Abstract

In the pharmaceutical industry, ensuring the quality and consistency of products is paramount for patient safety and regulatory compliance. Chemometric tools play a crucial role in quality control (QC) by providing advanced statistical and mathematical techniques for data analysis. This article reviews the application of various chemometric methods, including multivariate analysis, design of experiments (DoE), and chemometric modeling, in pharmaceutical analysis. We discuss their roles in process optimization, quality assessment, and compliance with regulatory standards. Through case studies and practical examples, we highlight how these tools enhance the efficiency and reliability of QC processes, ultimately leading to improved product quality. The importance of integrating chemometrics into routine QC practices is emphasized, alongside future perspectives on the evolving landscape of pharmaceutical analysis.