Process Analytical Technology (PAT) for Smart Manufacturing
: AI-Integrated Online & Inline Chemometric Molecular Profiling System
Monitoring critical quality attributes (CQA) and process parameters including reactants, intermediates, final products, by-products, and biological indicators such as cell viability and aggregates remains a major challenge in chemical and biological manufacturing. Achieving real-time, multivariate, and label-free monitoring is essential for establishing digital twin frameworks and enabling AI-driven process control that continuously optimizes product quality and process efficiency. Conventional PAT tools are limited by offline operation, slow feedback, and lack of integration with intelligent control systems.
Our research develops next-generation PAT platforms that integrate artificial molecular recognition with advanced form factor design, enabling chemometric molecular profiling and multiplexed sensing directly within reactors and production lines. Using microfluidic and fiber-optic arrays embedded with label-free fluorescent nanosensors, we capture real-time chemical and biological dynamics crucial for smart manufacturing. By coupling chemometric analysis with compact lab-on-fiber architectures, our nanosensor-based PAT systems provide the foundation for adaptive AI control and digital twin modeling, offering continuous, high-resolution insight into complex processes. This transformative approach ensures real-time quality assurance, predictive process optimization, and a pathway toward fully autonomous chemical manufacturing.
