From batch rejection to real-time control

The problem with offline quality control

The traditional approach to pharmaceutical quality control takes samples during production and analyses them offline in the lab. This has several drawbacks:

• Time lag between sampling and results, so corrections come too late
• Limited representativeness of samples for the entire batch
• Risk of batch rejection because issues are discovered late
• High costs due to wasted materials and time
• Compliance risks from late detection (GMP, GxP, NIS2)

Process Analytical Technology (PAT)

Process Analytical Technology (PAT) is a system for measuring and controlling manufacturing processes in real time to ensure product quality. Using sensors to track critical quality attributes of raw materials and intermediates, it enables manufacturers to optimise processes, cut costs, and shorten development cycles. Deviations are detected immediately and corrected automatically, without disrupting production.

Data integration: the key to success

The step-change comes from integrating PAT data into the wider production context. A Unified Namespace provides consistent access to all shop-floor data sources, automatically linking PAT measurements to the recipe, material usage, and applicable quality requirements. Each analysis gains the correct context, creating real-time, actionable information for process control.

Quality built in, not checked afterwards

Real-time process analysis with PAT moves quality assurance from after-the-fact testing to in-process control, in line with the Quality by Design (QbD) principle. The result is consistent product quality, regulatory compliance, and fewer batch rejections and losses.

Real-time analytics also provide fast, direct access to high-value data, which is vital for effective control and decision-making. The same data can also feed model-based process optimisation.

From batch thinking to continuous improvement

With precise and up-to-date insights, companies can develop process models that drive more efficient control and ongoing improvement. The shift is from reactive to proactive: preventing problems rather than fixing them afterwards. From batch thinking to continuous improvement.

Why an integrated approach is a must

Successful implementation requires an integrated approach:

• Sensor integration with existing production systems
• Real-time data analysis
• Automated control loops for immediate adjustments

All of this must meet GMP/GxP requirements for documentation and compliance. Clear governance, IEC 62443 segmentation, and operator training are also crucial to realise PAT’s full potential.

Data-driven optimisation within validated limits

In pharma, parameters may only be adjusted within validated ranges, but real-time data can dramatically accelerate reporting and decision-making. PAT enables continuous demonstration of compliance with real-time evidence and supports optimisation within validated limits. Early detection minimises risk, establishing a new standard of quality control that keeps batch rejection to an absolute minimum.