Lecture

Transforming PAT – A Review On Modern Day Oxygen PAT Sensors With A Twist

  • 09.04.2024 at 10:30 - 11:00
  • ICM Saal 3
  • Language: English
  • Type: Lecture

Lecture description

Ranging from simple temperature, pressure, conductivity or viscosity sensors via color sensing or image-based techniques for shapes to the complicated and AI involving routines using near infrared light reflectance, Raman spectroscopy or other advanced laser-assisted technologies, PAT covers a huge range of diagnostic techniques, measurement concepts and applications. The common ground is that all these tools measure critical process parameters to enable meeting critical product quality attributes securing optimum production yields. By far the most successfully implemented tools, based on sheer number of sensors, are simple one-dimensional sensor concepts like temperature, pressure, conductivity, or viscosity.

With advances in production techniques and more complex processes to control, PAT sensors had to evolve as well. Modern day PATs include technologically much more complicated and scientifically much more demanding detection concepts like spectrometric, chromatographic, x-ray or PCR approaches presently often found in combination with artificial intelligence tools to cope with the complexity of the measurement. Driven by the needed cutting-edge engineering and required delicate knowledge, the market has grown to ~3-4 billion USD in 2022/23 and is estimated to grow at significant rates of 13-18% in the coming decade. While being an interesting market, compared to e.g. temperature sensors ($6.7 billion in 2022 alone) or pressure sensors ($14-15 billion in 2021), it is small and limited.

Simplicity and robustness in combination with economies of scale and the associated cost reductions are obviously growth enablers. Consequently, PAT must become simpler, more robust and affordable in everyday use. On the example of a simple single point sensing for oxygen in processes starting with simple electrical measurements up to presently employed optical techniques using tuneable diode laser absorption spectroscopy (TDLAS) and its most recent advances using statistical processes of uncontrolled, statistically jumping laser sources are reviewed. This contribution will showcase what advances in applications of process analytical technologies are required, needed, and enabled by combining novel sensing techniques with existing applications and everyday challenges in order to close the gap to mass market opportunities for transforming PAT.
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