Process Analytical Technology (PAT) empowers manufacturers to obtain real-time measurements and control over their production process, by using the Critical Quality Attributes (CQAs) of their products. With this approach, manufacturers can fine-tune process parameters to achieve optimal quality, while simultaneously streamlining the cost and time required for product development and manufacturing.
PAT provides the ability to measure Critical Quality Attributes (CQAs) in real time, enabling continuous quality control of the process. This approach aligns with the FDA's current drug quality system, which emphasizes the importance of building quality into products by design rather than testing it in later.
In-line or on-line instrumentation is used within the PAT framework to analyze raw materials, in-process materials, and final products in real time. Multivariate and univariate instrument data is interpreted to optimize process outcomes by adjusting the CPPs, and understanding how those changes may affect the process and end product.
Multivariate analysis (MVA), also known as chemometrics, is used to analyze univariate and spectral instrumentation data to predict CQAs. Real-time quality predictions are made through experiments, which establish the relationships between CPPs and CQAs and develop true process understanding.
PAT can be employed throughout the development and manufacturing process, from laboratory and R&D operations to complex interconnected GMP processes.
PAT delivers significant quality and commercial benefits, including:
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