid understanding A scheme selecting model according available required information proposed.