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Automation beyond the lab – Integrating the most precise lab pH measurements into production processes

Jun 13, 2022

Article

As you read this blog, thousands of pH measurements are being performed around the world. They often adhere to the same pattern: manual sampling followed by laboratory analysis — meaning inherent disadvantages including increased time expenditure. In contrast, production processes typically require complex analytical techniques and equipment to obtain highly accurate results used for process optimization and control. But what if an exact snapshot of the process is needed to obtain the highest quality information? How do you scale up analysis from the laboratory to the process (i.e., perform analysis under process conditions) and yet still achieve highly accurate results and low measurement uncertainty? The key lies in process analytical technology (PAT) and the use of, e.g., process sensors that enable close and continuous process monitoring and control. 

pH measurement… in the process?

pH is probably one of the most widely used measurement parameters. It plays a central role in all areas of chemistry, pharmaceuticals, biotechnology, foods and beverages, and more. All of these industries require the use of suitable process sensors which play an extraordinary role in production.

In practice, the measurement of voltage with pH-sensitive electrodes is an old but still valid principle used daily in laboratories worldwide. But inline pH measurement, i.e., the determination of the pH value directly in the process, also holds great potential for process optimization. It enables real-time process monitoring without prior manual sampling. This improves product yield and quality, saves time and business costs, and increases the safety of the process.

For several years, the trend has been steadily shifting «from the lab to the process» with increasing urgency. The possibility of scaling up production processes and associated qualitative and quantitative measurements allows higher yields, avoidance of out-of-specification batches, real-time release instead of post-analysis, and much more. Figure 1 shows how production can be monitored and controlled close to the process (atline), with automated sampling (online), or directly in the process stream itself (inline). Over the past decades, laboratory analysis (offline) has thus gradually evolved in the direction of process analysis.

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Figure 1. These four general analysis categories (inline, online, atline, and offline) can be used to monitor production processes in different ways.